diff --git a/model_specs/dramabox.json b/model_specs/dramabox.json
index ed494c8d3..3ecbe701b 100644
--- a/model_specs/dramabox.json
+++ b/model_specs/dramabox.json
@@ -57,7 +57,7 @@
       {
         "name": "num_inference_steps",
         "type": "int",
-        "description": "Diffusion sampling step count; default comes from config.json, 30 in the current package.",
+        "description": "Diffusion sampling step count; default 30.",
         "required": false,
         "min": 1,
         "default": 30
@@ -65,7 +65,7 @@
       {
         "name": "guidance_scale",
         "type": "float",
-        "description": "Classifier-free guidance scale; default comes from config.json, 2.5 in the current package. Values greater than 1 enable CFG.",
+        "description": "Classifier-free guidance scale; default 2.5. Values greater than 1 enable CFG.",
         "required": false,
         "min": 0.0,
         "default": 2.5
@@ -73,7 +73,7 @@
       {
         "name": "spatio_temporal_guidance_scale",
         "type": "float",
-        "description": "Spatio-temporal guidance scale; default comes from config.json, 1.5 in the current package. Values greater than 0 enable STG.",
+        "description": "Spatio-temporal guidance scale; default 1.5. Values greater than 0 enable STG.",
         "required": false,
         "min": 0.0,
         "default": 1.5
@@ -81,7 +81,7 @@
       {
         "name": "duration_scale",
         "type": "float",
-        "description": "Multiplier applied to the estimated prompt duration when duration_sec is 0; default comes from config.json, 1.1 in the current package.",
+        "description": "Multiplier applied to the estimated prompt duration when duration_sec is 0; default 1.1.",
         "required": false,
         "min": 0.0,
         "default": 1.1
@@ -89,7 +89,7 @@
       {
         "name": "reference_duration_sec",
         "type": "float",
-        "description": "Reference voice crop/repeat duration in seconds; default comes from config.json, 10.0 in the current package.",
+        "description": "Reference voice crop/repeat duration in seconds; default 10.0.",
         "required": false,
         "min": 0.0,
         "default": 10.0
diff --git a/model_specs/firered_audio.json b/model_specs/firered_audio.json
index 7e54daf4b..32f05f856 100644
--- a/model_specs/firered_audio.json
+++ b/model_specs/firered_audio.json
@@ -182,14 +182,6 @@
         "min": 1,
         "default": 1024
       },
-      {
-        "name": "helper_graph_arena_mb",
-        "type": "int",
-        "description": "Helper graph arena size in MiB; default 256.",
-        "required": false,
-        "min": 1,
-        "default": 256
-      },
       {
         "name": "weight_context_mb",
         "type": "int",
diff --git a/model_specs/fish_audio.json b/model_specs/fish_audio.json
index 9a15337c7..8530e14d2 100644
--- a/model_specs/fish_audio.json
+++ b/model_specs/fish_audio.json
@@ -29,7 +29,7 @@
       {
         "name": "reference_text",
         "type": "string",
-        "description": "Reference transcript used with speaker reference audio.",
+        "description": "Reference transcript used with speaker reference audio. Required whenever the request carries inline reference audio; the model rejects the request without it.",
         "required": false
       },
       {
@@ -57,10 +57,15 @@
       {
         "name": "text_chunk_mode",
         "type": "enum",
-        "description": "Framework text chunking mode; default word_budget.",
-        "preset": "text_chunk_mode_full",
+        "description": "Framework text chunking mode; default default.",
+        "values": [
+          "default",
+          "tag_aware",
+          "japanese",
+          "endline"
+        ],
         "required": false,
-        "default": "word_budget"
+        "default": "default"
       },
       {
         "name": "top_p",
diff --git a/model_specs/granite5asr.json b/model_specs/granite5asr.json
index f576999fb..ae85c315d 100644
--- a/model_specs/granite5asr.json
+++ b/model_specs/granite5asr.json
@@ -22,13 +22,6 @@
   },
   "options": {
     "request": [
-      {
-        "name": "language",
-        "type": "string",
-        "description": "Recognition language (currently English).",
-        "required": false,
-        "default": "en"
-      },
       {
         "name": "audio_chunk_mode",
         "type": "enum",
diff --git a/model_specs/heartmula.json b/model_specs/heartmula.json
index 0392f868e..d6f87fdec 100644
--- a/model_specs/heartmula.json
+++ b/model_specs/heartmula.json
@@ -26,13 +26,13 @@
         "name": "lyrics",
         "type": "string",
         "description": "Lyrics text.",
-        "required": false
+        "required": true
       },
       {
         "name": "tags",
         "type": "string",
         "description": "Comma-separated music tags.",
-        "required": false
+        "required": true
       },
       {
         "name": "duration_sec",
diff --git a/model_specs/irodori_tts.json b/model_specs/irodori_tts.json
index 4da584fe6..ccebb6390 100644
--- a/model_specs/irodori_tts.json
+++ b/model_specs/irodori_tts.json
@@ -74,6 +74,8 @@
         "type": "enum",
         "description": "Text chunking mode; default endline.",
         "values": [
+          "default",
+          "tag_aware",
           "japanese",
           "endline"
         ],
diff --git a/model_specs/midashenglm_gen.json b/model_specs/midashenglm_gen.json
index 5704bf86f..0f92dbec0 100644
--- a/model_specs/midashenglm_gen.json
+++ b/model_specs/midashenglm_gen.json
@@ -67,9 +67,9 @@
       {
         "name": "seed",
         "type": "int",
-        "description": "Generation seed; -1 selects a random seed.",
+        "description": "Generation seed; parsed as an unsigned 32-bit value, so negative seeds are rejected.",
         "required": false,
-        "min": -1,
+        "min": 0,
         "max": 2147483647,
         "default": 0
       }
diff --git a/model_specs/minimax_h3.json b/model_specs/minimax_h3.json
index 9ac47500a..d4a38a686 100644
--- a/model_specs/minimax_h3.json
+++ b/model_specs/minimax_h3.json
@@ -192,6 +192,24 @@
         "min": 0.0,
         "default": 0.1
       },
+      {
+        "name": "first_block_cache_start_percent",
+        "type": "float",
+        "description": "Start of the denoise window where the first-block cache may be used, as a fraction of the schedule.",
+        "required": false,
+        "min": 0.0,
+        "max": 1.0,
+        "default": 0.1
+      },
+      {
+        "name": "first_block_cache_end_percent",
+        "type": "float",
+        "description": "End of the denoise window where the first-block cache may be used, as a fraction of the schedule; must be greater than first_block_cache_start_percent.",
+        "required": false,
+        "min": 0.0,
+        "max": 1.0,
+        "default": 0.95
+      },
       {
         "name": "first_block_cache_start_sigma",
         "type": "float",
diff --git a/model_specs/minimax_music3.json b/model_specs/minimax_music3.json
index 97c165638..4da4d6aae 100644
--- a/model_specs/minimax_music3.json
+++ b/model_specs/minimax_music3.json
@@ -80,6 +80,47 @@
         "required": false,
         "min": 0,
         "default": 0
+      },
+      {
+        "name": "flow_uncond_interval",
+        "type": "int",
+        "description": "Evaluate the flow unconditional CFG branch only every N-th step and reuse the cached guidance delta in between; 1 keeps the exact reference trajectory.",
+        "required": false,
+        "min": 1,
+        "default": 1
+      },
+      {
+        "name": "flow_uncond_warmup",
+        "type": "int",
+        "description": "Number of initial flow steps that always evaluate both CFG branches when delta reuse is enabled.",
+        "required": false,
+        "min": 0,
+        "default": 2
+      },
+      {
+        "name": "ensemble_takes",
+        "type": "int",
+        "description": "Decode N independent takes of the same prompt in one batched AR pass (seeds seed..seed+N-1); outputs are returned as named audio take_01..take_NN.",
+        "required": false,
+        "min": 1,
+        "max": 16,
+        "default": 1
+      },
+      {
+        "name": "ensemble_prefix_frames",
+        "type": "int",
+        "description": "Intro-lock for ensembles: decode the first N AR frames once as a shared master trajectory (~25 frames per second), then fork the takes; 0 disables.",
+        "required": false,
+        "min": 0,
+        "default": 0
+      },
+      {
+        "name": "flow_chunk_hop_frames",
+        "type": "int",
+        "description": "Flow chunk hop in AR frames (~25/sec); 0 keeps the model config (100, 50% chunk overlap).",
+        "required": false,
+        "min": 0,
+        "default": 0
       }
     ],
     "session": [
@@ -141,6 +182,13 @@
         "description": "Load large generation stages only while they are needed to reduce peak VRAM.",
         "required": false,
         "default": true
+      },
+      {
+        "name": "pipeline_overlap",
+        "type": "bool",
+        "description": "Overlap AR decoding with per-chunk condition/flow/vocoder work on a second backend stream. Requires mem_saver=false; falls back to the sequential pipeline otherwise.",
+        "required": false,
+        "default": false
       }
     ],
     "load": []
diff --git a/model_specs/miocodec.json b/model_specs/miocodec.json
index 8cb71e543..c94907a99 100644
--- a/model_specs/miocodec.json
+++ b/model_specs/miocodec.json
@@ -26,6 +26,60 @@
       "speaker_reference"
     ]
   },
+  "options": {
+    "request": [],
+    "session": [
+      {
+        "name": "weight_type",
+        "type": "enum",
+        "description": "Codec weight storage type; default f32.",
+        "preset": "weight_type_full",
+        "required": false,
+        "default": "f32"
+      },
+      {
+        "name": "weight_context_mb",
+        "type": "int",
+        "description": "Codec weight descriptor context size in MiB; default 256.",
+        "required": false,
+        "min": 1,
+        "default": 256
+      },
+      {
+        "name": "constant_context_mb",
+        "type": "int",
+        "description": "Reusable constant context size in MiB; default 256.",
+        "required": false,
+        "min": 1,
+        "default": 256
+      },
+      {
+        "name": "content_graph_arena_mb",
+        "type": "int",
+        "description": "Content encoder graph arena size in MiB; default 512.",
+        "required": false,
+        "min": 1,
+        "default": 512
+      },
+      {
+        "name": "global_graph_arena_mb",
+        "type": "int",
+        "description": "Global encoder graph arena size in MiB; default 256.",
+        "required": false,
+        "min": 1,
+        "default": 256
+      },
+      {
+        "name": "wave_graph_arena_mb",
+        "type": "int",
+        "description": "Wave decoder graph arena size in MiB; default 512.",
+        "required": false,
+        "min": 1,
+        "default": 512
+      }
+    ],
+    "load": []
+  },
   "runtime": {
     "tags": [
       "gguf"
diff --git a/model_specs/mms_forced_aligner.json b/model_specs/mms_forced_aligner.json
index 9862dee61..793ad37b7 100644
--- a/model_specs/mms_forced_aligner.json
+++ b/model_specs/mms_forced_aligner.json
@@ -61,7 +61,7 @@
       {
         "name": "return_timestamps",
         "type": "bool",
-        "description": "Request word timestamps in the result; set automatically by --words-out.",
+        "description": "Accepted for cross-model compatibility (--words-out sets it) and ignored: the forced aligner always returns word timestamps.",
         "required": false,
         "default": true
       }
diff --git a/model_specs/outetts.json b/model_specs/outetts.json
index fc8e7dedc..4eae1b8bc 100644
--- a/model_specs/outetts.json
+++ b/model_specs/outetts.json
@@ -107,7 +107,7 @@
       {
         "name": "reference_text",
         "type": "string",
-        "description": "Transcript matching the reference voice audio for voice cloning.",
+        "description": "Transcript matching the reference voice audio for voice cloning. Required whenever reference audio is supplied; the model rejects voice cloning without it.",
         "required": false
       },
       {
@@ -128,10 +128,15 @@
       {
         "name": "text_chunk_mode",
         "type": "enum",
-        "description": "Framework long-form text chunking mode; default word_budget.",
-        "preset": "text_chunk_mode_full",
+        "description": "Framework long-form text chunking mode; default default.",
+        "values": [
+          "default",
+          "tag_aware",
+          "japanese",
+          "endline"
+        ],
         "required": false,
-        "default": "word_budget"
+        "default": "default"
       }
     ],
     "session": [
diff --git a/model_specs/parakeet_tdt.json b/model_specs/parakeet_tdt.json
index 7d9910dd8..96be20dfa 100644
--- a/model_specs/parakeet_tdt.json
+++ b/model_specs/parakeet_tdt.json
@@ -54,6 +54,12 @@
   },
   "options": {
     "request": [
+      {
+        "name": "language",
+        "type": "string",
+        "description": "Transcription language from the OpenAI-compatible request field. Accepted for API compatibility; Parakeet TDT detects the language itself and does not use this value (see keep_language_tags).",
+        "required": false
+      },
       {
         "name": "max_tokens",
         "type": "int",
diff --git a/model_specs/qwen3_forced_aligner.json b/model_specs/qwen3_forced_aligner.json
index 060d45db8..a5083531e 100644
--- a/model_specs/qwen3_forced_aligner.json
+++ b/model_specs/qwen3_forced_aligner.json
@@ -37,6 +37,63 @@
         "required": false,
         "default": false
       }
+    ],
+    "session": [
+      {
+        "name": "weight_type",
+        "type": "enum",
+        "description": "Fallback weight storage type for the thinker; default native.",
+        "preset": "weight_type_full",
+        "required": false,
+        "default": "native"
+      },
+      {
+        "name": "thinker_weight_type",
+        "type": "enum",
+        "description": "Thinker matmul weight storage type; defaults to weight_type when set, otherwise native.",
+        "preset": "weight_type_full",
+        "required": false
+      },
+      {
+        "name": "audio_encoder_weight_type",
+        "type": "enum",
+        "description": "Audio encoder weight storage type; default native.",
+        "preset": "weight_type_conv",
+        "required": false,
+        "default": "native"
+      },
+      {
+        "name": "audio_encoder_graph_arena_mb",
+        "type": "int",
+        "description": "Audio encoder graph arena size in MiB; default 128.",
+        "required": false,
+        "min": 1,
+        "default": 128
+      },
+      {
+        "name": "thinker_prefill_graph_arena_mb",
+        "type": "int",
+        "description": "Thinker prefill graph arena size in MiB; default 256.",
+        "required": false,
+        "min": 1,
+        "default": 256
+      },
+      {
+        "name": "thinker_decode_graph_arena_mb",
+        "type": "int",
+        "description": "Thinker decode graph arena size in MiB; default 256.",
+        "required": false,
+        "min": 1,
+        "default": 256
+      },
+      {
+        "name": "thinker_weight_context_mb",
+        "type": "int",
+        "description": "Thinker weight descriptor context size in MiB; default 64.",
+        "required": false,
+        "min": 1,
+        "default": 64
+      }
     ]
   },
   "runtime": {
diff --git a/model_specs/sense_asr.json b/model_specs/sense_asr.json
index 868b896a3..2cc6102e2 100644
--- a/model_specs/sense_asr.json
+++ b/model_specs/sense_asr.json
@@ -69,10 +69,11 @@
       {
         "name": "audio_chunk_mode",
         "type": "enum",
-        "description": "Audio chunking mode: auto, fixed, or none.",
+        "description": "Audio chunking mode: auto, fixed, vad, or none.",
         "values": [
           "auto",
           "fixed",
+          "vad",
           "none"
         ],
         "required": false,
diff --git a/model_specs/voxcpm1.json b/model_specs/voxcpm1.json
index 66376a33c..423545b32 100644
--- a/model_specs/voxcpm1.json
+++ b/model_specs/voxcpm1.json
@@ -46,21 +46,21 @@
         "type": "int",
         "description": "Maximum MiniCPM output tokens.",
         "required": false,
-        "default": 1024
+        "default": 4096
       },
       {
         "name": "min_tokens",
         "type": "int",
         "description": "Minimum MiniCPM output tokens before an EOS stop is honored.",
         "required": false,
-        "default": 0
+        "default": 2
       },
       {
         "name": "num_inference_steps",
         "type": "int",
         "description": "CFM diffusion sampling steps.",
         "required": false,
-        "default": 50
+        "default": 10
       },
       {
         "name": "guidance_scale",
@@ -81,7 +81,7 @@
         "type": "int",
         "description": "Maximum bad-case retry count.",
         "required": false,
-        "default": 2
+        "default": 3
       },
       {
         "name": "retry_badcase_ratio_threshold",
diff --git a/webui/configs/model_params.json b/webui/configs/model_params.json
index 68890fdfa..33b69d601 100644
--- a/webui/configs/model_params.json
+++ b/webui/configs/model_params.json
@@ -1,48 +1,59 @@
 {
   "echo_tts": [
-    {"name": "num_inference_steps", "type": "slider", "label": "num_inference_steps", "label_en": "Sampling steps", "default": 40, "minimum": 8, "maximum": 40, "step": 1, "precision": 0, "info": "Euler sampler steps."},
+    {"name": "num_inference_steps", "type": "slider", "label": "num_inference_steps", "label_en": "Sampling steps", "default": 40, "minimum": 8, "maximum": 120, "step": 1, "precision": 0, "info": "Euler sampler steps.", "info_en": "Euler sampler steps. No upper bound in the model; higher is slower and steadier."},
     {"name": "text_guidance_scale", "type": "slider", "label": "text_guidance_scale", "label_en": "Text guidance", "default": 3.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
     {"name": "speaker_guidance_scale", "type": "slider", "label": "speaker_guidance_scale", "label_en": "Speaker guidance", "default": 8.0, "minimum": 0.0, "maximum": 15.0, "step": 0.1},
     {"name": "truncation_factor", "type": "slider", "label": "truncation_factor", "label_en": "Noise truncation", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
     {"name": "guidance_interval", "type": "slider", "label": "guidance_interval", "label_en": "Guidance interval", "default": 1, "minimum": 1, "maximum": 3, "step": 1, "precision": 0, "info": "Refresh the unconditional CFG lanes every Nth guided step. Higher is faster and works best with more steps; 1 is highest fidelity."},
-    {"name": "reference_duration_sec", "type": "slider", "label": "reference_duration_sec", "label_en": "Reference trim (s)", "default": 15.0, "minimum": 1.0, "maximum": 60.0, "step": 1.0, "info": "Trim the speaker reference before encoding. Around 10 s usually clones best."},
-    {"name": "seed", "type": "number", "label": "seed", "label_en": "Seed", "default": 0, "minimum": 0, "step": 1, "precision": 0}
+    {"name": "reference_duration_sec", "type": "slider", "label": "reference_duration_sec", "label_en": "Reference trim (s)", "default": 15.0, "minimum": 1.0, "maximum": 60.0, "step": 1.0, "info": "Trim the speaker reference before encoding. Around 10 s usually clones best."}
   ],
-  "_comment": "WebUI TTS 高级参数控件配置：按模型 family 动态生成控件（gr.render）。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/info=显示文案；default=默认值(应等于模型默认，已按 src/models/<family>/*.cpp 校对)；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。规则：只有被用户改动过的控件值才会随请求发送；seed/max_tokens 已有专用输入框，勿在此重复；参考文本用『参考文本』框(reference_text)；文件路径/parity 类参数(如 *_noise_file)未纳入，可用『其它参数(JSON)』兜底框传。",
+
+  "_comment": "WebUI 模型参数控件配置：按 catalog 条目 id 或 family 生成控件。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/label_en、info/info_en、placeholder/placeholder_en=显示文案；default=默认值；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。 BEHAVIOUR: the native UI seeds every control from its `default` and sends the whole set with every request (webui/native/src/routes/+page.svelte resetParams/requestOptions), so a `default` here is an UNCONDITIONAL OVERRIDE of the model's own default, never a fallback. Every default must therefore be read from the C++ (src/models/<family>/, src/community_models/<family>/) or from the packaged config the C++ derives it from. To let the model or its checkpoint decide, OMIT `default`: the control then sends \"\", and runtime::find_option_match (src/framework/runtime/options.cpp:151) ignores empty values, so the option counts as unset. Use type=number/text for those so the widget renders blank. `minimum` must not sit below the C++ guard - a slider that can reach an illegal value produces a 500. KEYS: ~27 families call runtime::validate_spec_backed_request_options (include/engine/framework/runtime/spec_backed_model.h:59) and hard-reject any key absent from model_specs/<family>.json options.request - the KEY is checked even when the value is empty. Spec min/max are documentation only and are never enforced. L10N: catalog.ts discards any label/info/placeholder containing Han characters, so every entry needs the _en variant or it renders as raw snake_case. 勿在此重复：seed/max_tokens 已有专用输入框(服务端用顶层 seed 覆盖 options[\"seed\"]，app/server/runtime.cpp:1876)；参考文本用『参考文本』框(reference_text)；语种用顶层 language 框。文件路径/说话人向量/parity 类参数(如 *_noise_file、speaker_embedding、multi_reference_cond)未纳入，可用『其它参数(JSON)』兜底框传。",
 
   "qwen3_tts": [
-    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.9, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
+    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.9, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0 while do_sample is on."},
     {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
     {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
     {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.05, "minimum": 1.0, "maximum": 2.0, "step": 0.01},
     {"name": "do_sample", "type": "bool", "label": "do_sample", "default": true},
-    {"name": "instruct", "type": "text", "label": "instruct（仅 VoiceDesign/CustomVoice）", "default": "", "placeholder": "风格/音色指令，Base 版忽略"},
-    {"name": "speaker", "type": "text", "label": "speaker（仅 CustomVoice）", "default": "", "placeholder": "内置音色名，其它版忽略"}
+    {"name": "subtalker_do_sample", "type": "bool", "label": "subtalker_do_sample", "label_en": "Sub-talker: sample", "default": true},
+    {"name": "subtalker_temperature", "type": "slider", "label": "subtalker_temperature", "label_en": "Sub-talker: temperature", "default": 0.9, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0 while subtalker_do_sample is on."},
+    {"name": "subtalker_top_k", "type": "number", "label": "subtalker_top_k", "label_en": "Sub-talker: top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "subtalker_top_p", "type": "slider", "label": "subtalker_top_p", "label_en": "Sub-talker: top-p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "x_vector_only_mode", "type": "bool", "label": "x_vector_only_mode（仅 VoiceClone）", "label_en": "x_vector_only_mode (VoiceClone only)", "default": false, "info_en": "Condition on the speaker embedding alone instead of in-context reference audio. Ignored by other variants."},
+    {"name": "instruct", "type": "text", "label": "instruct（仅 VoiceDesign/CustomVoice）", "label_en": "instruct (VoiceDesign / CustomVoice only)", "default": "", "placeholder": "风格/音色指令，Base 版忽略", "placeholder_en": "Style or timbre instruction; ignored by Base models"},
+    {"name": "speaker", "type": "text", "label": "speaker（仅 CustomVoice）", "label_en": "speaker (CustomVoice only)", "default": "", "placeholder": "内置音色名，其它版忽略", "placeholder_en": "Built-in voice name; ignored by other variants"}
   ],
 
   "vibevoice": [
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "扩散步数（官方默认 10），越大越慢越稳"},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.3, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info": "CFG 引导强度"},
-    {"name": "max_length_times", "type": "number", "label": "max_length_times", "default": 2.0, "minimum": 0.1, "step": 0.1, "info": "最大输出长度倍数"},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "minimum": 1, "step": 1, "precision": 0, "info": "留空=用模型自带的 ddpm_num_inference_steps（随包，7B 为 20）", "info_en": "Blank uses the packaged model's own ddpm_num_inference_steps (20 in the shipped 7B). Setting a value overrides it for every request."},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.3, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info": "CFG 引导强度", "info_en": "Classifier-free guidance strength."},
+    {"name": "max_length_times", "type": "number", "label": "max_length_times", "default": 2.0, "minimum": 0.1, "step": 0.1, "info": "最大输出长度倍数", "info_en": "Cap on output length as a multiple of the estimated token count."},
     {"name": "temperature", "type": "slider", "label": "temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05},
     {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.05, "maximum": 1.0, "step": 0.01},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0, "info_en": "Must be non-negative; 0 disables top-k."},
     {"name": "do_sample", "type": "bool", "label": "do_sample", "default": false},
-    {"name": "voice_samples", "type": "text", "label": "voice_samples（多说话人，逗号分隔 wav，≤4）", "default": "", "placeholder": "D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色"}
+    {"name": "voice_samples", "type": "text", "label": "voice_samples（多说话人，逗号分隔 wav，≤4）", "label_en": "voice_samples (multi-speaker: comma-separated WAVs, max 4)", "default": "", "placeholder": "D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色", "placeholder_en": "/a.wav,/b.wav - do not also upload a reference voice when using this"}
   ],
 
   "voxcpm2": [
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "CFM/DiT 步数"},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "CFM/DiT 步数", "info_en": "CFM/DiT sampling steps."},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
     {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "default": "tag_aware", "choices": ["default", "tag_aware", "japanese", "endline"]},
     {"name": "min_tokens", "type": "number", "label": "min_tokens", "default": 2, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "retry_badcase", "type": "bool", "label": "retry_badcase（自动重试异常输出）", "default": true}
+    {"name": "retry_badcase", "type": "bool", "label": "retry_badcase（自动重试异常输出）", "label_en": "retry_badcase (auto-retry bad generations)", "default": true},
+    {"name": "retry_badcase_max_times", "type": "number", "label": "retry_badcase_max_times（最大重试次数）", "label_en": "Retry attempts", "default": 3, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."},
+    {"name": "retry_badcase_ratio_threshold", "type": "number", "label": "retry_badcase_ratio_threshold（时长/字数比阈值）", "label_en": "Retry length-ratio threshold", "default": 6.0, "minimum": 0.1, "step": 0.5, "info_en": "Audio-seconds-per-character ratio above which a take is treated as a bad case. Must be positive."}
   ],
 
   "voxcpm1": [
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "CFM/DiT 步数"},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0, "info": "CFM/DiT 步数", "info_en": "CFM/DiT sampling steps."},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "tag_aware", "choices": ["default", "tag_aware", "japanese", "endline"]},
     {"name": "min_tokens", "type": "number", "label": "min_tokens", "default": 2, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "retry_badcase", "type": "bool", "label": "retry_badcase（自动重试异常输出）", "default": true}
+    {"name": "retry_badcase", "type": "bool", "label": "retry_badcase（自动重试异常输出）", "label_en": "retry_badcase (auto-retry bad generations)", "default": true},
+    {"name": "retry_badcase_max_times", "type": "number", "label": "retry_badcase_max_times（最大重试次数）", "label_en": "Retry attempts", "default": 3, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."},
+    {"name": "retry_badcase_ratio_threshold", "type": "number", "label": "retry_badcase_ratio_threshold（时长/字数比阈值）", "label_en": "Retry length-ratio threshold", "default": 6.0, "minimum": 0.1, "step": 0.5, "info_en": "Audio-seconds-per-character ratio above which a take is treated as a bad case. Must be positive."}
   ],
 
   "miotts": [
@@ -50,14 +61,17 @@
     {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
     {"name": "top_p", "type": "slider", "label": "top_p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
     {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.0, "minimum": 1.0, "maximum": 1.5, "step": 0.01},
-    {"name": "best_of_n", "type": "number", "label": "best_of_n（候选数，>1 自动开启）", "default": 1, "minimum": 1, "maximum": 8, "step": 1, "precision": 0}
+    {"name": "miotts.best_of_n", "type": "number", "label": "miotts.best_of_n（候选数，>1 自动开启）", "label_en": "best_of_n (candidate count; >1 enables best-of-N selection)", "default": 1, "minimum": 1, "maximum": 8, "step": 1, "precision": 0}
   ],
 
   "chatterbox": [
-    {"name": "exaggeration", "type": "slider", "label": "exaggeration", "default": 0.5, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info": "改动后需重新『加载模型』才生效"},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "改动后需重新『加载模型』才生效"},
+    {"name": "exaggeration", "type": "slider", "label": "exaggeration", "default": 0.5, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info_en": "Applied at model load; reload the model after changing it."},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info_en": "Applied at model load; reload the model after changing it."},
     {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
-    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.2, "minimum": 1.0, "maximum": 2.0, "step": 0.01}
+    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 1.2, "minimum": 1.0, "maximum": 2.0, "step": 0.01},
+    {"name": "min_p", "type": "slider", "label": "min_p", "label_en": "Min-p", "default": 0.05, "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info_en": "Chatterbox's real truncation filter: tokens below max_prob * min_p are masked. top_p defaults to 1.0 and is a deliberate no-op."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info_en": "Inert at 1.0 by design; lower it only if you also raise min_p out of the way."},
+    {"name": "s3gen_cfg_rate", "type": "slider", "label": "s3gen_cfg_rate", "label_en": "S3Gen guidance", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05}
   ],
 
   "chatterbox-vc": [
@@ -69,23 +83,38 @@
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 32, "minimum": 1, "step": 1, "precision": 0},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
     {"name": "speed", "type": "slider", "label": "speed", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
-    {"name": "instruct", "type": "text", "label": "instruct（风格/音色指令）", "default": "", "placeholder": "如：以轻快的语气朗读"}
+    {"name": "instruct", "type": "text", "label": "instruct（风格/音色指令）", "label_en": "instruct (style / voice instruction)", "default": "", "placeholder": "如：以轻快的语气朗读", "placeholder_en": "e.g. read this in a bright, upbeat tone"},
+    {"name": "reference_max_seconds", "type": "number", "label": "reference_max_seconds（参考音频最长秒数）", "label_en": "Reference cap (s)", "default": 15.0, "minimum": 0.0, "step": 1.0, "info": "参考超过约 15 s 后音色克隆明显劣化；0=不限制", "info_en": "Cloning quality collapses past roughly 15 s of reference speech; the clip is cut back to the last pause inside this window. 0 disables the limit."},
+    {"name": "reference_pad_ms", "type": "number", "label": "reference_pad_ms", "label_en": "Reference silence pad (ms)", "default": 150, "minimum": 0, "step": 10, "precision": 0, "info_en": "Digital silence written onto both ends of a trimmed reference. Must be non-negative."},
+    {"name": "t_shift", "type": "slider", "label": "t_shift", "label_en": "Timestep shift", "default": 0.1, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "class_temperature", "type": "slider", "label": "class_temperature", "label_en": "Class temperature", "default": 0.0, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info_en": "0 picks the argmax token; above 0 samples the codebook class."},
+    {"name": "position_temperature", "type": "slider", "label": "position_temperature", "label_en": "Position temperature", "default": 5.0, "minimum": 0.0, "maximum": 20.0, "step": 0.5, "info_en": "0 disables Gumbel sampling of the unmasking order."},
+    {"name": "layer_penalty_factor", "type": "slider", "label": "layer_penalty_factor", "label_en": "Layer penalty", "default": 5.0, "minimum": 0.0, "maximum": 20.0, "step": 0.5, "info_en": "Score penalty per codebook layer when choosing which position to unmask next."},
+    {"name": "denoise", "type": "bool", "label": "denoise", "label_en": "Denoise reference", "default": true},
+    {"name": "preprocess_prompt", "type": "bool", "label": "preprocess_prompt", "label_en": "Preprocess reference", "default": true},
+    {"name": "postprocess_output", "type": "bool", "label": "postprocess_output", "label_en": "Postprocess output", "default": true},
+    {"name": "audio_chunk_threshold", "type": "number", "label": "audio_chunk_threshold", "label_en": "Long-form chunk threshold (s)", "default": 30.0, "minimum": 0.0, "step": 1.0},
+    {"name": "audio_chunk_duration", "type": "number", "label": "audio_chunk_duration", "label_en": "Long-form chunk length (s)", "default": 15.0, "minimum": 0.0, "step": 1.0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "tag_aware", "choices": ["default", "tag_aware", "japanese", "endline"]}
   ],
 
   "sense_asr": [
     {"name": "enable_itn", "type": "bool", "label": "enable_itn（逆文本规范化）", "label_en": "enable_itn", "default": true},
     {"name": "keep_tags", "type": "bool", "label": "keep_tags（保留语言/情绪/事件标签）", "label_en": "keep_tags", "default": false},
-    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "default": "auto", "choices": ["auto", "fixed", "none"]},
-    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "default": 30, "minimum": 0.001, "step": 1}
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "vad", "none"], "info_en": "vad segments on detected speech; auto and vad share the same code path."},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "default": 30, "minimum": 0.001, "step": 1}
   ],
 
   "pocket_tts": [
-    {"name": "frames_after_eos", "type": "number", "label": "frames_after_eos（-1=自动）", "default": -1, "minimum": -1, "step": 1, "precision": 0}
+    {"name": "frames_after_eos", "type": "number", "label": "frames_after_eos（-1=自动）", "label_en": "frames_after_eos (-1 = automatic)", "default": -1, "minimum": -1, "step": 1, "precision": 0}
   ],
 
   "neutts": [
     {"name": "voice_id", "type": "choice", "label": "voice_id（内置音色）", "label_en": "voice_id (built-in voice)", "default": "emily", "choices": ["dave", "emily", "greta", "jo", "juliette", "mateo", "paul", "sophie", "steven"]},
-    {"name": "emotion", "type": "choice", "label": "emotion（情绪）", "label_en": "emotion", "default": "neutral", "choices": ["angry", "disgusted", "sad", "happy", "fearful", "neutral", "surprised"]}
+    {"name": "emotion", "type": "choice", "label": "emotion（情绪）", "label_en": "emotion", "default": "neutral", "choices": ["angry", "disgusted", "sad", "happy", "fearful", "neutral", "surprised"]},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be positive."},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."},
+    {"name": "min_tokens", "type": "number", "label": "min_tokens", "label_en": "Min speech tokens", "default": 50, "minimum": 0, "step": 1, "precision": 0, "info_en": "Minimum tokens generated before an end-of-speech token may stop decoding."}
   ],
 
   "magpie_tts": [
@@ -111,16 +140,16 @@
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.5, "minimum": 0.0, "maximum": 8.0, "step": 0.1},
     {"name": "spatio_temporal_guidance_scale", "type": "slider", "label": "spatio_temporal_guidance_scale", "default": 1.5, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
     {"name": "duration_scale", "type": "slider", "label": "duration_scale（自动估时倍率）", "label_en": "duration_scale", "default": 1.1, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
-    {"name": "reference_duration_sec", "type": "number", "label": "reference_duration_sec（参考音频裁剪/重复秒数）", "label_en": "reference_duration_sec", "default": 10.0, "minimum": 0.0, "step": 0.5},
-    {"name": "guidance_rescale", "type": "text", "label": "guidance_rescale", "default": "auto", "placeholder": "auto 或数值"},
-    {"name": "audio_chunk_threshold_sec", "type": "number", "label": "audio_chunk_threshold_sec（长文本阈值）", "label_en": "audio_chunk_threshold_sec", "default": 45.0, "minimum": 0.0, "step": 1.0},
-    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec（长文本分段目标时长）", "label_en": "audio_chunk_duration_sec", "default": 37.0, "minimum": 0.0, "step": 1.0},
+    {"name": "reference_duration_sec", "type": "number", "label": "reference_duration_sec（参考音频裁剪/重复秒数）", "label_en": "reference_duration_sec", "default": 10.0, "minimum": 0.5, "step": 0.5, "info_en": "Must be positive."},
+    {"name": "guidance_rescale", "type": "text", "label": "guidance_rescale", "default": "auto", "placeholder": "auto 或数值", "placeholder_en": "auto, or a number"},
+    {"name": "audio_chunk_threshold_sec", "type": "number", "label": "audio_chunk_threshold_sec（长文本阈值）", "label_en": "audio_chunk_threshold_sec", "default": 45.0, "minimum": 1.0, "step": 1.0, "info_en": "Must be positive."},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec（长文本分段目标时长）", "label_en": "audio_chunk_duration_sec", "default": 37.0, "minimum": 1.0, "step": 1.0, "info_en": "Must be positive."},
     {"name": "cross_fade_duration_sec", "type": "number", "label": "cross_fade_duration_sec（分段交叉淡化）", "label_en": "cross_fade_duration_sec", "default": 0.05, "minimum": 0.0, "step": 0.01}
   ],
 
   "confucius4_tts": [
-    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
-    {"name": "top_p", "type": "slider", "label": "top_p", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be positive."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "default": 0.8, "minimum": 0.01, "maximum": 1.0, "step": 0.01, "info_en": "Must be within (0, 1]."},
     {"name": "top_k", "type": "number", "label": "top_k", "default": 30, "minimum": 1, "step": 1, "precision": 0},
     {"name": "num_beams", "type": "number", "label": "num_beams", "default": 3, "minimum": 1, "step": 1, "precision": 0},
     {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "default": 10.0, "minimum": 0.0, "maximum": 20.0, "step": 0.1},
@@ -134,27 +163,28 @@
   ],
 
   "ace_step": [
-    {"name": "route", "type": "choice", "label": "route（操作类型）", "default": "text2music", "choices": ["text2music", "complete", "lego", "extract", "cover", "cover-nofsq", "repaint", "remix"], "info": "cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md"},
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "maximum": 20, "step": 1, "precision": 0, "info": "扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8"},
-    {"name": "shift", "type": "slider", "label": "shift（时间步弯曲）", "default": 3.0, "minimum": 1.0, "maximum": 5.0, "step": 0.5, "info": "原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字"},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
-    {"name": "audio_cover_strength", "type": "slider", "label": "【cover】audio_cover_strength", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "1=贴近原曲，0=自由发挥；建议 0.5"},
-    {"name": "cover_noise_strength", "type": "slider", "label": "【cover】cover_noise_strength", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "保旋律强度；推荐 0.1~0.25"},
-    {"name": "source_caption", "type": "text", "label": "【remix】source_caption", "default": "", "placeholder": "源歌曲描述；『🔍 分析』自动填"},
-    {"name": "source_lyrics", "type": "text", "lines": 4, "label": "【remix】source_lyrics", "default": "", "placeholder": "源歌曲原歌词；『🔍 分析』自动填"},
-    {"name": "flow_edit_n_min", "type": "slider", "label": "【remix】flow_edit_n_min", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "调大更保源曲、换词更弱"},
-    {"name": "flow_edit_n_max", "type": "slider", "label": "【remix】flow_edit_n_max", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "唱不出新歌词时降到 0.7~0.9"},
-    {"name": "flow_edit_n_avg", "type": "number", "label": "【remix】flow_edit_n_avg", "default": 2, "minimum": 1, "maximum": 4, "step": 1, "precision": 0, "info": "每步多次采样取平均（remix 默认 2）；1=最快"},
-    {"name": "bpm", "type": "number", "label": "【曲谱】BPM", "default": 0, "minimum": 0, "step": 1, "precision": 0, "info": "0=不指定"},
-    {"name": "keyscale", "type": "text", "label": "【曲谱】keyscale", "default": "", "placeholder": "如 F major"},
-    {"name": "timesignature", "type": "text", "label": "【曲谱】timesignature", "default": "", "placeholder": "如 4"}
+    {"name": "route", "type": "choice", "label": "route（操作类型）", "label_en": "route (task)", "default": "text2music", "choices": ["text2music", "complete", "lego", "extract", "cover", "cover-nofsq", "repaint"], "info": "cover/cover-nofsq=换词翻唱；非 text2music 需上传源音频；详见 webui/README.md", "info_en": "cover and cover-nofsq re-sing new lyrics. Every route except text2music needs a source audio upload; see webui/README.md."},
+    {"name": "negative_prompt", "type": "text", "label": "negative_prompt", "label_en": "Negative prompt", "default": "", "placeholder_en": "Blank uses the model's \"NO USER INPUT\" placeholder"},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "maximum": 20, "step": 1, "precision": 0, "info": "扩散步数；turbo 权重会被静默限制为 8", "info_en": "Diffusion steps. Turbo checkpoints are silently clamped to 8; only base checkpoints use more."},
+    {"name": "shift", "type": "slider", "label": "shift（时间步弯曲）", "label_en": "shift (timestep curve)", "default": 1.0, "minimum": 1.0, "maximum": 5.0, "step": 0.5, "info": "官方默认 1.0；extract 路由由模型自动改用 3.0", "info_en": "Model default is 1.0. The extract route sets 3.0 itself, so leaving this at 1.0 no longer overrides it."},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "label_en": "Guidance scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
+    {"name": "audio_cover_strength", "type": "slider", "label": "【cover】audio_cover_strength", "label_en": "audio_cover_strength (cover routes)", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "1=贴近原曲，0=自由发挥；建议 0.5", "info_en": "1 hugs the source track, 0 improvises. Around 0.5 works well."},
+    {"name": "cover_noise_strength", "type": "slider", "label": "【cover】cover_noise_strength", "label_en": "cover_noise_strength (cover routes)", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info": "保旋律强度；推荐 0.1~0.25", "info_en": "Melody retention. 0.1 to 0.25 is the usual range."},
+    {"name": "bpm", "type": "number", "label": "【曲谱】BPM", "label_en": "BPM", "default": 0, "minimum": 0, "step": 1, "precision": 0, "info": "0=不指定", "info_en": "0 leaves the tempo unspecified."},
+    {"name": "keyscale", "type": "text", "label": "【曲谱】keyscale", "label_en": "Key / scale", "default": "", "placeholder": "如 F major", "placeholder_en": "e.g. F major"},
+    {"name": "timesignature", "type": "text", "label": "【曲谱】timesignature", "label_en": "Time signature", "default": "", "placeholder": "如 4", "placeholder_en": "e.g. 4"}
   ],
 
   "minimax_music3": [
     {"name": "num_inference_steps", "type": "number", "label": "Flow steps per window", "default": 30, "minimum": 1, "maximum": 200, "step": 1, "precision": 0, "info": "Flow-matching Euler steps per 200-frame denoising window."},
     {"name": "guidance_scale", "type": "slider", "label": "Flow guidance scale", "default": 1.7, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
     {"name": "ar_guidance_scale", "type": "slider", "label": "AR guidance scale", "default": 1.5, "minimum": 0.0, "maximum": 10.0, "step": 0.1, "info": "Classifier-free guidance of the semantic and residual code sampling."},
-    {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 1, "maximum": 1024, "step": 1, "precision": 0}
+    {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 1, "maximum": 1024, "step": 1, "precision": 0},
+    {"name": "ensemble_takes", "type": "number", "label": "ensemble_takes", "label_en": "Ensemble takes", "default": 1, "minimum": 1, "maximum": 16, "step": 1, "precision": 0, "info_en": "Decode N independent takes in one batched pass (seeds seed, seed+1, ...). Extra takes are returned as take_01...take_NN."},
+    {"name": "ensemble_prefix_frames", "type": "number", "label": "ensemble_prefix_frames", "label_en": "Ensemble intro lock (frames)", "default": 0, "minimum": 0, "step": 10, "precision": 0, "info_en": "Decode the first N frames once and share them across takes before they diverge. 0 disables the fork."},
+    {"name": "flow_uncond_interval", "type": "number", "label": "flow_uncond_interval", "label_en": "Flow CFG reuse interval", "default": 1, "minimum": 1, "step": 1, "precision": 0, "info_en": "Above 1 reuses the cached guidance delta on intermediate steps: faster, slightly off the exact reference trajectory. 1 is exact."},
+    {"name": "flow_uncond_warmup", "type": "number", "label": "flow_uncond_warmup", "label_en": "Flow CFG warmup steps", "default": 2, "minimum": 0, "step": 1, "precision": 0, "info_en": "Leading steps that always evaluate the unconditional branch when reuse is on."},
+    {"name": "flow_chunk_hop_frames", "type": "number", "label": "flow_chunk_hop_frames", "label_en": "Flow chunk hop (frames)", "default": 0, "minimum": 0, "step": 10, "precision": 0, "info_en": "0 uses the model config's hop of 100. A larger hop means fewer chunks and less double-denoising."}
   ],
 
   "minimax_h3": [
@@ -163,29 +193,35 @@
     {"name": "guidance_scale", "type": "slider", "label": "Guidance scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
     {"name": "sampler", "type": "choice", "label": "Sampler", "default": "euler", "choices": ["euler", "res_multistep", "dpmpp_2m", "unipc"]},
     {"name": "dit_acceleration", "type": "choice", "label": "DiT acceleration", "default": "none", "choices": ["none", "spectrum", "first_block_cache"], "info": "None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs."},
-    {"name": "return_video", "type": "bool", "label": "Decode video", "default": false, "info": "Disabled by default to reduce memory use and return audio only."}
+    {"name": "return_video", "type": "bool", "label": "Decode video", "default": false, "info": "Disabled by default to reduce memory use and return audio only."},
+    {"name": "negative_prompt", "type": "text", "label": "negative_prompt", "label_en": "Negative prompt", "default": "", "placeholder_en": "Blank uses the model default"}
   ],
 
   "stable_audio": [
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "step": 1, "precision": 0, "info": "RF 扩散步数"},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 8, "minimum": 1, "step": 1, "precision": 0, "info": "RF 扩散步数", "info_en": "Rectified-flow sampling steps."},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
-    {"name": "audio_input_kind", "type": "choice", "label": "audio_input_kind（仅上传源音频时生效）", "default": "init_audio", "choices": ["init_audio", "inpaint_audio"]},
-    {"name": "init_noise_level", "type": "slider", "label": "init_noise_level（init_audio 强度）", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05}
+    {"name": "audio_input_kind", "type": "choice", "label": "audio_input_kind（仅上传源音频时生效）", "label_en": "audio_input_kind (only used when a source audio file is uploaded)", "default": "init_audio", "choices": ["init_audio", "inpaint_audio"]},
+    {"name": "init_noise_level", "type": "slider", "label": "init_noise_level（init_audio 强度）", "label_en": "init_noise_level (init_audio strength)", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
+    {"name": "negative_prompt", "type": "text", "label": "negative_prompt", "label_en": "Negative prompt", "default": "", "placeholder_en": "Blank applies no negative conditioning"},
+    {"name": "sampler", "type": "choice", "label": "sampler", "label_en": "Sampler", "default": "pingpong", "choices": ["pingpong", "euler"], "info_en": "Only pingpong and euler are accepted; the dpmpp entries in the CLI help text are rejected by the parser."}
   ],
 
   "seed_vc": [
-    {"name": "route", "type": "choice", "label": "route（转换路径）", "default": "", "choices": ["", "v2_vc", "v1_whisper_bigvgan_vc", "v1_xlsr_hift_vc", "v1_svc"], "info": "留空=按任务默认"},
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 30, "minimum": 1, "step": 1, "precision": 0, "info": "CFM 扩散步数"},
-    {"name": "length_adjust", "type": "slider", "label": "length_adjust（时长伸缩）", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
-    {"name": "intelligibility_cfg_rate", "type": "slider", "label": "intelligibility_cfg_rate（仅 v2_vc）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
-    {"name": "similarity_cfg_rate", "type": "slider", "label": "similarity_cfg_rate（仅 v2_vc）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
-    {"name": "inference_cfg_rate", "type": "slider", "label": "inference_cfg_rate（仅 v1 路径）", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05}
+    {"name": "route", "type": "choice", "label": "route（转换路径）", "label_en": "route (conversion path)", "default": "", "choices": ["", "v2_vc", "v1_whisper_bigvgan_vc", "v1_xlsr_hift_vc", "v1_svc"], "info": "留空=按任务默认", "info_en": "Blank = pick the default path for the selected task."},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 30, "minimum": 1, "step": 1, "precision": 0, "info": "CFM 扩散步数", "info_en": "CFM diffusion steps."},
+    {"name": "length_adjust", "type": "slider", "label": "length_adjust（时长伸缩）", "label_en": "length_adjust (duration stretch)", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
+    {"name": "intelligibility_guidance_scale", "type": "slider", "label": "intelligibility_guidance_scale（仅 v2_vc）", "label_en": "Intelligibility guidance (v2_vc only)", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
+    {"name": "similarity_guidance_scale", "type": "slider", "label": "similarity_guidance_scale（仅 v2_vc）", "label_en": "Similarity guidance (v2_vc only)", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
+    {"name": "inference_guidance_scale", "type": "slider", "label": "inference_guidance_scale（仅 v1 路径）", "label_en": "Inference guidance (v1 paths only)", "default": 0.7, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
+    {"name": "f0_condition", "type": "bool", "label": "f0_condition（仅 v1 路径）", "label_en": "f0_condition (v1 routes only)", "default": false, "info_en": "Enable F0 conditioning. Required for singing voice conversion on the v1_svc route."},
+    {"name": "auto_f0_adjust", "type": "bool", "label": "auto_f0_adjust（仅 v1 路径）", "label_en": "auto_f0_adjust (v1 routes only)", "default": false, "info_en": "Shift the source pitch toward the target speaker's pitch level."},
+    {"name": "semitone_shift", "type": "number", "label": "semitone_shift（仅 v1 路径）", "label_en": "semitone_shift (v1 routes only)", "default": 0, "minimum": -24, "maximum": 24, "step": 1, "precision": 0}
   ],
 
   "rvc": [
     {"name": "voice_id", "type": "choice", "label": "voice_id（打包音色）", "label_en": "voice_id", "default": "default", "choices": ["default", "manthos", "chocola", "fraise"]},
-    {"name": "voice_model_path", "type": "text", "label": "voice_model_path（自定义 RVC .pth/.pt）", "label_en": "voice_model_path", "default": "", "placeholder": "留空=使用打包音色"},
-    {"name": "retrieval_index_path", "type": "text", "label": "retrieval_index_path（FAISS index）", "label_en": "retrieval_index_path", "default": "", "placeholder": "可选 .index 路径"},
+    {"name": "voice_model_path", "type": "text", "label": "voice_model_path（自定义 RVC .pth/.pt）", "label_en": "voice_model_path", "default": "", "placeholder": "留空=使用打包音色", "placeholder_en": "Blank = use the packaged voice"},
+    {"name": "retrieval_index_path", "type": "text", "label": "retrieval_index_path（FAISS index）", "label_en": "retrieval_index_path", "default": "", "placeholder": "可选 .index 路径", "placeholder_en": "Optional .index path"},
     {"name": "retrieval_blend", "type": "slider", "label": "retrieval_blend", "default": 0.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
     {"name": "semitone_shift", "type": "number", "label": "semitone_shift（半音变调）", "label_en": "semitone_shift", "default": 0, "step": 1, "precision": 0},
     {"name": "pitch_filter_radius", "type": "number", "label": "pitch_filter_radius", "default": 3, "minimum": 0, "step": 1, "precision": 0},
@@ -199,53 +235,70 @@
     {"name": "split_threshold_sec", "type": "number", "label": "split_threshold_sec", "default": 32, "minimum": 1, "step": 1, "precision": 0}
   ],
 
-  "meanvc2": [
-    {"name": "seed", "type": "number", "label": "seed", "default": 42, "minimum": 0, "step": 1, "precision": 0}
-  ],
-
   "personaplex": [
     {"name": "voice_id", "type": "choice", "label": "voice_id（打包音色）", "label_en": "voice_id (packaged voice)", "default": "NATF2", "choices": ["NATF0", "NATF1", "NATF2", "NATF3", "NATM0", "NATM1", "NATM2", "NATM3", "VARF0", "VARF1", "VARF2", "VARF3", "VARF4", "VARM0", "VARM1", "VARM2", "VARM3", "VARM4"]},
     {"name": "system_prompt", "type": "text", "label": "system_prompt", "default": "", "placeholder": "Leave blank to use the text box as the system prompt."},
-    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
-    {"name": "text_temperature", "type": "slider", "label": "text_temperature", "default": 0.8, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
+    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.8, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0 while do_sample is on."},
+    {"name": "text_temperature", "type": "number", "label": "text_temperature", "label_en": "text_temperature (blank follows temperature)", "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Blank makes the text head follow temperature. Must be above 0 while do_sample is on."},
     {"name": "top_k", "type": "number", "label": "top_k", "default": 250, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "text_top_k", "type": "number", "label": "text_top_k", "default": 250, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "text_top_k", "type": "number", "label": "text_top_k", "label_en": "text_top_k (blank follows top_k)", "minimum": 0, "step": 1, "precision": 0, "info_en": "Blank makes the text head follow top_k."},
     {"name": "do_sample", "type": "bool", "label": "do_sample", "default": true}
   ],
 
   "vevo2": [
-    {"name": "route", "type": "choice", "label": "route（任务路线）", "default": "", "choices": ["", "style_preserved_vc", "style_converted_vc", "style_preserved_svc", "style_converted_svc", "singing_style_conversion", "editing"], "info": "留空=按任务默认；详见 webui/README.md"},
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 32, "minimum": 1, "step": 1, "precision": 0, "info": "流匹配步数"},
-    {"name": "use_pitch_shift", "type": "choice", "label": "use_pitch_shift（自动音高对齐）", "default": "", "choices": ["", "true", "false"], "info": "留空=按路线默认"},
-    {"name": "temperature", "type": "slider", "label": "temperature（AR 路线用）", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info": "默认取自模型 generation_config.json"},
-    {"name": "top_k", "type": "number", "label": "top_k（AR 路线用）", "default": 20, "minimum": 0, "step": 1, "precision": 0, "info": "默认取自模型 generation_config.json"},
-    {"name": "top_p", "type": "slider", "label": "top_p（AR 路线用）", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01}
+    {"name": "route", "type": "choice", "label": "route（任务路线）", "label_en": "route (task path)", "default": "", "choices": ["", "style_preserved_vc", "style_converted_vc", "style_preserved_svc", "style_converted_svc", "singing_style_conversion", "editing"], "info": "留空=按任务默认；详见 webui/README.md", "info_en": "Blank = pick the default path for the selected task; see webui/README.md."},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 32, "minimum": 1, "step": 1, "precision": 0, "info": "流匹配步数", "info_en": "Flow-matching steps."},
+    {"name": "use_pitch_shift", "type": "choice", "label": "use_pitch_shift（自动音高对齐）", "label_en": "use_pitch_shift (automatic pitch alignment)", "default": "", "choices": ["", "true", "false"], "info": "留空=按路线默认", "info_en": "Blank = use the path's own default."},
+    {"name": "temperature", "type": "number", "label": "temperature（AR 路线用）", "label_en": "temperature (AR paths)", "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info": "留空=取自模型 generation_config.json（回退 1.0）", "info_en": "Blank uses the checkpoint's generation_config.json (C++ fallback 1.0). Must be above 0."},
+    {"name": "top_k", "type": "number", "label": "top_k（AR 路线用）", "label_en": "top_k (AR paths)", "minimum": 0, "step": 1, "precision": 0, "info": "留空=取自模型 generation_config.json（回退 25）", "info_en": "Blank uses the checkpoint's generation_config.json (C++ fallback 25)."},
+    {"name": "top_p", "type": "number", "label": "top_p（AR 路线用）", "label_en": "top_p (AR paths)", "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info": "留空=取自模型 generation_config.json（回退 0.8）", "info_en": "Blank uses the checkpoint's generation_config.json (C++ fallback 0.8)."}
   ],
 
   "heartmula": [
-    {"name": "tags", "type": "text", "label": "tags（必填，逗号分隔）", "default": "", "placeholder": "pop,bright,drums,female vocals", "info": "风格/情绪/乐器/人声标签，模型必需"},
+    {"name": "tags", "type": "text", "label": "tags（必填，逗号分隔）", "label_en": "tags (required, comma-separated)", "default": "", "info": "风格/情绪/乐器/人声标签，模型必需", "info_en": "Required. Style, mood, instrument and vocal tags; HeartMuLa throws on an empty value.", "placeholder": "pop,bright,drums,female vocals"},
     {"name": "temperature", "type": "slider", "label": "temperature", "default": 1.0, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
     {"name": "top_k", "type": "number", "label": "top_k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale（MuLa CFG）", "default": 1.5, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
-    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps（codec 步数）", "default": 10, "minimum": 1, "step": 1, "precision": 0},
-    {"name": "infinite_mode", "type": "bool", "label": "infinite_mode（长输出分段生成）", "default": false},
-    {"name": "codec_guidance_scale", "type": "slider", "label": "codec_guidance_scale", "default": 1.25, "minimum": 0.0, "maximum": 5.0, "step": 0.05}
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale（MuLa CFG）", "label_en": "guidance_scale (MuLa CFG)", "default": 1.5, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps（codec 步数）", "label_en": "num_inference_steps (codec steps)", "default": 10, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "infinite_mode", "type": "bool", "label": "infinite_mode（长输出分段生成）", "label_en": "infinite_mode (chunked long-form generation)", "default": false},
+    {"name": "codec_guidance_scale", "type": "slider", "label": "codec_guidance_scale", "default": 1.25, "minimum": 0.0, "maximum": 5.0, "step": 0.05},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size (infinite mode)", "default": 4096, "minimum": 1, "step": 64, "precision": 0},
+    {"name": "infinite_chunk_audio_duration_ms", "type": "number", "label": "infinite_chunk_audio_duration_ms", "label_en": "Infinite-mode chunk audio (ms)", "default": 240000, "minimum": 1, "step": 10000, "precision": 0, "info_en": "Maximum audio generated per infinite-mode chunk. Must be positive."}
   ],
 
   "index_tts2": [
-    {"name": "lang", "type": "choice", "label": "lang（语种提示, 仅 IndexTTS2.5 模型）", "label_en": "lang (language hint, IndexTTS2.5 models only)", "default": "auto", "choices": ["auto", "zh", "en", "ja", "es", "ar"], "info": "仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择", "info_en": "Only applies to IndexTTS2.5 (multilingual) models: auto picks zh when the text contains Han characters, otherwise en; set ja/es/ar explicitly"},
-    {"name": "emotion_text", "type": "text", "label": "emotion_text（情绪参考文本）", "label_en": "emotion_text (emotion reference text)", "default": "", "placeholder": "例：你吓死我了！你是鬼吗？", "placeholder_en": "e.g. You scared me to death!", "info": "填写后自动开启情感条件（use_emotion_text）", "info_en": "Setting this enables emotion conditioning."},
+    {"name": "language", "type": "choice", "label": "language（语种提示, 仅 IndexTTS2.5 模型）", "label_en": "language (language hint, IndexTTS2.5 models only)", "default": "auto", "choices": ["auto", "zh", "en", "ja", "es", "ar"], "info": "仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择", "info_en": "Only applies to IndexTTS2.5 (multilingual) models: auto picks zh when the text contains Han characters, otherwise en; set ja/es/ar explicitly"},
+    {"name": "emotion_text", "type": "text", "label": "emotion_text（情绪参考文本）", "label_en": "emotion_text (emotion reference text)", "default": "", "info": "填写后自动开启情感条件（use_emotion_text）", "info_en": "Setting this enables emotion conditioning.", "placeholder": "例：你吓死我了！你是鬼吗？", "placeholder_en": "e.g. You scared me to death!"},
     {"name": "emotion_alpha", "type": "slider", "label": "emotion_alpha（情感强度）", "label_en": "emotion_alpha", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
     {"name": "use_emotion_text", "type": "bool", "label": "use_emotion_text（从朗读文本推断情感）", "label_en": "use_emotion_text (infer from text)", "default": false},
     {"name": "use_random_emotion", "type": "bool", "label": "use_random_emotion（随机情感）", "label_en": "use_random_emotion", "default": false},
     {"name": "interval_silence_ms", "type": "number", "label": "interval_silence_ms（分段间静音）", "label_en": "interval_silence_ms", "default": 200, "minimum": 0, "step": 50, "precision": 0},
-    {"name": "duration_factor", "type": "slider", "label": "duration_factor（语速/时长倍率，>1 更慢，<1 更快）", "label_en": "duration_factor (duration multiplier; >1 slower, <1 faster)", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05, "info": "对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容", "info_en": "Matches official IndexTTS2.5 duration_factor: scales output duration without changing timbre or content"}
+    {"name": "duration_factor", "type": "slider", "label": "duration_factor（语速/时长倍率，>1 更慢，<1 更快）", "label_en": "duration_factor (duration multiplier; >1 slower, <1 faster)", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05, "info": "对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容", "info_en": "Matches official IndexTTS2.5 duration_factor: scales output duration without changing timbre or content"},
+    {"name": "do_sample", "type": "bool", "label": "do_sample", "label_en": "Sample", "default": true},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.8, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be positive."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 0.8, "minimum": 0.01, "maximum": 1.0, "step": 0.01, "info_en": "Must be within (0, 1]."},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 30, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."},
+    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "label_en": "Repetition penalty", "default": 10.0, "minimum": 0.0, "maximum": 20.0, "step": 0.1},
+    {"name": "num_beams", "type": "number", "label": "num_beams", "label_en": "Beam count", "default": 3, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."},
+    {"name": "length_penalty", "type": "slider", "label": "length_penalty", "label_en": "Length penalty", "default": 0.0, "minimum": -2.0, "maximum": 2.0, "step": 0.1}
   ],
 
   "irodori_tts": [
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps（RF 扩散步数）", "label_en": "num_inference_steps", "default": 40, "minimum": 1, "step": 1, "precision": 0},
     {"name": "duration_sec", "type": "number", "label": "duration_sec（0=模型自动预测时长）", "label_en": "duration_sec (0 = auto)", "default": 0, "minimum": 0, "step": 0.5},
-    {"name": "duration_scale", "type": "slider", "label": "duration_scale（语速倒数，越大越慢）", "label_en": "duration_scale", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05}
+    {"name": "duration_scale", "type": "slider", "label": "duration_scale（语速倒数，越大越慢）", "label_en": "duration_scale", "default": 1.0, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
+    {"name": "text_guidance_scale", "type": "slider", "label": "text_guidance_scale", "label_en": "Text guidance", "default": 3.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
+    {"name": "speaker_guidance_scale", "type": "slider", "label": "speaker_guidance_scale", "label_en": "Speaker guidance", "default": 5.0, "minimum": 0.0, "maximum": 15.0, "step": 0.1},
+    {"name": "caption_guidance_scale", "type": "slider", "label": "caption_guidance_scale", "label_en": "Caption guidance", "default": 3.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
+    {"name": "guidance_mode", "type": "choice", "label": "guidance_mode", "label_en": "Guidance mode", "default": "independent", "choices": ["independent", "joint", "alternating"]},
+    {"name": "guidance_min_t", "type": "slider", "label": "guidance_min_t", "label_en": "Guidance start timestep", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05, "info_en": "Must not exceed the guidance end timestep."},
+    {"name": "guidance_max_t", "type": "slider", "label": "guidance_max_t", "label_en": "Guidance end timestep", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
+    {"name": "min_duration_sec", "type": "number", "label": "min_duration_sec", "label_en": "Min duration (s)", "default": 0.5, "minimum": 0.05, "step": 0.5, "info_en": "Must be positive and no greater than the maximum."},
+    {"name": "max_duration_sec", "type": "number", "label": "max_duration_sec", "label_en": "Max duration (s)", "default": 30.0, "minimum": 0.05, "step": 0.5},
+    {"name": "no_ref", "type": "bool", "label": "no_ref", "label_en": "No-reference generation", "default": true, "info_en": "Forced off automatically whenever a speaker reference is supplied."},
+    {"name": "trim_tail", "type": "bool", "label": "trim_tail", "label_en": "Trim trailing silence", "default": true},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "endline", "choices": ["japanese", "endline"]},
+    {"name": "instruction", "type": "text", "label": "instruction", "label_en": "instruction (caption-conditioned checkpoints)", "default": "", "placeholder_en": "Voice or style description; ignored by checkpoints without caption conditioning"}
   ],
 
   "moss_tts_local": [
@@ -273,9 +326,9 @@
   ],
 
   "controlfoley": [
-    {"name": "duration_sec", "type": "number", "label": "duration_sec", "default": 8.0, "minimum": 0.1, "step": 0.5},
+    {"name": "duration_sec", "type": "number", "label": "duration_sec", "default": 8.0, "minimum": 0.64, "maximum": 60.0, "step": 0.1, "info_en": "Shorter than 0.64 s produces an empty sync sequence and fails."},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 25, "minimum": 1, "step": 1, "precision": 0},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 4.5, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 4.5, "minimum": 0.1, "maximum": 10.0, "step": 0.1, "info_en": "Must be positive."},
     {"name": "negative_prompt", "type": "text", "label": "negative_prompt", "default": "", "placeholder": "optional negative prompt"},
     {"name": "mask_away_clip", "type": "bool", "label": "mask_away_clip", "default": false}
   ],
@@ -284,7 +337,7 @@
     {"name": "duration_sec", "type": "number", "label": "duration_sec", "default": 20.0, "minimum": 0.1, "step": 0.5},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
     {"name": "stop_threshold", "type": "slider", "label": "stop_threshold", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05},
-    {"name": "min_stop_step", "type": "number", "label": "min_stop_step", "default": 5, "minimum": 0, "step": 1, "precision": 0}
+    {"name": "min_stop_step", "type": "number", "label": "min_stop_step", "default": 5, "minimum": 1, "step": 1, "precision": 0, "info_en": "Must be positive."}
   ],
 
   "fireredtts3-base": [
@@ -308,7 +361,7 @@
     {"name": "template_name", "type": "choice", "label": "template_name", "default": "voice_design", "choices": ["voice_design"]},
     {"name": "language", "type": "choice", "label": "language", "default": "Chinese", "choices": ["Chinese", "English", "Cantonese", "Japanese", "Korean", "Spanish", "French", "Russian", "Arabic", "Turkish", "Indonesian", "Portuguese", "Italian", "Dutch", "Vietnamese", "German", "Ukrainian", "Thai", "Polish", "Romanian", "Greek", "Czech", "Finnish", "Hindi", "ZH_Anhui", "ZH_Fujian", "ZH_Gansu", "ZH_Guizhou", "ZH_Hebei", "ZH_Henan", "ZH_Hubei", "ZH_Hunan", "ZH_Jiangxi", "ZH_Liaoning", "ZH_Minnan", "ZH_Ningxia", "ZH_Shaanxi", "ZH_Shandong", "ZH_Shanghai", "ZH_Shanxi", "ZH_Tianjin", "ZH_Wenzhou", "ZH_Wu", "ZH_Yunnan"]},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
-    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 1.2, "minimum": 0.0, "maximum": 10.0, "step": 0.1, "info_en": "FireRedTTS3 voice design is tuned for 1.2; 2.0 is the instruct_tts value."},
     {"name": "stop_threshold", "type": "slider", "label": "stop_threshold", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.05}
   ],
 
@@ -318,9 +371,7 @@
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
     {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0},
-    {"name": "top_k", "type": "number", "label": "top_k", "default": 20, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "top_p", "type": "slider", "label": "top_p", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
-    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05}
+    {"name": "min_new_audio_steps", "type": "number", "label": "min_new_audio_steps", "label_en": "Min audio steps", "default": 6, "minimum": 0, "step": 1, "precision": 0, "info_en": "Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."}
   ],
 
   "firered-audio-vdesign": [
@@ -328,16 +379,18 @@
     {"name": "language", "type": "choice", "label": "language", "default": "zh", "choices": ["zh", "en"]},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
-    {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0}
+    {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "min_new_audio_steps", "type": "number", "label": "min_new_audio_steps", "label_en": "Min audio steps", "default": 6, "minimum": 0, "step": 1, "precision": 0, "info_en": "Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."}
   ],
 
   "firered-audio-semantic-edit": [
     {"name": "template_name", "type": "choice", "label": "template_name", "default": "semantic_edit", "choices": ["semantic_edit"]},
     {"name": "language", "type": "choice", "label": "language", "default": "zh", "choices": ["zh", "en"]},
-    {"name": "instruction", "type": "text", "label": "instruction", "default": "", "placeholder": "delete '比普通的茶叶要'"},
+    {"name": "instruction", "type": "text", "label": "instruction", "default": "", "placeholder": "delete '比普通的茶叶要'", "placeholder_en": "delete 'the phrase to remove'"},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
     {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "min_new_audio_steps", "type": "number", "label": "min_new_audio_steps", "label_en": "Min audio steps", "default": 6, "minimum": 0, "step": 1, "precision": 0, "info_en": "Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."},
     {"name": "max_new_text_tokens", "type": "number", "label": "max_new_text_tokens", "default": 512, "minimum": 1, "step": 1, "precision": 0}
   ],
 
@@ -347,22 +400,207 @@
     {"name": "instruction", "type": "text", "label": "instruction", "default": "shift the pitch by 3 steps", "placeholder": "shift the pitch by 3 steps"},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
     {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "default": 2.0, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
-    {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0}
+    {"name": "max_new_audio_steps", "type": "number", "label": "max_new_audio_steps", "default": 750, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "min_new_audio_steps", "type": "number", "label": "min_new_audio_steps", "label_en": "Min audio steps", "default": 6, "minimum": 0, "step": 1, "precision": 0, "info_en": "Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."}
   ],
 
   "firered-audio-asr": [
     {"name": "template_name", "type": "choice", "label": "template_name", "default": "asr", "choices": ["asr", "understand"]},
     {"name": "language", "type": "choice", "label": "language", "default": "zh", "choices": ["zh", "en"]},
-    {"name": "enable_thinking", "type": "bool", "label": "enable_thinking", "default": false},
-    {"name": "max_new_tokens", "type": "number", "label": "max_new_tokens", "default": 512, "minimum": 1, "step": 1, "precision": 0},
-    {"name": "top_k", "type": "number", "label": "top_k", "default": 20, "minimum": 0, "step": 1, "precision": 0},
-    {"name": "top_p", "type": "slider", "label": "top_p", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
-    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05}
+    {"name": "enable_thinking", "type": "bool", "label": "enable_thinking", "default": false, "info_en": "Rejected by the asr template; use template_name=understand."},
+    {"name": "max_new_tokens", "type": "number", "label": "max_new_tokens", "label_en": "max_new_tokens", "minimum": 1, "step": 1, "precision": 0, "info_en": "Blank uses 300, or 1024 when enable_thinking is on. Setting a value here defeats the automatic thinking-mode bump."},
+    {"name": "top_k", "type": "number", "label": "top_k", "default": 20, "minimum": 0, "step": 1, "precision": 0, "info_en": "Sampling options apply to template_name=understand only; asr decodes greedily."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info_en": "Sampling options apply to template_name=understand only; asr decodes greedily."},
+    {"name": "temperature", "type": "slider", "label": "temperature", "default": 0.7, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info_en": "Sampling options apply to template_name=understand only; asr decodes greedily."}
   ],
 
   "supertonic": [
     {"name": "voice", "type": "choice", "label": "voice（预置音色：M 男声 / F 女声）", "label_en": "voice (M = male, F = female presets)", "default": "M1", "choices": ["M1", "M2", "M3", "M4", "M5", "F1", "F2", "F3", "F4", "F5"]},
     {"name": "speaking_rate", "type": "slider", "label": "speaking_rate（语速倍率）", "label_en": "speaking_rate", "default": 1.05, "minimum": 0.5, "maximum": 2.0, "step": 0.05},
     {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps（流匹配步数）", "label_en": "num_inference_steps", "default": 8, "minimum": 1, "step": 1, "precision": 0}
+  ],
+
+  "dots_tts": [
+    {"name": "template_name", "type": "choice", "label": "template_name", "label_en": "Template", "default": "tts", "choices": ["tts", "instruction_tts", "text_to_audio", "tts_interleave", "edit"], "info_en": "Generation template. instruction_tts and edit need an instruction; edit also needs source audio plus source_text and target_text."},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "label_en": "Sampling steps", "default": 10, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "label_en": "Guidance scale", "default": 1.2, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
+    {"name": "speaker_scale", "type": "slider", "label": "speaker_scale", "label_en": "Speaker scale", "default": 1.5, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info_en": "Classifier-free guidance weight on the speaker reference."},
+    {"name": "sampler_mode", "type": "choice", "label": "sampler_mode", "label_en": "ODE sampler", "default": "euler", "choices": ["euler", "midpoint", "rk4"]},
+    {"name": "vocoder_merge_steps", "type": "number", "label": "vocoder_merge_steps", "label_en": "Vocoder merge steps", "default": 4, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "use_xvector", "type": "choice", "label": "use_xvector", "label_en": "Speaker x-vector", "default": "auto", "choices": ["auto", "on", "off"]},
+    {"name": "reference_duration_sec", "type": "number", "label": "reference_duration_sec", "label_en": "Reference trim (s)", "minimum": 0.0, "step": 0.5, "info_en": "Blank uses the whole reference clip."},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size", "default": 320, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "tag_aware", "choices": ["default", "tag_aware", "japanese", "endline"]},
+    {"name": "instruction", "type": "text", "label": "instruction", "label_en": "instruction (instruction_tts / edit)", "default": "", "placeholder_en": "Style or edit instruction"},
+    {"name": "source_text", "type": "text", "label": "source_text", "label_en": "source_text (edit template)", "default": "", "placeholder_en": "Transcript of the source audio"},
+    {"name": "target_text", "type": "text", "label": "target_text", "label_en": "target_text (edit template)", "default": "", "placeholder_en": "Transcript the edit should produce"}
+  ],
+
+  "outetts": [
+    {"name": "temperature", "type": "number", "label": "temperature", "label_en": "Temperature", "minimum": 0.0, "step": 0.05, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 0.4)."},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "minimum": 0, "step": 1, "precision": 0, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 40)."},
+    {"name": "top_p", "type": "number", "label": "top_p", "label_en": "Top-p", "minimum": 0.01, "maximum": 1.0, "step": 0.01, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 0.9). Must be above 0."},
+    {"name": "min_p", "type": "number", "label": "min_p", "label_en": "Min-p", "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 0.05)."},
+    {"name": "repetition_penalty", "type": "number", "label": "repetition_penalty", "label_en": "Repetition penalty", "minimum": 0.01, "step": 0.01, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 1.1). Must be above 0."},
+    {"name": "repetition_window", "type": "number", "label": "repetition_window", "label_en": "Repetition window", "default": 64, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "reference_language", "type": "text", "label": "reference_language", "label_en": "Reference language", "default": "", "placeholder_en": "Blank follows the request language, else en"},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size", "default": 256, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "default", "choices": ["default", "tag_aware", "japanese", "endline"]}
+  ],
+
+  "glm_tts": [
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 25, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 0.8, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "num_inference_steps", "type": "number", "label": "num_inference_steps", "label_en": "Flow steps", "minimum": 1, "step": 1, "precision": 0, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 10)."},
+    {"name": "flow_guidance_scale", "type": "number", "label": "flow_guidance_scale", "label_en": "Flow guidance scale", "minimum": 0.0, "step": 0.05, "info_en": "Blank uses the packaged checkpoint's value (C++ fallback 0.7)."}
+  ],
+
+  "fish_audio": [
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.8, "minimum": 0.05, "maximum": 1.95, "step": 0.05, "info_en": "Must stay strictly between 0 and 2."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 0.8, "minimum": 0.01, "maximum": 1.0, "step": 0.01},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 30, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size", "default": 200, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "default", "choices": ["default", "tag_aware", "japanese", "endline"]}
+  ],
+
+  "higgs_audio_tts": [
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.8, "minimum": 0.05, "maximum": 2.0, "step": 0.05},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 0.8, "minimum": 0.01, "maximum": 1.0, "step": 0.01},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 30, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size", "default": 1024, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "default", "choices": ["default", "tag_aware", "japanese", "endline"]}
+  ],
+
+  "vietneu_tts": [
+    {"name": "do_sample", "type": "bool", "label": "do_sample", "label_en": "Sample", "default": true},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.9, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "label_en": "Repetition penalty", "default": 1.05, "minimum": 1.0, "maximum": 2.0, "step": 0.01},
+    {"name": "subtalker_do_sample", "type": "bool", "label": "subtalker_do_sample", "label_en": "Sub-talker: sample", "default": true},
+    {"name": "subtalker_temperature", "type": "slider", "label": "subtalker_temperature", "label_en": "Sub-talker: temperature", "default": 0.9, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
+    {"name": "subtalker_top_k", "type": "number", "label": "subtalker_top_k", "label_en": "Sub-talker: top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "subtalker_top_p", "type": "slider", "label": "subtalker_top_p", "label_en": "Sub-talker: top-p", "default": 1.0, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "x_vector_only_mode", "type": "bool", "label": "x_vector_only_mode", "label_en": "Speaker-embedding-only mode", "default": false, "info_en": "Condition on the speaker embedding alone instead of in-context reference audio."},
+    {"name": "text_chunk_size", "type": "number", "label": "text_chunk_size", "label_en": "Text chunk size", "default": 200, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "text_chunk_mode", "type": "choice", "label": "text_chunk_mode", "label_en": "Text chunk mode", "default": "default", "choices": ["default", "tag_aware", "japanese", "endline"]}
+  ],
+
+  "soprano_tts": [
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.3, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 0.95, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "label_en": "Repetition penalty", "default": 1.2, "minimum": 1.0, "maximum": 2.0, "step": 0.01},
+    {"name": "eos_bias", "type": "slider", "label": "eos_bias", "label_en": "End-of-speech bias", "default": 0.0, "minimum": -5.0, "maximum": 5.0, "step": 0.1, "info_en": "Positive values stop generation sooner."}
+  ],
+
+  "muscriptor": [
+    {"name": "output_format", "type": "choice", "label": "output_format", "label_en": "Output format", "default": "midi", "choices": ["midi", "json"]},
+    {"name": "instruments", "type": "text", "label": "instruments", "label_en": "Instruments", "default": "", "placeholder_en": "Comma-separated instrument names; blank transcribes all"},
+    {"name": "do_sample", "type": "bool", "label": "do_sample", "label_en": "Sample", "default": false},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 1.0, "minimum": 0.0, "maximum": 2.0, "step": 0.05},
+    {"name": "guidance_scale", "type": "slider", "label": "guidance_scale", "label_en": "Guidance scale", "default": 1.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1, "info_en": "Exactly 1.0 disables classifier-free guidance; other values double the conditioning batch."},
+    {"name": "num_beams", "type": "number", "label": "num_beams", "label_en": "Beam count", "default": 1, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "batch_size", "type": "number", "label": "batch_size", "label_en": "Batch size", "default": 1, "minimum": 1, "step": 1, "precision": 0, "info_en": "Values above 1 require prelude_forcing to be off."},
+    {"name": "prelude_forcing", "type": "bool", "label": "prelude_forcing", "label_en": "Prelude forcing", "default": true}
+  ],
+
+  "hviske_asr": [
+    {"name": "punctuation", "type": "bool", "label": "punctuation", "label_en": "Punctuation", "default": true},
+    {"name": "num_beams", "type": "number", "label": "num_beams", "label_en": "Beam count", "default": 1, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "length_penalty", "type": "slider", "label": "length_penalty", "label_en": "Length penalty", "default": 1.0, "minimum": 0.05, "maximum": 3.0, "step": 0.05, "info_en": "Must be above 0."},
+    {"name": "do_sample", "type": "bool", "label": "do_sample", "label_en": "Sample", "default": false},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0."},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0, "info_en": "0 disables top-k filtering."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 1.0, "minimum": 0.01, "maximum": 1.0, "step": 0.01},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "quiet_energy", "none"]},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "minimum": 0.001, "step": 1.0, "info_en": "Blank uses the packaged model's max_audio_clip_s."}
+  ],
+
+  "kroko_asr": [
+    {"name": "decoding_method", "type": "choice", "label": "decoding_method", "label_en": "Decoding method", "default": "greedy_search", "choices": ["greedy_search", "modified_beam_search"]},
+    {"name": "num_beams", "type": "number", "label": "num_beams", "label_en": "Beam count", "default": 4, "minimum": 1, "maximum": 64, "step": 1, "precision": 0, "info_en": "Only used by modified_beam_search."},
+    {"name": "blank_penalty", "type": "slider", "label": "blank_penalty", "label_en": "Blank penalty", "default": 0.0, "minimum": 0.0, "maximum": 5.0, "step": 0.1},
+    {"name": "hotwords", "type": "text", "label": "hotwords", "label_en": "Hotwords", "default": "", "placeholder_en": "Phrases separated by / or newline; needs modified_beam_search"},
+    {"name": "hotwords_score", "type": "slider", "label": "hotwords_score", "label_en": "Hotword boost", "default": 1.5, "minimum": 0.0, "maximum": 10.0, "step": 0.1},
+    {"name": "enable_endpoint", "type": "bool", "label": "enable_endpoint", "label_en": "Endpoint detection", "default": false},
+    {"name": "rule1_min_trailing_silence_sec", "type": "number", "label": "rule1_min_trailing_silence_sec", "label_en": "Endpoint rule 1: trailing silence (s)", "default": 2.4, "minimum": 0.0, "step": 0.1},
+    {"name": "rule2_min_trailing_silence_sec", "type": "number", "label": "rule2_min_trailing_silence_sec", "label_en": "Endpoint rule 2: trailing silence (s)", "default": 1.2, "minimum": 0.0, "step": 0.1},
+    {"name": "rule3_min_utterance_length_sec", "type": "number", "label": "rule3_min_utterance_length_sec", "label_en": "Endpoint rule 3: utterance length (s)", "default": 20.0, "minimum": 0.0, "step": 1.0}
+  ],
+
+  "qwen3_asr": [
+    {"name": "return_timestamps", "type": "bool", "label": "return_timestamps", "label_en": "Return timestamps", "default": false, "info_en": "Also shortens the automatic chunk length from 30 s to 15 s."},
+    {"name": "clamp_timestamps_to_audio", "type": "bool", "label": "clamp_timestamps_to_audio", "label_en": "Clamp timestamps to audio length", "default": false},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "vad", "none"]},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "minimum": 0.001, "step": 1.0, "info_en": "Blank uses 30 s, or 15 s when timestamps or VAD chunking are on."}
+  ],
+
+  "nemotron_asr": [
+    {"name": "keep_language_tags", "type": "bool", "label": "keep_language_tags", "label_en": "Keep language tags", "default": false}
+  ],
+
+  "vibevoice_asr": [
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 0.0, "minimum": 0.0, "maximum": 2.0, "step": 0.05, "info_en": "0 decodes deterministically."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 1.0, "minimum": 0.01, "maximum": 1.0, "step": 0.01},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "repetition_penalty", "type": "slider", "label": "repetition_penalty", "label_en": "Repetition penalty", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.01, "info_en": "Must be above 0."},
+    {"name": "num_beams", "type": "number", "label": "num_beams", "label_en": "Beam count", "default": 1, "minimum": 1, "step": 1, "precision": 0},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "vad", "none"]},
+    {"name": "audio_chunk_seconds", "type": "number", "label": "audio_chunk_seconds", "label_en": "Audio chunk length (s)", "default": 1200.0, "minimum": 0.001, "step": 10.0}
+  ],
+
+  "voxtral_realtime": [
+    {"name": "do_sample", "type": "bool", "label": "do_sample", "label_en": "Sample", "default": false},
+    {"name": "temperature", "type": "slider", "label": "temperature", "label_en": "Temperature", "default": 1.0, "minimum": 0.05, "maximum": 2.0, "step": 0.05, "info_en": "Must be above 0."},
+    {"name": "top_p", "type": "slider", "label": "top_p", "label_en": "Top-p", "default": 1.0, "minimum": 0.01, "maximum": 1.0, "step": 0.01},
+    {"name": "top_k", "type": "number", "label": "top_k", "label_en": "Top-k", "default": 50, "minimum": 0, "step": 1, "precision": 0},
+    {"name": "max_new_tokens", "type": "number", "label": "max_new_tokens", "label_en": "Max new tokens", "minimum": 1, "step": 1, "precision": 0, "info_en": "Blank lets the model use the remaining audio-token budget. Voxtral-Realtime reads max_new_tokens, not max_tokens."}
+  ],
+
+  "higgs_audio_stt": [
+    {"name": "enable_thinking", "type": "bool", "label": "enable_thinking", "label_en": "Thinking mode", "default": true},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "none"]},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "default": 4.0, "minimum": 0.001, "step": 1.0}
+  ],
+
+  "fun_asr_nano": [
+    {"name": "enable_itn", "type": "bool", "label": "enable_itn", "label_en": "Inverse text normalization", "default": true},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "none"]},
+    {"name": "audio_chunk_seconds", "type": "number", "label": "audio_chunk_seconds", "label_en": "Audio chunk length (s)", "default": 30.0, "minimum": 0.001, "step": 1.0, "info_en": "Fun-ASR-Nano accepts only audio_chunk_seconds; the canonical audio_chunk_duration_sec is rejected."}
+  ],
+
+  "parakeet_tdt": [
+    {"name": "keep_language_tags", "type": "bool", "label": "keep_language_tags", "label_en": "Keep language tags", "default": false},
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "vad", "none"]},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "minimum": 0.001, "step": 0.5, "info_en": "Blank uses the session's centre-window length (2.0 s by default)."}
+  ],
+
+  "granite5asr": [
+    {"name": "audio_chunk_mode", "type": "choice", "label": "audio_chunk_mode", "label_en": "Audio chunk mode", "default": "auto", "choices": ["auto", "fixed", "vad", "none"]},
+    {"name": "audio_chunk_duration_sec", "type": "number", "label": "audio_chunk_duration_sec", "label_en": "Audio chunk length (s)", "default": 30.0, "minimum": 0.001, "step": 1.0}
+  ],
+
+  "silero_vad": [
+    {"name": "threshold", "type": "slider", "label": "threshold", "label_en": "Speech probability threshold", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.01, "info_en": "These options apply to offline runs. Streaming VAD uses the session configuration and ignores per-request values."},
+    {"name": "min_speech_duration_ms", "type": "number", "label": "min_speech_duration_ms", "label_en": "Min speech duration (ms)", "default": 250, "minimum": 0, "step": 10, "precision": 0},
+    {"name": "min_silence_duration_ms", "type": "number", "label": "min_silence_duration_ms", "label_en": "Min silence duration (ms)", "default": 100, "minimum": 0, "step": 10, "precision": 0},
+    {"name": "speech_pad_ms", "type": "number", "label": "speech_pad_ms", "label_en": "Speech padding (ms)", "default": 30, "minimum": 0, "step": 10, "precision": 0},
+    {"name": "min_silence_at_max_speech_ms", "type": "number", "label": "min_silence_at_max_speech_ms", "label_en": "Min silence at max speech (ms)", "default": 98, "minimum": 0, "step": 10, "precision": 0},
+    {"name": "use_max_poss_sil_at_max_speech", "type": "bool", "label": "use_max_poss_sil_at_max_speech", "label_en": "Split at the longest silence when max speech is reached", "default": true}
+  ],
+
+  "marblenet_vad": [
+    {"name": "threshold", "type": "slider", "label": "threshold", "label_en": "Speech probability threshold", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.01}
+  ],
+
+  "sortformer_diar": [
+    {"name": "speaker_threshold", "type": "slider", "label": "speaker_threshold", "label_en": "Speaker probability threshold", "default": 0.5, "minimum": 0.0, "maximum": 1.0, "step": 0.01},
+    {"name": "speaker_min_frames", "type": "number", "label": "speaker_min_frames", "label_en": "Min speaker frames", "default": 0, "minimum": 0, "step": 1, "precision": 0, "info_en": "0 disables the minimum-length filter."},
+    {"name": "speaker_pad_frames", "type": "number", "label": "speaker_pad_frames", "label_en": "Speaker pad frames", "default": 0, "minimum": 0, "step": 1, "precision": 0}
+  ],
+
+  "qwen3_forced_aligner": [
+    {"name": "clamp_timestamps_to_audio", "type": "bool", "label": "clamp_timestamps_to_audio", "label_en": "Clamp timestamps to audio length", "default": false}
   ]
 }
diff --git a/webui/configs/models_catalog.json b/webui/configs/models_catalog.json
index 924c2fd99..27dccaf58 100644
--- a/webui/configs/models_catalog.json
+++ b/webui/configs/models_catalog.json
@@ -3,34 +3,42 @@
   "port": 8088,
   "device": 0,
   "threads": 1,
-  "_comment": "Native WebUI catalog for model families enabled in registry.cpp. The embedded server loads one selected model or precision at a time and resolves paths relative to the configured models root. Missing packages appear as not installed; the Models page invokes the repository-level model_manager_v2.py through the server to install spec-backed GGUF packages in the background. 'task' must be one of: tts, asr, vad, diar, sep, gen, clon, vc, s2s, align, vdes, spk, svc. 'download_id' is a model_specs package id and is omitted for bundled assets such as silero_vad. Optional per-entry keys include input_hint, default_options, session_options, and min_vram_gb. min_vram_gb is an estimated minimum CUDA VRAM value used only for UI guidance.",
+  "_comment": "Native WebUI catalog for model families enabled in registry.cpp. The embedded server loads one selected model or precision at a time and resolves paths relative to the configured models root. Missing packages appear as not installed; the Models page invokes the repository-level model_manager_v2.py through the server to install spec-backed GGUF packages in the background. 'task' must be one of: tts, asr, vad, diar, sep, gen, clon, vc, s2s, align, vdes, spk, svc, midi. 'download_id' must be the exact model_specs packages[].id this entry installs and loads -- not a family name or a legacy alias -- and 'path' must be that package's install location (models/<target_directory>/<installed file>). Both are omitted for bundled assets such as silero_vad and marblenet_vad. Optional per-entry keys include input_hint, default_options, session_options, and min_vram_gb. min_vram_gb is an estimated minimum CUDA VRAM value used only for UI guidance.",
 
   "models": [
-    { "id": "omnivoice",              "display_name": "OmniVoice (tts)",                       "family": "omnivoice",            "path": "models/OmniVoice",                       "task": "tts",   "mode": "offline", "download_id": "omnivoice",               "min_vram_gb": 10 },
-    { "id": "pocket-tts",             "display_name": "Pocket TTS (tts)",                      "family": "pocket_tts",           "path": "models/pocket-tts",                      "task": "tts",   "mode": "offline", "download_id": "pocket_tts",              "min_vram_gb": 2 },
-    { "id": "dots-tts-soar",          "display_name": "DotTTS SOAR (tts + clone)",             "family": "dots_tts",             "path": "models/DotTTS-SOAR-GGUF",               "task": "tts",   "mode": "offline", "download_id": "dots_tts_soar_q8_0",      "min_vram_gb": 8 },
-    { "id": "dots-tts-meanflow",      "display_name": "DotTTS MeanFlow (tts + clone)",         "family": "dots_tts",             "path": "models/DotTTS-MF-GGUF",                 "task": "tts",   "mode": "offline", "download_id": "dots_tts_mf_q8_0",        "min_vram_gb": 8 },
-    { "id": "neutts-2e",              "display_name": "NeuTTS 2E (tts, preset voices)",        "family": "neutts",               "path": "models/NeuTTS-2E-GGUF",                 "task": "tts",   "mode": "offline", "download_id": "neutts_2e_orig",           "min_vram_gb": 4 },
-    { "id": "qwen3-tts",              "display_name": "Qwen3-TTS 0.6B (tts)",                  "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-0.6B-Base",        "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_0_6b_base",     "min_vram_gb": 5 },
-    { "id": "qwen3-tts-1.7b",         "display_name": "Qwen3-TTS 1.7B Base (tts)",             "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-Base",        "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_1_7b_base",     "min_vram_gb": 8 },
-    { "id": "qwen3-tts-1.7b-custom",  "display_name": "Qwen3-TTS 1.7B CustomVoice (tts)",      "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-CustomVoice", "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_1_7b_custom_voice", "min_vram_gb": 8 },
-    { "id": "miotts",                 "display_name": "MioTTS 1.7B (tts; needs MioCodec)",     "family": "miotts",               "path": "models/MioTTS-1.7B",                     "task": "tts",   "mode": "offline", "download_id": "miotts_1_7b",             "min_vram_gb": 8 },
-    { "id": "soprano-tts",            "display_name": "Soprano TTS (tts)",                     "family": "soprano_tts",          "path": "models/Soprano-1.1-80M-GGUF",               "task": "tts",   "mode": "offline", "download_id": "soprano_1_1_80m_q8_0",      "min_vram_gb": 1 },
-    { "id": "voxcpm2",                "display_name": "VoxCPM2 (tts)",                         "family": "voxcpm2",              "path": "models/VoxCPM2",                         "task": "tts",   "mode": "offline", "download_id": "voxcpm2",                 "session_options": { "voxcpm2.weight_type": "q8_0" }, "min_vram_gb": 6 },
-    { "id": "voxcpm1",                "display_name": "VoxCPM1 0.5B (tts + clone)",             "family": "voxcpm1",              "path": "models/VoxCPM1-GGUF",                   "task": "tts",   "mode": "offline", "download_id": "voxcpm1_0.5b_q8_0",    "min_vram_gb": 4 },
-    { "id": "vibevoice",              "display_name": "VibeVoice 1.5B/7B (tts, long-form/multi-speaker)", "family": "vibevoice", "path": "models/VibeVoice-1.5B",                  "task": "tts",   "mode": "offline", "download_id": "vibevoice_1_5b",          "min_vram_gb": 7 },
-    { "id": "vibevoice-7b",           "display_name": "VibeVoice 7B (tts, long-form/multi-speaker)",   "family": "vibevoice",    "path": "models/VibeVoice-7B-GGUF",               "task": "tts",   "mode": "offline", "download_id": "vibevoice_7b_q8_0",      "min_vram_gb": 16 },
-    { "id": "index-tts2",             "display_name": "IndexTTS2 (tts 中英克隆+情感)",            "display_name_en": "IndexTTS2 (tts, zh/en clone + emotion)", "family": "index_tts2", "path": "models/IndexTTS-2",        "task": "tts",   "mode": "offline", "download_id": "index_tts2",              "min_vram_gb": 8 },
-    { "id": "index-tts2.5",           "display_name": "IndexTTS2.5 (tts 多语种克隆+情感, GGUF Q8)", "display_name_en": "IndexTTS2.5 (tts, zh/en/ja/es/ar clone + emotion, GGUF Q8)", "family": "index_tts2", "path": "models/IndexTTS2.5-GGUF", "task": "tts", "mode": "offline", "download_id": "index_tts2_5_q8_0", "min_vram_gb": 8,
+    { "id": "omnivoice",              "display_name": "OmniVoice (tts)",                       "family": "omnivoice",            "path": "models/OmniVoice-GGUF/omnivoice-q8_0.gguf",                                             "task": "tts",   "mode": "offline", "download_id": "omnivoice_q8_0",                  "min_vram_gb": 10 },
+    { "id": "pocket-tts",             "display_name": "Pocket TTS (tts)",                      "family": "pocket_tts",           "path": "models/PocketTTS-GGUF/english/pocket-tts-english-q8_0.gguf",                            "task": "tts",   "mode": "offline", "download_id": "pocket_tts_english_q8_0",         "min_vram_gb": 2 },
+    { "id": "pocket-tts-german",      "display_name": "Pocket TTS German (voice clone)",       "family": "pocket_tts",           "path": "models/PocketTTS-GGUF/german/pocket-tts-german-q8_0.gguf",                              "task": "clon",  "mode": "offline", "download_id": "pocket_tts_german_q8_0",          "min_vram_gb": 2,
+      "input_hint_en": "**Pocket TTS German**: German offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required." },
+    { "id": "pocket-tts-italian",     "display_name": "Pocket TTS Italian (voice clone)",      "family": "pocket_tts",           "path": "models/PocketTTS-GGUF/italian/pocket-tts-italian-q8_0.gguf",                            "task": "clon",  "mode": "offline", "download_id": "pocket_tts_italian_q8_0",         "min_vram_gb": 2,
+      "input_hint_en": "**Pocket TTS Italian**: Italian offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required." },
+    { "id": "pocket-tts-portuguese",  "display_name": "Pocket TTS Portuguese (voice clone)",   "family": "pocket_tts",           "path": "models/PocketTTS-GGUF/portuguese/pocket-tts-portuguese-q8_0.gguf",                      "task": "clon",  "mode": "offline", "download_id": "pocket_tts_portuguese_q8_0",      "min_vram_gb": 2,
+      "input_hint_en": "**Pocket TTS Portuguese**: Portuguese offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required." },
+    { "id": "pocket-tts-spanish",     "display_name": "Pocket TTS Spanish (voice clone)",      "family": "pocket_tts",           "path": "models/PocketTTS-GGUF/spanish/pocket-tts-spanish-q8_0.gguf",                            "task": "clon",  "mode": "offline", "download_id": "pocket_tts_spanish_q8_0",         "min_vram_gb": 2,
+      "input_hint_en": "**Pocket TTS Spanish**: Spanish offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required." },
+    { "id": "dots-tts-soar",          "display_name": "DotTTS SOAR (tts + clone)",             "family": "dots_tts",             "path": "models/DotTTS-SOAR-GGUF/dots-tts-soar-q8_0.gguf",                                       "task": "tts",   "mode": "offline", "download_id": "dots_tts_soar_q8_0",              "min_vram_gb": 8 },
+    { "id": "dots-tts-meanflow",      "display_name": "DotTTS MeanFlow (tts + clone)",         "family": "dots_tts",             "path": "models/DotTTS-MF-GGUF/dots-tts-mf-q8_0.gguf",                                           "task": "tts",   "mode": "offline", "download_id": "dots_tts_mf_q8_0",                "min_vram_gb": 8 },
+    { "id": "neutts-2e",              "display_name": "NeuTTS 2E (tts, preset voices)",        "family": "neutts",               "path": "models/NeuTTS-2E-GGUF/neutts-2e-orig.gguf",                                             "task": "tts",   "mode": "offline", "download_id": "neutts_2e_orig",                  "min_vram_gb": 4 },
+    { "id": "qwen3-tts",              "display_name": "Qwen3-TTS 0.6B (tts)",                  "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-q8_0.gguf",               "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_0_6b_base_q8_0",        "min_vram_gb": 5 },
+    { "id": "qwen3-tts-1.7b",         "display_name": "Qwen3-TTS 1.7B Base (tts)",             "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-q8_0_v2.gguf",            "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_1_7b_base_q8_0",        "min_vram_gb": 8 },
+    { "id": "qwen3-tts-1.7b-custom",  "display_name": "Qwen3-TTS 1.7B CustomVoice (tts)",      "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf", "task": "tts",   "mode": "offline", "download_id": "qwen3_tts_1_7b_customvoice_q8_0", "min_vram_gb": 8 },
+    { "id": "miotts",                 "display_name": "MioTTS 1.7B (tts; needs MioCodec)",     "family": "miotts",               "path": "models/MioTTS-1.7B-GGUF/miotts-1.7b-q8_0.gguf",                                         "task": "clon",   "mode": "offline", "download_id": "miotts_1_7b_q8_0",               "min_vram_gb": 8 },
+    { "id": "soprano-tts",            "display_name": "Soprano TTS (tts)",                     "family": "soprano_tts",          "path": "models/Soprano-1.1-80M-GGUF/soprano-1.1-80m-q8_0.gguf",                                 "task": "tts",   "mode": "offline", "download_id": "soprano_1_1_80m_q8_0",            "min_vram_gb": 1 },
+    { "id": "voxcpm2",                "display_name": "VoxCPM2 (tts)",                         "family": "voxcpm2",              "path": "models/VoxCPM2-GGUF/voxcpm2-q8_0.gguf",                                                 "task": "tts",   "mode": "offline", "download_id": "voxcpm2_q8_0",                    "session_options": { "voxcpm2.weight_type": "q8_0" }, "min_vram_gb": 6 },
+    { "id": "voxcpm1",                "display_name": "VoxCPM1 0.5B (tts + clone)",             "family": "voxcpm1",              "path": "models/VoxCPM1-GGUF/voxcpm-0.5b-q8_0-audiovae-f16.gguf",                               "task": "tts",   "mode": "offline", "download_id": "voxcpm1_0.5b_q8_0",               "min_vram_gb": 4 },
+    { "id": "vibevoice",              "display_name": "VibeVoice 1.5B/7B (tts, long-form/multi-speaker)", "family": "vibevoice", "path": "models/VibeVoice-1.5B-GGUF/vibevoice-1.5b-q8_0.gguf",                                   "task": "tts",   "mode": "offline", "download_id": "vibevoice_1_5b_q8_0",             "min_vram_gb": 7 },
+    { "id": "vibevoice-7b",           "display_name": "VibeVoice 7B (tts, long-form/multi-speaker)",   "family": "vibevoice",    "path": "models/VibeVoice-7B-GGUF/vibevoice-7b-q8_0.gguf",                                       "task": "tts",   "mode": "offline", "download_id": "vibevoice_7b_q8_0",               "min_vram_gb": 16 },
+    { "id": "index-tts2",             "display_name": "IndexTTS2 (tts 中英克隆+情感)",            "display_name_en": "IndexTTS2 (tts, zh/en clone + emotion)", "family": "index_tts2", "path": "models/IndexTTS2-GGUF/index-tts2-q8_0.gguf", "task": "clon",   "mode": "offline", "download_id": "index_tts2_q8_0",           "min_vram_gb": 8 },
+    { "id": "index-tts2.5",           "display_name": "IndexTTS2.5 (tts 多语种克隆+情感, GGUF Q8)", "display_name_en": "IndexTTS2.5 (tts, zh/en/ja/es/ar clone + emotion, GGUF Q8)", "family": "index_tts2", "path": "models/IndexTTS2.5-GGUF/index-tts2_5-q8_0.gguf", "task": "clon", "mode": "offline", "download_id": "index_tts2_5_q8_0", "min_vram_gb": 8,
       "input_hint": "**IndexTTS2.5**：中/英/日/西/阿零样本克隆；上传参考音色即克隆；可在『其它参数(JSON)』里传 `lang`（默认 auto：含汉字按中文，否则按英文）与情感选项。许可证为 bilibili Model Use License（非 OSI），商用前请确认条款。",
       "input_hint_en": "**IndexTTS2.5**: zero-shot cloning in zh/en/ja/es/ar. Upload a reference voice to clone; pass `lang` (default auto: zh when the text contains Han characters, otherwise en) and emotion options through the JSON box. Weights are under the bilibili Model Use License (not OSI-approved) — check terms before commercial use." },
-    { "id": "irodori-tts",            "display_name": "Irodori-TTS v4 Small (tts 日语, GGUF Q8)", "display_name_en": "Irodori-TTS v4 Small (ja tts, GGUF Q8)", "family": "irodori_tts", "path": "models/Irodori-TTS-v4-Small-GGUF", "task": "tts",  "mode": "offline", "download_id": "irodori_tts_v4_small_q8_0", "min_vram_gb": 4,
+    { "id": "irodori-tts",            "display_name": "Irodori-TTS v4 Small (tts 日语, GGUF Q8)", "display_name_en": "Irodori-TTS v4 Small (ja tts, GGUF Q8)", "family": "irodori_tts", "path": "models/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf", "task": "tts",  "mode": "offline", "download_id": "irodori_tts_v4_small_q8_0", "min_vram_gb": 4,
       "input_hint": "**Irodori-TTS v4 Small**：日语 TTS；可不上传参考音色直接生成，也可上传参考音色进行克隆；可在声音设计页用日语 caption 描述音色。",
       "input_hint_en": "**Irodori-TTS v4 Small**: Japanese TTS. Generate without a reference voice, clone from an uploaded reference, or use the voice-design page with a Japanese voice caption." },
-    { "id": "irodori-tts-v3-500m",    "display_name": "Irodori-TTS 500M v3 (tts 日语)",         "display_name_en": "Irodori-TTS 500M v3 (ja tts)",          "family": "irodori_tts", "path": "models/Irodori-TTS-500M-v3-GGUF", "task": "tts",  "mode": "offline", "download_id": "irodori_tts_500m_v3_q8_0", "min_vram_gb": 4 },
-    { "id": "moss-tts-local",         "display_name": "MOSS-TTS-Local v1.5 (tts)",              "family": "moss_tts_local",       "path": "models/MOSS-TTS-Local-Transformer-v1.5", "task": "tts",   "mode": "offline", "download_id": "moss_tts_local_v1_5",     "min_vram_gb": 8 },
-    { "id": "moss-tts-nano",          "display_name": "MOSS-TTS-Nano 100M (tts)",               "family": "moss_tts_nano",        "path": "models/MOSS-TTS-Nano-100M",              "task": "tts",   "mode": "offline", "download_id": "moss_tts_nano_100m",      "min_vram_gb": 2 },
-        { "id": "magpie-tts",             "display_name": "MagpieTTS Multilingual 357M v2607 (tts, preset voices)", "display_name_en": "MagpieTTS Multilingual 357M v2607 (tts, preset voices)", "family": "magpie_tts", "path": "models/MagpieTTS-Multilingual-357M-GGUF", "task": "tts", "mode": "offline", "download_id": "magpie_tts_q8_0", "min_vram_gb": 4,
+    { "id": "irodori-tts-v3-500m",    "display_name": "Irodori-TTS 500M v3 (tts 日语)",         "display_name_en": "Irodori-TTS 500M v3 (ja tts)",          "family": "irodori_tts", "path": "models/Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-q8_0.gguf", "task": "tts",  "mode": "offline", "download_id": "irodori_tts_500m_v3_q8_0", "min_vram_gb": 4 },
+    { "id": "moss-tts-local",         "display_name": "MOSS-TTS-Local v1.5 (tts)",              "family": "moss_tts_local",       "path": "models/MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-q8_0.gguf",                        "task": "tts",   "mode": "offline", "download_id": "moss_tts_local_v1_5_q8_0",        "min_vram_gb": 8 },
+    { "id": "moss-tts-nano",          "display_name": "MOSS-TTS-Nano 100M (tts)",               "family": "moss_tts_nano",        "path": "models/MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-q8_0.gguf",                          "task": "tts",   "mode": "offline", "download_id": "moss_tts_nano_100m_q8_0",         "min_vram_gb": 2 },
+        { "id": "magpie-tts",             "display_name": "MagpieTTS Multilingual 357M v2607 (tts, preset voices)", "display_name_en": "MagpieTTS Multilingual 357M v2607 (tts, preset voices)", "family": "magpie_tts", "path": "models/MagpieTTS-Multilingual-357M-GGUF/magpie-tts-multilingual-357m-q8_0.gguf", "task": "tts", "mode": "offline", "download_id": "magpie_tts_q8_0", "min_vram_gb": 4,
           "input_hint": "**MagpieTTS**：多语种离线 TTS；使用打包 speaker map 里的 `voice_id`，不需要上传参考音频。当前 GGUF 包不包含日语 phoneme 表，因此日语路径不可用。",
           "input_hint_en": "**MagpieTTS**: multilingual offline TTS with packaged speaker prompts selected by `voice_id`; no reference upload is needed. The current GGUF package does not include the Japanese phoneme table, so Japanese is not available." },
         { "id": "fireredtts3-instruct",   "display_name": "FireRedTTS3 Instruct Clone", "family": "fireredtts3", "path": "models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf", "task": "clon", "mode": "offline", "download_id": "fireredtts3_instruct_q8_0", "min_vram_gb": 8,
@@ -39,44 +47,60 @@
           "input_hint_en": "**FireRedTTS3 Base**: zero-shot voice cloning. Upload a reference voice and provide the matching reference transcript." },
         { "id": "firered-audio-tts",      "display_name": "FireRedAudio Clone", "family": "firered_audio", "path": "models/FireRedAudio-GGUF/firered-audio-q8_0.gguf", "task": "clon", "mode": "offline", "download_id": "firered_audio_q8_0", "min_vram_gb": 10,
           "input_hint_en": "**FireRedAudio Clone**: upload a reference voice and provide the matching reference transcript. For no-reference voice design, use the VoiceDesign entry." },
-        { "id": "supertonic",             "display_name": "Supertonic 3 (tts 预置音色/多语种)",        "display_name_en": "Supertonic 3 (tts, preset voices)",      "family": "supertonic", "path": "models/supertonic-3",       "task": "tts",   "mode": "offline", "download_id": "supertonic_3",            "min_vram_gb": 2 },
-    { "id": "higgs-audio-tts",        "display_name": "Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)", "display_name_en": "Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)", "family": "higgs_audio_tts", "path": "models/Higgs-Audio-v3-TTS-4B-GGUF", "task": "tts", "mode": "offline", "download_id": "higgs_audio_v3_tts_4b", "min_vram_gb": 6,
+        { "id": "supertonic",             "display_name": "Supertonic 3 (tts 预置音色/多语种)",        "display_name_en": "Supertonic 3 (tts, preset voices)",      "family": "supertonic", "path": "models/Supertonic-3-GGUF/supertonic-3-orig.gguf",       "task": "tts",   "mode": "offline", "download_id": "supertonic_3_orig",            "min_vram_gb": 2 },
+    { "id": "higgs-audio-tts",        "display_name": "Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)", "display_name_en": "Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)", "family": "higgs_audio_tts", "path": "models/Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-q8_0.gguf", "task": "tts", "mode": "offline", "download_id": "higgs_audio_tts_4b_q8_0", "min_vram_gb": 6,
       "input_hint": "**Higgs Audio v3 TTS**：Q8_0 GGUF 包（权重已量化，不用再设 weight_type）；上传参考音色即声音克隆，留空用默认音色；长文本自动分段。",
       "input_hint_en": "**Higgs Audio v3 TTS**: Q8_0 GGUF package (already quantized — no weight_type needed). Upload a reference voice to clone, or leave it empty for the default voice; long text is chunked automatically." },
-    { "id": "fish-audio-s2-pro",      "display_name": "Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)", "display_name_en": "Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)", "family": "fish_audio", "path": "models/Fish-Audio-S2-Pro-GGUF", "task": "tts", "mode": "offline", "download_id": "fish_audio_s2_pro", "min_vram_gb": 8,
+    { "id": "fish-audio-s2-pro",      "display_name": "Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)", "display_name_en": "Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)", "family": "fish_audio", "path": "models/Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-q8_0.gguf", "task": "tts", "mode": "offline", "download_id": "fish_audio_s2_pro_q8_0", "min_vram_gb": 8,
       "input_hint": "**Fish Audio S2 Pro**：Q8_0 GGUF 包；中英+自动语种；上传参考音色即克隆；正文里可写行内控制标记（如 (laugh)）。",
       "input_hint_en": "**Fish Audio S2 Pro**: Q8_0 GGUF package; English/Chinese plus auto language. Upload a reference voice to clone; inline control tags such as (laugh) can be written in the text." },
-    { "id": "glm-tts",                "display_name": "GLM-TTS (tts 克隆, 社区)",                  "display_name_en": "GLM-TTS (tts + clone, community)", "family": "glm_tts", "path": "models/GLM-TTS", "task": "tts", "mode": "offline", "download_id": "glm_tts", "min_vram_gb": 8,
+    { "id": "glm-tts",                "display_name": "GLM-TTS (tts 克隆, 社区)",                  "display_name_en": "GLM-TTS (tts + clone, community)", "family": "glm_tts", "path": "models/GLM-TTS-Q8/Text to audio (TTS)/GLM-TTS_Q8.gguf", "task": "clon", "mode": "offline", "download_id": "glm_tts_q8_0",           "min_vram_gb": 8,
       "input_hint": "**GLM-TTS**（社区模型）：中英 TTS / voice clone；上传参考音色即克隆。",
       "input_hint_en": "**GLM-TTS** (community): Chinese/English TTS and voice clone. Upload a reference voice to clone." },
-    { "id": "outetts",                "display_name": "Llama-OuteTTS 1.0 1B (tts 克隆, 社区)",     "display_name_en": "Llama-OuteTTS 1.0 1B (tts + clone, community)", "family": "outetts", "path": "models/Llama-OuteTTS-1.0-1B", "task": "tts", "mode": "offline", "download_id": "outetts_1_0_1b", "min_vram_gb": 4,
+    { "id": "outetts",                "display_name": "Llama-OuteTTS 1.0 1B (tts 克隆, 社区)",     "display_name_en": "Llama-OuteTTS 1.0 1B (tts + clone, community)", "family": "outetts", "path": "models/Llama-OuteTTS-1.0-1B_Q8/Text to audio (TTS)/Llama-OuteTTS-1.0-1B_Q8.gguf", "task": "tts", "mode": "offline", "download_id": "outetts_1_0_1b_q8_0", "min_vram_gb": 4,
       "input_hint": "**OuteTTS 1.0 1B**（社区模型）：23 种语言，DAC 编解码；上传参考音色即克隆。",
       "input_hint_en": "**OuteTTS 1.0 1B** (community): 23 languages, IBM DAC codec. Upload a reference voice to clone." },
-    { "id": "vietneu-tts",            "display_name": "VieNeu-TTS v3 Turbo (tts 越南语, 社区)",    "display_name_en": "VieNeu-TTS v3 Turbo (vi tts, community)", "family": "vietneu_tts", "path": "models/VieNeu-TTS-v3-Turbo", "task": "tts", "mode": "offline", "download_id": "vietneu_tts_v3_turbo", "min_vram_gb": 4,
+    { "id": "vietneu-tts",            "display_name": "VieNeu-TTS v3 Turbo (tts 越南语, 社区)",    "display_name_en": "VieNeu-TTS v3 Turbo (vi tts, community)", "family": "vietneu_tts", "path": "models/VieNeu-TTS-v3-Turbo-GGUF/model.gguf", "task": "clon", "mode": "offline", "download_id": "vietneu_tts_v3_turbo_q8_0", "min_vram_gb": 4,
       "input_hint": "**VieNeu-TTS v3 Turbo**（社区模型）：越南语 / 英语；上传参考音色即克隆。",
       "input_hint_en": "**VieNeu-TTS v3 Turbo** (community): Vietnamese and English. Upload a reference voice to clone." },
-    { "id": "inflect-v2",             "display_name": "Inflect Micro v2 (tts 英语, 社区)",       "display_name_en": "Inflect Micro v2 (en tts, community)", "family": "inflect_v2", "path": "models/Inflect-Micro-v2", "task": "tts", "mode": "offline", "download_id": "inflect_micro_v2", "min_vram_gb": 2,
+    { "id": "inflect-v2",             "display_name": "Inflect Micro v2 (tts 英语, 社区)",       "display_name_en": "Inflect Micro v2 (en tts, community)", "family": "inflect_v2", "path": "models/Inflect-Micro-v2-GGUF/inflect-micro-v2-orig.gguf", "task": "tts", "mode": "offline", "download_id": "inflect_micro_v2_orig", "min_vram_gb": 2,
       "input_hint": "**Inflect Micro v2**（社区模型）：英语离线 TTS；Micro 是默认包，Nano 可通过模型管理器另装后手动选择路径。",
       "input_hint_en": "**Inflect Micro v2** (community): English offline TTS. Micro is the default package; Nano can be installed separately and selected manually." },
-    { "id": "dramabox",               "display_name": "DramaBox (tts 克隆, GGUF Q8)",           "display_name_en": "DramaBox (tts + clone, GGUF Q8)", "family": "dramabox", "path": "models/DramaBox-GGUF", "task": "tts", "mode": "offline", "download_id": "dramabox_q8_0", "min_vram_gb": 16,
+    { "id": "dramabox",               "display_name": "DramaBox (tts 克隆, GGUF Q8)",           "display_name_en": "DramaBox (tts + clone, GGUF Q8)", "family": "dramabox", "path": "models/DramaBox-GGUF/dramabox-q8_0.gguf",      "task": "tts", "mode": "offline", "download_id": "dramabox_q8_0",                     "min_vram_gb": 16,
       "input_hint": "**DramaBox**：英语 TTS / voice clone；上传参考音色可克隆，长文本建议写清楚说话人描述。",
       "input_hint_en": "**DramaBox**: English TTS and voice clone. Upload a reference voice to clone; for long text, keep speaker wording explicit." },
-    { "id": "confucius4-tts",         "display_name": "Confucius4-TTS (voice clone, GGUF)",     "display_name_en": "Confucius4-TTS (voice clone, GGUF)", "family": "confucius4_tts", "path": "models/Confucius4-TTS-GGUF", "task": "clon", "mode": "offline", "download_id": "confucius4_tts_orig", "min_vram_gb": 8,
+    { "id": "confucius4-tts",         "display_name": "Confucius4-TTS (voice clone, GGUF)",     "display_name_en": "Confucius4-TTS (voice clone, GGUF)", "family": "confucius4_tts", "path": "models/Confucius4-TTS-GGUF/confucius4-tts-orig.gguf", "task": "clon", "mode": "offline", "download_id": "confucius4_tts_orig", "min_vram_gb": 8,
       "input_hint": "**Confucius4-TTS**：需要参考音色；当前中文/英语路径更可靠，非中英语种仍在验证中。",
       "input_hint_en": "**Confucius4-TTS**: requires a reference voice. Chinese/English are the most reliable paths; other languages are still being validated." },
 
-    { "id": "echo-tts",               "display_name": "Echo-TTS (voice clone)",                "family": "echo_tts",             "path": "models/Echo-TTS-GGUF",                   "task": "clon",  "mode": "offline", "download_id": "echo_tts_q8_0",           "min_vram_gb": 8,
+    { "id": "echo-tts",               "display_name": "Echo-TTS (voice clone)",                "family": "echo_tts",             "path": "models/Echo-TTS-GGUF/echo-tts-q8_0.gguf",                                               "task": "clon",  "mode": "offline", "download_id": "echo_tts_q8_0",                   "min_vram_gb": 8,
       "input_hint_en": "**Echo-TTS**: English zero-shot cloning at 44.1 kHz. Upload a reference voice -- no transcript needed. Output is CC-BY-NC-SA and may not be used commercially." },
 
-    { "id": "chatterbox",             "display_name": "Chatterbox (voice clone)",              "family": "chatterbox",           "path": "models/chatterbox",                      "task": "clon",  "mode": "offline", "download_id": "chatterbox",              "min_vram_gb": 12 },
+    { "id": "chatterbox",             "display_name": "Chatterbox (voice clone)",              "family": "chatterbox",           "path": "models/Chatterbox-GGUF/chatterbox-q8_0.gguf",                                           "task": "clon",  "mode": "offline", "download_id": "chatterbox_q8_0",                 "min_vram_gb": 12 },
+    { "id": "f5-tts-habibi",          "display_name": "F5-TTS Habibi Unified (voice clone, ar)", "family": "f5_tts",             "path": "models/Habibi-TTS/Unified/habibi-unified-orig.gguf",                                    "task": "clon",  "mode": "offline", "download_id": "habibi_unified",                  "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Unified**: Arabic zero-shot cloning across dialects. Upload a reference voice and provide the matching reference transcript; select a dialect with `dialect` (MSA, SAU, UAE, ALG, IRQ, EGY, MAR, ...) in the JSON box. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-alg",      "display_name": "F5-TTS Habibi Algerian (voice clone, ar-ALG)", "family": "f5_tts",        "path": "models/Habibi-TTS/Specialized/ALG/habibi-alg-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_alg",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Algerian**: Arabic zero-shot cloning specialised for the Algerian checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-egy",      "display_name": "F5-TTS Habibi Egyptian (voice clone, ar-EGY)", "family": "f5_tts",        "path": "models/Habibi-TTS/Specialized/EGY/habibi-egy-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_egy",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Egyptian**: Arabic zero-shot cloning specialised for the Egyptian checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-irq",      "display_name": "F5-TTS Habibi Iraqi (voice clone, ar-IRQ)", "family": "f5_tts",           "path": "models/Habibi-TTS/Specialized/IRQ/habibi-irq-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_irq",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Iraqi**: Arabic zero-shot cloning specialised for the Iraqi checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-mar",      "display_name": "F5-TTS Habibi Moroccan (voice clone, ar-MAR)", "family": "f5_tts",        "path": "models/Habibi-TTS/Specialized/MAR/habibi-mar-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_mar",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Moroccan**: Arabic zero-shot cloning specialised for the Moroccan checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-msa",      "display_name": "F5-TTS Habibi Modern Standard Arabic (voice clone, ar-MSA)", "family": "f5_tts", "path": "models/Habibi-TTS/Specialized/MSA/habibi-msa-orig.gguf",                         "task": "clon",  "mode": "offline", "download_id": "habibi_msa",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Modern Standard Arabic**: Arabic zero-shot cloning specialised for the Modern Standard Arabic checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-sau",      "display_name": "F5-TTS Habibi Saudi (voice clone, ar-SAU)", "family": "f5_tts",           "path": "models/Habibi-TTS/Specialized/SAU/habibi-sau-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_sau",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Saudi**: Arabic zero-shot cloning specialised for the Saudi checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
+    { "id": "f5-tts-habibi-uae",      "display_name": "F5-TTS Habibi Emirati (voice clone, ar-UAE)", "family": "f5_tts",         "path": "models/Habibi-TTS/Specialized/UAE/habibi-uae-orig.gguf",                                "task": "clon",  "mode": "offline", "download_id": "habibi_uae",                      "min_vram_gb": 4,
+      "input_hint_en": "**F5-TTS Habibi Emirati**: Arabic zero-shot cloning specialised for the Emirati checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only." },
 
-    { "id": "ace-step",               "display_name": "ACE-Step 1.5 (music gen)",              "family": "ace_step",             "path": "models/Ace-Step1.5",                     "task": "gen",   "mode": "offline", "download_id": "ace_step",                "session_options": { "ace_step.mem_saver": "true", "ace_step.dit_weight_type": "q8_0", "ace_step.text_encoder_weight_type": "q8_0", "ace_step.planner_weight_type": "q8_0" }, "min_vram_gb": 8 },
-    { "id": "minimax-music3",         "display_name": "MiniMax-Music3 (song gen)",             "family": "minimax_music3",       "path": "models/MiniMax-Music3-GGUF", "task": "gen", "mode": "offline", "download_id": "minimax_music3_q4_0", "min_vram_gb": 12 },
-    { "id": "stable-audio-small-music","display_name": "Stable Audio 3 Small Music (gen)",     "family": "stable_audio",         "path": "models/stable-audio-3-small-music",      "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_small_music", "min_vram_gb": 4 },
-    { "id": "stable-audio-small-sfx", "display_name": "Stable Audio 3 Small SFX (gen)",        "family": "stable_audio",         "path": "models/stable-audio-3-small-sfx",        "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_small_sfx", "min_vram_gb": 4 },
-    { "id": "stable-audio-medium",    "display_name": "Stable Audio 3 Medium (gen)",           "family": "stable_audio",         "path": "models/stable-audio-3-medium",           "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_medium",   "session_options": { "stable_audio.mem_saver": "true" }, "min_vram_gb": 10 },
-    { "id": "heartmula",              "display_name": "HeartMuLa 3B (music gen)",              "family": "heartmula",            "path": "models/HeartMuLa",                       "task": "gen",   "mode": "offline", "download_id": "heartmula",               "session_options": { "heartmula.mem_saver": "true" }, "min_vram_gb": 24 },
-        { "id": "minimax-h3",             "display_name": "MiniMax-H3 Q4 (sound generation)",      "family": "minimax_h3",           "path": "models/MiniMax-H3-Q4-GGUF/dit.gguf",    "task": "gen",   "mode": "offline", "download_id": "minimax_h3",              "min_vram_gb": 20,
+    { "id": "ace-step",               "display_name": "ACE-Step 1.5 (music gen)",              "family": "ace_step",             "path": "models/ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-bf16.gguf",                            "task": "gen",   "mode": "offline", "download_id": "ace_step_turbo_bf16",             "session_options": { "ace_step.mem_saver": "true", "ace_step.dit_weight_type": "q8_0", "ace_step.text_encoder_weight_type": "q8_0", "ace_step.planner_weight_type": "q8_0" }, "min_vram_gb": 8 },
+    { "id": "minimax-music3",         "display_name": "MiniMax-Music3 (song gen)",             "family": "minimax_music3",       "path": "models/MiniMax-Music3-GGUF",                                                            "task": "gen", "mode": "offline", "download_id": "minimax_music3_q4_0",               "min_vram_gb": 12 },
+    { "id": "stable-audio-small-music","display_name": "Stable Audio 3 Small Music (gen)",     "family": "stable_audio",         "path": "models/Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-q8_0.gguf",           "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_small_music_q8_0", "min_vram_gb": 4 },
+    { "id": "stable-audio-small-sfx", "display_name": "Stable Audio 3 Small SFX (gen)",        "family": "stable_audio",         "path": "models/Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-q8_0.gguf",               "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_small_sfx_q8_0",   "min_vram_gb": 4 },
+    { "id": "stable-audio-medium",    "display_name": "Stable Audio 3 Medium (gen)",           "family": "stable_audio",         "path": "models/Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-q8_0.gguf",                     "task": "gen",   "mode": "offline", "download_id": "stable_audio_3_medium_q8_0",      "session_options": { "stable_audio.mem_saver": "true" }, "min_vram_gb": 10 },
+    { "id": "heartmula",              "display_name": "HeartMuLa 3B (music gen)",              "family": "heartmula",            "path": "models/HeartMuLa-GGUF/heartmula-q8_0.gguf",                                             "task": "gen",   "mode": "offline", "download_id": "heartmula_q8_0",                  "session_options": { "heartmula.mem_saver": "true" }, "min_vram_gb": 24 },
+        { "id": "minimax-h3",             "display_name": "MiniMax-H3 Q4 (sound generation)",      "family": "minimax_h3",           "path": "models/MiniMax-H3-Q4-GGUF/dit.gguf",    "task": "gen",   "mode": "offline", "download_id": "minimax_h3_q4_k",              "min_vram_gb": 20,
           "default_options": { "num_inference_steps": 12, "height": 32, "width": 32, "num_frames": 241, "guidance_scale": 1.0, "dit_acceleration": "none", "return_video": false },
           "input_hint_en": "MiniMax-H3 uses a joint audio/video DiT. The default Q4 DiT is the quality-first choice; the optional CUDA-only INT8 ConvRot DiT trades slightly more VRAM for higher speed. Native Studio uses 12 denoising steps, a 32x32 latent canvas, quality-first full-DiT execution, and disables video decoding for practical audio-only generation on a 24 GB GPU." },
         { "id": "midashenglm-gen",        "display_name": "MiDashengLM-Gen (audio generation)", "family": "midashenglm_gen", "path": "models/MiDashengLM-Gen-GGUF/midashenglm-gen-q8_0.gguf", "task": "gen", "mode": "offline", "download_id": "midashenglm_gen_q8_0", "min_vram_gb": 8,
@@ -89,81 +113,85 @@
         { "id": "firered-audio-acoustic-edit", "display_name": "FireRedAudio Acoustic Edit", "family": "firered_audio", "path": "models/FireRedAudio-GGUF/firered-audio-q8_0.gguf", "task": "gen", "mode": "offline", "download_id": "firered_audio_q8_0", "min_vram_gb": 10,
           "input_hint_en": "**FireRedAudio Acoustic Edit**: upload source audio and use a trained acoustic instruction such as `shift the pitch by 3 steps`." },
 
-        { "id": "qwen3-asr",              "display_name": "Qwen3-ASR 0.6B (asr)",                  "family": "qwen3_asr",            "path": "models/Qwen3-ASR-0.6B",                  "task": "asr",   "mode": "offline", "download_id": "qwen3_asr_0_6b",          "min_vram_gb": 3 },
-    { "id": "qwen3-asr-1.7b",         "display_name": "Qwen3-ASR 1.7B HF (asr)",               "family": "qwen3_asr",            "path": "models/Qwen3-ASR-1.7B-hf",               "task": "asr",   "mode": "offline", "download_id": "qwen3_asr_1_7b_hf",       "min_vram_gb": 6,
+        { "id": "qwen3-asr",              "display_name": "Qwen3-ASR 0.6B (asr)",                  "family": "qwen3_asr",            "path": "models/Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-q8_0.gguf",                  "task": "asr",   "mode": "offline", "download_id": "qwen3_asr_0_6b_q8_0",          "min_vram_gb": 3 },
+    { "id": "qwen3-asr-1.7b",         "display_name": "Qwen3-ASR 1.7B HF (asr)",               "family": "qwen3_asr",            "path": "models/Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-q8_0.gguf",                                   "task": "asr",   "mode": "offline", "download_id": "qwen3_asr_1_7b_q8_0",             "min_vram_gb": 6,
       "input_hint": "**Qwen3-ASR 1.7B**（HF 原生权重，免转换）：精度高于 0.6B；长音频自动分段转写；8G 卡显存偏紧，长音频建议先短段试跑。", "input_hint_en": "**Qwen3-ASR 1.7B**: native Hugging Face weights with no conversion required. It is more accurate than the 0.6B model and automatically chunks long audio; test short clips first on an 8 GB GPU." },
-    { "id": "citrinet-asr",           "display_name": "Citrinet ASR (asr)",                    "family": "citrinet_asr",         "path": "models/citrinet",                        "task": "asr",   "mode": "offline", "download_id": "citrinet_asr",            "min_vram_gb": 2 },
-    { "id": "nemotron-asr",           "display_name": "Nemotron 3.5 ASR 0.6B (asr, 100+语种)", "display_name_en": "Nemotron 3.5 ASR 0.6B (asr, 100+ languages)", "family": "nemotron_asr",         "path": "models/nemotron-3.5-asr-streaming-0.6b", "task": "asr",   "mode": "offline", "download_id": "nemotron_asr",            "min_vram_gb": 4,
+    { "id": "citrinet-asr",           "display_name": "Citrinet ASR (asr)",                    "family": "citrinet_asr",         "path": "models/Citrinet-ASR-GGUF/citrinet-asr-q8_0.gguf",                                       "task": "asr",   "mode": "offline", "download_id": "citrinet_asr_q8_0",               "min_vram_gb": 2 },
+    { "id": "nemotron-asr",           "display_name": "Nemotron 3.5 ASR 0.6B (asr, 100+语种)", "display_name_en": "Nemotron 3.5 ASR 0.6B (asr, 100+ languages)", "family": "nemotron_asr",         "path": "models/Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf", "task": "asr",   "mode": "offline", "download_id": "nemotron_asr_q8_0", "min_vram_gb": 4,
       "input_hint": "**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。", "input_hint_en": "**Nemotron ASR**: supports more than 100 languages using BCP-47 codes such as en-US or zh-CN. Leave language blank for automatic detection; long audio is handled by the model." },
-    { "id": "higgs-audio-stt",        "display_name": "Higgs Audio v3 STT (asr, 英语)", "display_name_en": "Higgs Audio v3 STT (asr, English)", "family": "higgs_audio_stt",      "path": "models/higgs-audio-v3-stt",              "task": "asr",   "mode": "offline", "download_id": "higgs_audio_stt",         "min_vram_gb": 8,
+    { "id": "higgs-audio-stt",        "display_name": "Higgs Audio v3 STT (asr, 英语)", "display_name_en": "Higgs Audio v3 STT (asr, English)", "family": "higgs_audio_stt",      "path": "models/Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-q8_0.gguf", "task": "asr",   "mode": "offline", "download_id": "higgs_audio_stt_q8_0", "min_vram_gb": 8,
       "input_hint": "**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。", "input_hint_en": "**Higgs Audio STT**: English transcription. The text box accepts an instruction; offline mode automatically chunks long audio." },
-    { "id": "hviske-asr",             "display_name": "Hviske v5.3 (asr, 丹麦语)", "display_name_en": "Hviske v5.3 (asr, Danish)", "family": "hviske_asr",           "path": "models/hviske-v5.3",                     "task": "asr",   "mode": "offline", "download_id": "hviske_asr",              "min_vram_gb": 6,
+    { "id": "hviske-asr",             "display_name": "Hviske v5.3 (asr, 丹麦语)", "display_name_en": "Hviske v5.3 (asr, Danish)", "family": "hviske_asr",           "path": "models/Hviske-v5.3-GGUF/hviske-v5.3_Q8.gguf",          "task": "asr",   "mode": "offline", "download_id": "hviske_asr_q8_0",                 "min_vram_gb": 6,
       "input_hint": "**Hviske ASR**：丹麦语专用；模型侧自动分段。", "input_hint_en": "**Hviske ASR**: dedicated Danish transcription with automatic model-side segmentation." },
-    { "id": "vibevoice-asr",          "display_name": "VibeVoice ASR (asr, 多语种+说话人分段)", "display_name_en": "VibeVoice ASR (asr, multilingual + speaker turns)", "family": "vibevoice_asr",        "path": "models/VibeVoice-ASR",                   "task": "asr",   "mode": "offline", "download_id": "vibevoice_asr",           "min_vram_gb": 20,
+    { "id": "vibevoice-asr",          "display_name": "VibeVoice ASR (asr, 多语种+说话人分段)", "display_name_en": "VibeVoice ASR (asr, multilingual + speaker turns)", "family": "vibevoice_asr",        "path": "models/VibeVoice-ASR-GGUF/vibevoice-asr-q8_0.gguf", "task": "asr",   "mode": "offline", "download_id": "vibevoice_asr_q8_0", "min_vram_gb": 20,
       "input_hint": "**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。", "input_hint_en": "**VibeVoice ASR**: automatic language detection with segment and speaker-turn output. The text box accepts a context prompt. Its 17.3 GB weights require substantially more than 8 GB VRAM." },
-    { "id": "voxtral-realtime",       "display_name": "Voxtral Mini 4B Realtime (asr, 自动语种+流式)", "display_name_en": "Voxtral Mini 4B Realtime (asr, auto + streaming)", "family": "voxtral_realtime", "path": "models/Voxtral-Mini-4B-Realtime-2602-GGUF", "task": "asr", "mode": "offline", "download_id": "voxtral_realtime", "min_vram_gb": 8 },
-    { "id": "fun-asr-nano",           "display_name": "Fun-ASR-Nano 2512 (asr, GGUF Q8)",      "display_name_en": "Fun-ASR-Nano 2512 (asr, GGUF Q8)", "family": "fun_asr_nano", "path": "models/Fun-ASR-Nano-2512-GGUF", "task": "asr", "mode": "offline", "download_id": "fun_asr_nano_2512_q8_0", "min_vram_gb": 4,
+    { "id": "voxtral-realtime",       "display_name": "Voxtral Mini 4B Realtime (asr, 自动语种+流式)", "display_name_en": "Voxtral Mini 4B Realtime (asr, auto + streaming)", "family": "voxtral_realtime", "path": "models/Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "voxtral_realtime_q8_0", "min_vram_gb": 8 },
+    { "id": "fun-asr-nano",           "display_name": "Fun-ASR-Nano 2512 (asr, GGUF Q8)",      "display_name_en": "Fun-ASR-Nano 2512 (asr, GGUF Q8)", "family": "fun_asr_nano", "path": "models/Fun-ASR-Nano-2512-GGUF/fun-asr-nano-2512-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "fun_asr_nano_2512_q8_0", "min_vram_gb": 4,
       "input_hint": "**Fun-ASR-Nano**：轻量离线 ASR；支持 auto/中文/英语/日语。",
       "input_hint_en": "**Fun-ASR-Nano**: lightweight offline ASR; supports auto, Chinese, English and Japanese." },
-    { "id": "parakeet-tdt",           "display_name": "Parakeet-TDT 0.6B v3 (asr, 流式)",       "display_name_en": "Parakeet-TDT 0.6B v3 (asr + streaming)", "family": "parakeet_tdt", "path": "models/parakeet-tdt-0.6b-v3", "task": "asr", "mode": "offline", "download_id": "parakeet_tdt", "min_vram_gb": 4,
+    { "id": "parakeet-tdt",           "display_name": "Parakeet-TDT 0.6B v3 (asr, 流式)",       "display_name_en": "Parakeet-TDT 0.6B v3 (asr + streaming)", "family": "parakeet_tdt", "path": "models/Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "parakeet_tdt_q8_0", "min_vram_gb": 4,
       "input_hint": "**Parakeet-TDT**：离线/长音频/流式 ASR；支持多种欧洲语言，留空=自动。",
       "input_hint_en": "**Parakeet-TDT**: offline, long-form and streaming ASR for many European languages; leave language empty for auto." },
-    { "id": "kroko-asr",              "display_name": "Kroko Community ASR (asr, GGUF Q8)",     "display_name_en": "Kroko Community ASR (asr, GGUF Q8)", "family": "kroko_asr", "path": "models/Kroko-ASR-GGUF", "task": "asr", "mode": "offline", "download_id": "kroko_asr_community_q8_0", "min_vram_gb": 4,
+    { "id": "kroko-asr",              "display_name": "Kroko Community ASR (asr, GGUF Q8)",     "display_name_en": "Kroko Community ASR (asr, GGUF Q8)", "family": "kroko_asr", "path": "models/Kroko-ASR-GGUF/kroko-en-community-64-l-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "kroko_asr_community_q8_0", "min_vram_gb": 4,
       "input_hint": "**Kroko Community ASR**：GGUF Q8 包；离线转写，支持时间戳。",
       "input_hint_en": "**Kroko Community ASR**: GGUF Q8 package for offline transcription with timestamps." },
-    { "id": "granite5asr",            "display_name": "Granite Speech 5.0 470M TurboCTC (asr)", "display_name_en": "Granite Speech 5.0 470M TurboCTC (asr)", "family": "granite5asr", "path": "granite5asr", "task": "asr", "mode": "offline", "download_id": "granite5asr_q8_0", "min_vram_gb": 4,
+    { "id": "granite5asr",            "display_name": "Granite Speech 5.0 470M TurboCTC (asr)", "display_name_en": "Granite Speech 5.0 470M TurboCTC (asr)", "family": "granite5asr", "path": "models/Granite-Speech-5.0-470M-TurboCTC-GGUF/granite-speech-5.0-470m-turboctc-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "granite5asr_q8_0", "min_vram_gb": 4,
       "input_hint": "**Granite Speech 5.0 TurboCTC**：IBM 470M 英语 ASR；超快 Conformer CTC 转写；支持长音频自动分段与流式模式。",
       "input_hint_en": "**Granite Speech 5.0 TurboCTC**: IBM 470M English ASR with ultra-fast Conformer CTC architecture, supporting long-form audio segmentation and streaming mode." },
-        { "id": "sense-asr",                "display_name": "SenseVoice-Small (asr, 流式, 社区)",   "display_name_en": "SenseVoice-Small (asr + streaming, community)", "family": "sense_asr", "path": "models/SenseVoice-Small-GGUF", "task": "asr", "mode": "offline", "download_id": "sensevoice_small_q8", "min_vram_gb": 4,
+        { "id": "sense-asr",                "display_name": "SenseVoice-Small (asr, 流式, 社区)",   "display_name_en": "SenseVoice-Small (asr + streaming, community)", "family": "sense_asr", "path": "models/SenseVoice-Small-GGUF/sensevoice-small-q8-audiocpp-v1.gguf", "task": "asr", "mode": "offline", "download_id": "sensevoice_small_q8", "min_vram_gb": 4,
           "input_hint": "**SenseVoice-Small**（社区模型）：多语种 ASR，事件/情感/语言标签，ITN 可开关；离线与流式模式。",
           "input_hint_en": "**SenseVoice-Small** (community): multilingual ASR with event/emotion/language tags, optional ITN; offline and streaming modes." },
         { "id": "firered-audio-asr",      "display_name": "FireRedAudio (ASR / audio QA)", "family": "firered_audio", "path": "models/FireRedAudio-GGUF/firered-audio-q8_0.gguf", "task": "asr", "mode": "offline", "download_id": "firered_audio_q8_0", "min_vram_gb": 10,
           "input_hint_en": "**FireRedAudio ASR**: upload audio, then use the text box as the transcription or audio-understanding instruction." },
 
-    { "id": "chatterbox-vc",           "display_name": "Chatterbox (vc 声音转换)",                "display_name_en": "Chatterbox (voice conversion)", "family": "chatterbox", "path": "models/chatterbox", "task": "vc", "mode": "offline", "download_id": "chatterbox", "min_vram_gb": 12,
+    { "id": "chatterbox-vc",           "display_name": "Chatterbox (vc 声音转换)",                "display_name_en": "Chatterbox (voice conversion)", "family": "chatterbox", "path": "models/Chatterbox-GGUF/chatterbox-q8_0.gguf",  "task": "vc", "mode": "offline", "download_id": "chatterbox_q8_0",                    "min_vram_gb": 12,
       "input_hint": "**Chatterbox VC**：上传源语音和目标音色参考；模型保留源语音内容，将说话人音色转换为目标音色，输出 24kHz 单声道。",
       "input_hint_en": "**Chatterbox VC**: upload source speech and a target-voice reference. It preserves the source content and converts the speaker identity; output is 24 kHz mono." },
-    { "id": "meanvc2",                "display_name": "MeanVC2 (voice conversion)", "display_name_en": "MeanVC2 (voice conversion)", "family": "meanvc2", "path": "models/MeanVC2-GGUF/meanvc2-120ms-40ms-fp32.gguf", "task": "vc", "mode": "offline", "download_id": "meanvc2_120ms_40ms_f32", "min_vram_gb": 6,
+    { "id": "meanvc2",                "display_name": "MeanVC2 (voice conversion)", "display_name_en": "MeanVC2 (voice conversion)", "family": "meanvc2", "path": "models/MeanVC2-GGUF/meanvc2-120ms-40ms-fp32.gguf",             "task": "vc", "mode": "offline", "download_id": "meanvc2_120ms_40ms_f32",             "min_vram_gb": 6,
       "input_hint": "**MeanVC2**：上传源语音和目标音色参考；默认 120 ms / 40 ms checkpoint 使用 F32 GGUF。",
       "input_hint_en": "**MeanVC2**: upload source speech and a target-voice reference. The default 120 ms / 40 ms checkpoint uses F32 GGUF." },
-    { "id": "vevo2",                  "display_name": "Vevo2 (vc 语音转换, GGUF Q8)",           "display_name_en": "Vevo2 (voice conversion, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF",     "task": "vc",    "mode": "offline", "download_id": "vevo2_gguf",              "min_vram_gb": 6 },
-    { "id": "vevo2-svc",              "display_name": "Vevo2 (svc 歌声转换, GGUF Q8)",          "display_name_en": "Vevo2 (singing voice conversion, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF", "task": "svc",   "mode": "offline", "download_id": "vevo2_gguf",              "min_vram_gb": 6,
+    { "id": "vevo2",                  "display_name": "Vevo2 (vc 语音转换, GGUF Q8)",           "display_name_en": "Vevo2 (voice conversion, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF/vevo2-q8_0.gguf",               "task": "vc",    "mode": "offline", "download_id": "vevo2_q8_0",                      "min_vram_gb": 6 },
+    { "id": "vevo2-svc",              "display_name": "Vevo2 (svc 歌声转换, GGUF Q8)",          "display_name_en": "Vevo2 (singing voice conversion, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF/vevo2-q8_0.gguf",       "task": "svc",   "mode": "offline", "download_id": "vevo2_q8_0",                      "min_vram_gb": 6,
       "input_hint": "**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。", "input_hint_en": "**Vevo2 singing conversion**: upload source singing and a target-singer reference. The default route is style_preserved_svc; style-conversion routes also accept style_ref, style_ref_text and target_text in Additional options." },
-    { "id": "vevo2-s2s",              "display_name": "Vevo2 (s2s 语音编辑, GGUF Q8)",          "display_name_en": "Vevo2 (speech editing, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF",      "task": "s2s",   "mode": "offline", "download_id": "vevo2_gguf",              "min_vram_gb": 6,
+    { "id": "vevo2-s2s",              "display_name": "Vevo2 (s2s 语音编辑, GGUF Q8)",          "display_name_en": "Vevo2 (speech editing, GGUF Q8)", "family": "vevo2", "path": "models/Vevo2-GGUF/vevo2-q8_0.gguf",                 "task": "s2s",   "mode": "offline", "download_id": "vevo2_q8_0",                      "min_vram_gb": 6,
       "input_hint": "**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\"target_text\": \"替换后的完整句子\"}`（编辑保持原说话人音色，可不上传目标音色）。", "input_hint_en": "**Vevo2 speech editing**: upload source speech and set target_text to the complete replacement sentence in Additional options. Editing preserves the original speaker and does not require a target-voice reference." },
-    { "id": "seed-vc",                "display_name": "Seed-VC (vc 语音转换)", "display_name_en": "Seed-VC (voice conversion)", "family": "seed_vc",              "path": "models/SeedVC-MLX",                      "task": "vc",    "mode": "offline", "download_id": "seed_vc",                 "min_vram_gb": 4 },
-    { "id": "seed-vc-svc",            "display_name": "Seed-VC (svc 歌声转换)", "display_name_en": "Seed-VC (singing voice conversion)", "family": "seed_vc",              "path": "models/SeedVC-MLX",                      "task": "svc",   "mode": "offline", "download_id": "seed_vc",                 "min_vram_gb": 4,
+    { "id": "dots-tts-edit",          "display_name": "DotTTS Edit (speech editing)",          "family": "dots_tts",             "path": "models/DotTTS-Edit-GGUF/dots-tts-edit-q8_0.gguf",                                       "task": "s2s",   "mode": "offline", "download_id": "dots_tts_edit_q8_0",              "min_vram_gb": 8, "default_options": { "template_name": "edit" },
+      "input_hint_en": "**DotTTS Edit**: upload the source speech and describe the edit in the text box. Optional `instruction`, `source_text`, `target_text` and `use_xvector` overrides can be passed through the JSON box." },
+    { "id": "seed-vc",                "display_name": "Seed-VC (vc 语音转换)", "display_name_en": "Seed-VC (voice conversion)", "family": "seed_vc",              "path": "models/SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf",             "task": "vc",    "mode": "offline", "download_id": "seed_vc_mlx_q8_0",                "min_vram_gb": 4 },
+    { "id": "seed-vc-svc",            "display_name": "Seed-VC (svc 歌声转换)", "display_name_en": "Seed-VC (singing voice conversion)", "family": "seed_vc",              "path": "models/SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf",    "task": "svc",   "mode": "offline", "download_id": "seed_vc_mlx_q8_0",                "min_vram_gb": 4,
       "input_hint": "**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。", "input_hint_en": "**Seed-VC singing conversion**: upload source singing and a target-singer reference. The default route is v1_svc with F0 conditioning." },
-    { "id": "rvc",                    "display_name": "RVC (vc, GGUF F16)",                    "display_name_en": "RVC (voice conversion, GGUF F16)", "family": "rvc", "path": "models/RVC-GGUF", "task": "vc", "mode": "offline", "download_id": "rvc_f16", "min_vram_gb": 4,
+    { "id": "rvc",                    "display_name": "RVC (vc, GGUF F16)",                    "display_name_en": "RVC (voice conversion, GGUF F16)", "family": "rvc", "path": "models/RVC-GGUF/rvc-f16.gguf",                    "task": "vc", "mode": "offline", "download_id": "rvc_f16",                            "min_vram_gb": 4,
       "input_hint": "**RVC**：所选 GGUF 即目标音色；上传源语音即可转换；索引/音高等选项可用 JSON 传。",
       "input_hint_en": "**RVC**: the selected GGUF is the target voice; upload source speech to convert. Index and pitch options can be passed through the JSON box." },
-    { "id": "miocodec",               "display_name": "MioCodec (vc; codec dependency)",       "family": "miocodec",             "path": "models/MioCodec-25Hz-44.1kHz-v2",        "task": "vc",    "mode": "offline", "download_id": "miocodec_25hz_44k_v2",    "min_vram_gb": 3 },
-        { "id": "personaplex",            "display_name": "PersonaPlex 7B v1 (speech conversation)", "display_name_en": "PersonaPlex 7B v1 (speech conversation)", "family": "personaplex", "path": "models/PersonaPlex-GGUF", "task": "s2s", "mode": "offline", "download_id": "personaplex_7b_v1_q4_k", "min_vram_gb": 8,
+    { "id": "miocodec",               "display_name": "MioCodec (vc; codec dependency)",       "family": "miocodec",             "path": "models/MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-q8_0.gguf",                 "task": "vc",    "mode": "offline", "download_id": "miocodec_q8_0",                   "min_vram_gb": 3 },
+        { "id": "personaplex",            "display_name": "PersonaPlex 7B v1 (speech conversation)", "display_name_en": "PersonaPlex 7B v1 (speech conversation)", "family": "personaplex", "path": "models/PersonaPlex-GGUF/personaplex-7b-v1-q8_0.gguf", "task": "s2s", "mode": "offline", "download_id": "personaplex_7b_v1_q8_0", "min_vram_gb": 8,
           "request_options": ["voice_id", "system_prompt", "temperature", "text_temperature", "top_k", "text_top_k", "do_sample", "seed"],
           "input_hint": "**PersonaPlex**：上传用户语音，模型返回语音回复；文本框可填写 assistant system/persona prompt；`voice_id` 选择打包音色，也可上传参考音色覆盖。",
           "input_hint_en": "**PersonaPlex**: upload user speech and receive a spoken response. The text box provides the assistant system/persona prompt; `voice_id` selects a packaged voice, and an uploaded reference voice overrides it." },
         { "id": "audiosr",                "display_name": "AudioSR (audio super-resolution)", "family": "audiosr", "path": "models/AudioSR-GGUF/audiosr-basic-f32.gguf", "task": "s2s", "mode": "offline", "download_id": "audiosr_basic_f32", "min_vram_gb": 8,
           "input_hint_en": "**AudioSR**: upload a source audio file to generate a super-resolved output." },
 
-    { "id": "htdemucs",               "display_name": "HTDemucs (sep 音源分离)", "display_name_en": "HTDemucs (source separation)", "family": "htdemucs",             "path": "models/htdemucs",                        "task": "sep",   "mode": "offline", "download_id": "htdemucs",                "min_vram_gb": 3 },
-    { "id": "bs-roformer",             "display_name": "BS-RoFormer (sep 人声分离)", "display_name_en": "BS-RoFormer (vocal separation)", "family": "bs_roformer",           "path": "models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf", "task": "sep", "mode": "offline", "download_id": "bs_roformer_q8_0", "min_vram_gb": 3 },
-    { "id": "mel-band-roformer",      "display_name": "Mel-Band RoFormer (sep 人声分离)", "display_name_en": "Mel-Band RoFormer (vocal separation)", "family": "mel_band_roformer",    "path": "models/mel-roformer-mlx",                "task": "sep",   "mode": "offline", "download_id": "mel_band_roformer",       "min_vram_gb": 3 },
+    { "id": "htdemucs",               "display_name": "HTDemucs (sep 音源分离)", "display_name_en": "HTDemucs (source separation)", "family": "htdemucs",             "path": "models/HTDemucs-GGUF/htdemucs-q8_0.gguf",              "task": "sep",   "mode": "offline", "download_id": "htdemucs_q8_0",                   "min_vram_gb": 3 },
+    { "id": "bs-roformer",             "display_name": "BS-RoFormer (sep 人声分离)", "display_name_en": "BS-RoFormer (vocal separation)", "family": "bs_roformer",           "path": "models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf", "task": "sep", "mode": "offline", "download_id": "bs_roformer_q8_0",      "min_vram_gb": 3 },
+    { "id": "mel-band-roformer",      "display_name": "Mel-Band RoFormer (sep 人声分离)", "display_name_en": "Mel-Band RoFormer (vocal separation)", "family": "mel_band_roformer",    "path": "models/Mel-Band-RoFormer-GGUF/mel-band-roformer-q8_0.gguf", "task": "sep",   "mode": "offline", "download_id": "mel_band_roformer_q8_0", "min_vram_gb": 3 },
 
-    { "id": "silero-vad",             "display_name": "Silero VAD (vad, bundled)",             "family": "silero_vad",           "path": "assets/framework/models/silero_vad",     "task": "vad",   "mode": "offline", "min_vram_gb": 1 },
-    { "id": "marblenet-vad",          "display_name": "MarbleNet VAD (vad, bundled)",          "family": "marblenet_vad",        "path": "assets/framework/models/marblenet_vad",  "task": "vad",   "mode": "offline", "min_vram_gb": 1 },
-    { "id": "sortformer-diar",        "display_name": "Sortformer Diarization 4spk (diar)",    "family": "sortformer_diar",      "path": "models/diar_sortformer_4spk-v1",         "task": "diar",  "mode": "offline", "download_id": "sortformer_diar_4spk_v1", "min_vram_gb": 2 },
-    { "id": "qwen3-forced-aligner",   "display_name": "Qwen3 Forced Aligner (align)",          "family": "qwen3_forced_aligner", "path": "models/Qwen3-ForcedAligner-0.6B",        "task": "align", "mode": "offline", "download_id": "qwen3_forced_aligner_0_6b", "min_vram_gb": 3 },
-    { "id": "muscriptor-small",       "display_name": "MuScriptor Small (audio to MIDI)",      "family": "muscriptor",           "path": "models/MuScriptor-Small-GGUF",          "task": "midi",  "mode": "offline", "download_id": "muscriptor_small_f32",     "min_vram_gb": 4 },
+    { "id": "silero-vad",             "display_name": "Silero VAD (vad, bundled)",             "family": "silero_vad",           "path": "assets/framework/models/silero_vad",                                                    "task": "vad",   "mode": "offline", "min_vram_gb": 1 },
+    { "id": "marblenet-vad",          "display_name": "MarbleNet VAD (vad, bundled)",          "family": "marblenet_vad",        "path": "assets/framework/models/marblenet_vad",                                                 "task": "vad",   "mode": "offline", "min_vram_gb": 1 },
+    { "id": "sortformer-diar",        "display_name": "Sortformer Diarization 4spk (diar)",    "family": "sortformer_diar",      "path": "models/Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-q8_0.gguf",                 "task": "diar",  "mode": "offline", "download_id": "sortformer_diar_4spk_v1_q8_0",    "min_vram_gb": 2 },
+    { "id": "qwen3-forced-aligner",   "display_name": "Qwen3 Forced Aligner (align)",          "family": "qwen3_forced_aligner", "path": "models/Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-q8_0.gguf",              "task": "align", "mode": "offline", "download_id": "qwen3_forced_aligner_0_6b_q8_0",  "min_vram_gb": 3 },
+    { "id": "muscriptor-small",       "display_name": "MuScriptor Small (audio to MIDI)",      "family": "muscriptor",           "path": "models/MuScriptor-Small-GGUF/muscriptor-small-f32.gguf",                                "task": "midi",  "mode": "offline", "download_id": "muscriptor_small_f32",            "min_vram_gb": 4 },
 
-        { "id": "qwen3-tts-1.7b-vdesign", "display_name": "Qwen3-TTS 1.7B VoiceDesign (vdes)",     "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-VoiceDesign", "task": "vdes",  "mode": "offline", "download_id": "qwen3_tts_1_7b_voice_design", "min_vram_gb": 8,
+        { "id": "qwen3-tts-1.7b-vdesign", "display_name": "Qwen3-TTS 1.7B VoiceDesign (vdes)",     "family": "qwen3_tts",            "path": "models/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf", "task": "vdes",  "mode": "offline", "download_id": "qwen3_tts_1_7b_voicedesign_q8_0", "min_vram_gb": 8,
           "input_hint": "**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。", "input_hint_en": "**Qwen3-TTS VoiceDesign**: describe the desired voice, then enter the text to synthesize. No reference recording is required." },
         { "id": "fireredtts3-instruct-vdesign", "display_name": "FireRedTTS3 Instruct VoiceDesign", "family": "fireredtts3", "path": "models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf", "task": "vdes", "mode": "offline", "download_id": "fireredtts3_instruct_q8_0", "min_vram_gb": 8,
           "input_hint_en": "**FireRedTTS3 VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize." },
         { "id": "firered-audio-vdesign",  "display_name": "FireRedAudio VoiceDesign", "family": "firered_audio", "path": "models/FireRedAudio-GGUF/firered-audio-q8_0.gguf", "task": "vdes", "mode": "offline", "download_id": "firered_audio_q8_0", "min_vram_gb": 10,
           "input_hint_en": "**FireRedAudio VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize." },
-    { "id": "irodori-tts-vdesign",    "display_name": "Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)", "display_name_en": "Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)", "family": "irodori_tts", "path": "models/Irodori-TTS-v4-Small-GGUF", "task": "vdes", "mode": "offline", "download_id": "irodori_tts_v4_small_q8_0", "min_vram_gb": 4,
+    { "id": "irodori-tts-vdesign",    "display_name": "Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)", "display_name_en": "Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)", "family": "irodori_tts", "path": "models/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf", "task": "vdes", "mode": "offline", "download_id": "irodori_tts_v4_small_q8_0", "min_vram_gb": 4,
       "input_hint": "**Irodori-TTS v4 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。", "input_hint_en": "**Irodori-TTS v4 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required." },
-    { "id": "irodori-tts-v3-vdesign", "display_name": "Irodori-TTS 600M v3 VoiceDesign (vdes 日语)", "display_name_en": "Irodori-TTS 600M v3 VoiceDesign (ja vdes)", "family": "irodori_tts", "path": "models/Irodori-TTS-600M-v3-VoiceDesign-GGUF", "task": "vdes", "mode": "offline", "download_id": "irodori_tts_600m_v3_voicedesign_q8_0", "min_vram_gb": 4,
-      "input_hint": "**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。", "input_hint_en": "**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required." }
+    { "id": "irodori-tts-v3-vdesign", "display_name": "Irodori-TTS 600M v3 VoiceDesign (vdes 日语)", "display_name_en": "Irodori-TTS 600M v3 VoiceDesign (ja vdes)", "family": "irodori_tts", "path": "models/Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-q8_0.gguf", "task": "vdes", "mode": "offline", "download_id": "irodori_tts_600m_v3_voicedesign_q8_0", "min_vram_gb": 4,
+      "input_hint": "**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。", "input_hint_en": "**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required." },
+    { "id": "moss-voicegen",          "display_name": "MOSS-VoiceGenerator (voice design)",    "family": "moss_voicegen",        "path": "models/MOSS-VoiceGenerator-GGUF/moss_voicegen_bf16_codec_f16_decode.gguf",              "task": "vdes",  "mode": "offline", "download_id": "moss_voicegen_bf16_codec_f16_decode", "min_vram_gb": 8,
+      "input_hint_en": "**MOSS-VoiceGenerator**: Apache-2.0 voice design -- the speaker comes from a written description instead of a reference recording. The model reads the description from the `instruct` option, so pass it in the JSON box (for example {\"instruct\": \"A warm male radio voice in his fifties, calm.\"}); it also expects full language names such as English or Chinese rather than en/zh." }
   ]
 }
diff --git a/webui/native/dist/index.html b/webui/native/dist/index.html
index c30ce5757..39979e809 100644
--- a/webui/native/dist/index.html
+++ b/webui/native/dist/index.html
@@ -24,27 +24,35 @@
       })();
     </script>
     
-		<style>.media-preview.svelte-i4ds1n{display:grid;gap:7px;margin-top:8px;padding:8px;border:1px solid var(--line);border-radius:6px;background:var(--control-bg)}.media-preview-header.svelte-i4ds1n{display:flex;align-items:center;justify-content:space-between;gap:10px;font-size:11px}.media-preview-header.svelte-i4ds1n strong:where(.svelte-i4ds1n){flex:0 0 auto;color:var(--text)}.media-preview-header.svelte-i4ds1n span:where(.svelte-i4ds1n){min-width:0;overflow:hidden;color:var(--muted);text-overflow:ellipsis;white-space:nowrap}audio.svelte-i4ds1n{width:100%;height:38px}video.svelte-i4ds1n{width:100%;max-height:220px;border-radius:4px;background:#000}:root{font-family:Inter,ui-sans-serif,system-ui,-apple-system,BlinkMacSystemFont,Segoe UI,sans-serif;color:var(--text);background:var(--bg);font-synthesis:none;--bg: #07101f;--panel: #0d192b;--panel-2: #101f34;--line: #233652;--muted: #8ca3c3;--text: #dce8fa;--text-strong: #f4f8ff;--text-label: #b8cae4;--text-subtle: #9fbbdc;--text-invert: #041619;--cyan: #42e8d5;--blue: #6aa8ff;--danger: #ff778b;--body-glow: rgba(45, 107, 189, .2);--topbar-bg: rgba(7, 16, 31, .88);--panel-bg: linear-gradient(180deg, rgba(16,31,52,.98), rgba(11,23,40,.98));--control-bg: #081426;--control-border: #2a405f;--control-disabled: #45566f;--button-bg: #14243b;--button-hover-bg: #1a304e;--button-hover-border: #4f719d;--active-bg: #0d2934;--active-border: #347d8f;--card-bg: #081426;--code-bg: #071220;--icon-bg: #122b45;--file-button-bg: #a8c8f6;--chip-bg: #071426;--panel-shadow: rgba(0,0,0,.16);--folder-backdrop: rgba(2, 8, 17, .78);--footer-text: #607a9d}:root[data-theme=light]{--bg: #f6f8fb;--panel: #ffffff;--panel-2: #edf3fa;--line: #cbd7e6;--muted: #5e7189;--text: #182335;--text-strong: #0b1220;--text-label: #31435c;--text-subtle: #50657e;--text-invert: #041619;--cyan: #087f7a;--blue: #256fc9;--danger: #c43853;--body-glow: rgba(37, 111, 201, .12);--topbar-bg: rgba(246, 248, 251, .88);--panel-bg: linear-gradient(180deg, rgba(255,255,255,.98), rgba(243,247,252,.98));--control-bg: #ffffff;--control-border: #b8c7da;--control-disabled: #9aaabc;--button-bg: #edf3fa;--button-hover-bg: #dfeaf6;--button-hover-border: #94abc5;--active-bg: #e6f7f5;--active-border: #11857f;--card-bg: #ffffff;--code-bg: #f0f5fa;--icon-bg: #e4f1f6;--file-button-bg: #d6e7fb;--chip-bg: #edf3fa;--panel-shadow: rgba(31, 47, 70, .08);--folder-backdrop: rgba(16, 29, 44, .38);--footer-text: #6c7e93}*{box-sizing:border-box}body{margin:0;min-width:320px;min-height:100vh;background:radial-gradient(circle at 82% -10%,var(--body-glow),transparent 30rem),var(--bg)}button,input,textarea,select{font:inherit}button{color:inherit}.topbar{height:58px;padding:0 max(20px,calc((100vw - 1600px)/2));display:flex;align-items:center;gap:26px;border-bottom:1px solid var(--line);background:var(--topbar-bg);backdrop-filter:blur(18px);position:sticky;top:0;z-index:20}.brand{display:flex;align-items:center;gap:9px;min-width:190px}.brand 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var(--line);border-radius:8px;background:var(--control-bg);color:var(--text);cursor:pointer}.server-pill{padding:6px 10px;border:1px solid var(--line);border-radius:999px;color:var(--muted);font-size:11px;text-transform:uppercase}.server-pill i{display:inline-block;width:7px;height:7px;border-radius:50%;background:#64748b;margin-right:7px}.server-pill.online i{background:var(--cyan);box-shadow:0 0 12px var(--cyan)}main{max-width:1600px;margin:auto;padding:18px 20px 36px}.workflow-tabs{display:grid;grid-template-columns:repeat(7,minmax(126px,1fr));gap:6px;height:auto;margin:0 0 16px;overflow-x:auto;scrollbar-width:thin}.workflow-tabs button{display:flex;align-items:center;justify-content:space-between;gap:8px;min-width:126px;padding:8px 10px;border:1px solid var(--line);border-radius:8px;background:color-mix(in srgb,var(--panel) 88%,transparent);color:var(--muted);font-size:11px;text-align:left}.workflow-tabs button:hover,.workflow-tabs button.active{color:var(--text-strong);border-color:var(--active-border);background:var(--active-bg)}.workflow-tabs button.active{box-shadow:inset 0 -2px 0 var(--cyan)}.workflow-tabs small{display:grid;place-items:center;min-width:18px;height:18px;padding:0 5px;border-radius:999px;color:var(--text-subtle);background:var(--chip-bg);font-size:10px}.hero{display:flex;justify-content:space-between;align-items:center;gap:22px;padding:1px 4px 16px}.eyebrow{color:var(--cyan)!important;font-size:11px!important;font-weight:800;letter-spacing:.18em;margin:0 0 9px!important}h1{font-size:clamp(28px,3vw,40px);line-height:1;letter-spacing:-.04em;margin:0 0 8px;color:var(--text-strong)}.hero p,.page-head p{margin:0;max-width:720px;color:var(--muted);font-size:13px}.hero-stat{width:min(360px,32vw);padding:11px 14px;background:linear-gradient(135deg,color-mix(in srgb,var(--cyan) 10%,transparent),color-mix(in srgb,var(--blue) 5%,transparent));border:1px solid var(--line);border-radius:11px}.hero-stat span,.hero-stat small{display:block;color:var(--muted);font-size:11px;text-transform:uppercase;letter-spacing:.1em}.hero-stat strong{display:block;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;margin:3px 0 5px;font-size:14px}.hero-stat small.ready{color:var(--cyan)}.studio-grid{display:grid;grid-template-columns:255px minmax(390px,1.05fr) minmax(340px,.85fr);gap:11px;align-items:start}.panel{background:var(--panel-bg);border:1px solid var(--line);border-radius:11px;box-shadow:0 10px 32px var(--panel-shadow)}.model-rail,.controls,.output{padding:14px}.output{position:sticky;top:69px;min-height:470px}label{display:block;color:var(--text-label);font-size:11px;font-weight:650;margin:11px 0 5px}label:first-child{margin-top:0}label span{color:var(--muted);font-weight:400}.field-label{color:var(--text-label);font-size:11px;font-weight:650;margin:11px 0 5px}.field-label span{color:var(--muted);font-weight:400}input,textarea,select{width:100%;color:var(--text-strong);background:var(--control-bg);border:1px solid var(--control-border);border-radius:7px;padding:7px 9px;outline:none;transition:border .15s,box-shadow .15s;font-size:13px}textarea{resize:vertical;line-height:1.4}input:focus,textarea:focus,select:focus{border-color:var(--blue);box-shadow:0 0 0 3px #6aa8ff1f}select option:disabled{color:var(--control-disabled);background:var(--control-bg)}input.file{padding:6px;color:var(--muted)}input.file::file-selector-button{border:0;border-radius:5px;color:var(--text-invert);background:var(--file-button-bg);padding:5px 8px;margin-right:8px;cursor:pointer;font-weight:700}.file-native{position:absolute;width:1px!important;height:1px;padding:0!important;opacity:0;pointer-events:none}.file-picker{min-height:38px;display:flex;align-items:center;gap:10px;padding:5px 8px;border:1px solid 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The default auto mode derives a rescale value from guidance_scale; a numeric string requests an explicit value.",required:!1,default:"auto"},{name:"audio_chunk_threshold_sec",type:"float",description:"Estimated duration threshold that switches a request to long-form chunking; default 45.0 seconds.",required:!1,min:0,default:45},{name:"audio_chunk_duration_sec",type:"float",description:"Target estimated duration for each long-form chunk; default 37.0 seconds.",required:!1,min:0,default:37},{name:"cross_fade_duration_sec",type:"float",description:"Equal-power cross-fade between long-form chunks in seconds; default 0.05.",required:!1,min:0,default:.05},{name:"seed",type:"int",description:"Torch-compatible CUDA noise seed for diffusion sampling; default 42.",required:!1,min:0,default:42}],session:[{name:"perf_mode",type:"enum",description:"Attention implementation mode. 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Worth raising to 2 at 30+ steps, where the correction is still measured 8-10 times across the guided phase (roughly 1.3x fewer denoiser evaluations); not recommended below ~20 steps, where it is already coarsely sampled and staleness shows up as degraded timbre and text adherence.",required:!1,min:1,default:1}],session:[{name:"reference_duration_sec",type:"float",required:!1,description:"Trim the speaker reference to at most this many seconds before encoding. Shorter references are cheaper and often clone better; upstream's guidance favours around 10 s. Defaults to 15 s. Values above the trained maximum of 297.1 s are clamped. Set per request, or as a session default from CLI or server config.",default:15},{name:"reference_cache_slots",type:"int",required:!1,description:"How many encoded speaker references to keep. 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The current GGUF package does not include the Japanese phoneme table, so Japanese is not available."},{"id":"fireredtts3-instruct","display_name":"FireRedTTS3 Instruct Clone","family":"fireredtts3","path":"models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf","task":"clon","mode":"offline","download_id":"fireredtts3_instruct_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 Instruct Clone**: official Instruct `generate_tts` path. Upload a reference voice and provide the matching reference transcript. For no-reference voice design, use the VoiceDesign entry."},{"id":"fireredtts3-base","display_name":"FireRedTTS3 Base (voice clone)","family":"fireredtts3","path":"models/FireRedTTS3-Base-GGUF/fireredtts3-base-q8_0.gguf","task":"clon","mode":"offline","download_id":"fireredtts3_base_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 Base**: zero-shot voice cloning. Upload a reference voice and provide the matching reference transcript."},{"id":"firered-audio-tts","display_name":"FireRedAudio Clone","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"clon","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Clone**: upload a reference voice and provide the matching reference transcript. For no-reference voice design, use the VoiceDesign entry."},{"id":"supertonic","display_name":"Supertonic 3 (tts 预置音色/多语种)","display_name_en":"Supertonic 3 (tts, preset voices)","family":"supertonic","path":"models/supertonic-3","task":"tts","mode":"offline","download_id":"supertonic_3","min_vram_gb":2},{"id":"higgs-audio-tts","display_name":"Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)","display_name_en":"Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)","family":"higgs_audio_tts","path":"models/Higgs-Audio-v3-TTS-4B-GGUF","task":"tts","mode":"offline","download_id":"higgs_audio_v3_tts_4b","min_vram_gb":6,"input_hint":"**Higgs Audio v3 TTS**：Q8_0 GGUF 包（权重已量化，不用再设 weight_type）；上传参考音色即声音克隆，留空用默认音色；长文本自动分段。","input_hint_en":"**Higgs Audio v3 TTS**: Q8_0 GGUF package (already quantized — no weight_type needed). Upload a reference voice to clone, or leave it empty for the default voice; long text is chunked automatically."},{"id":"fish-audio-s2-pro","display_name":"Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)","display_name_en":"Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)","family":"fish_audio","path":"models/Fish-Audio-S2-Pro-GGUF","task":"tts","mode":"offline","download_id":"fish_audio_s2_pro","min_vram_gb":8,"input_hint":"**Fish Audio S2 Pro**：Q8_0 GGUF 包；中英+自动语种；上传参考音色即克隆；正文里可写行内控制标记（如 (laugh)）。","input_hint_en":"**Fish Audio S2 Pro**: Q8_0 GGUF package; English/Chinese plus auto language. Upload a reference voice to clone; inline control tags such as (laugh) can be written in the text."},{"id":"glm-tts","display_name":"GLM-TTS (tts 克隆, 社区)","display_name_en":"GLM-TTS (tts + clone, community)","family":"glm_tts","path":"models/GLM-TTS","task":"tts","mode":"offline","download_id":"glm_tts","min_vram_gb":8,"input_hint":"**GLM-TTS**（社区模型）：中英 TTS / voice clone；上传参考音色即克隆。","input_hint_en":"**GLM-TTS** (community): Chinese/English TTS and voice clone. Upload a reference voice to clone."},{"id":"outetts","display_name":"Llama-OuteTTS 1.0 1B (tts 克隆, 社区)","display_name_en":"Llama-OuteTTS 1.0 1B (tts + clone, community)","family":"outetts","path":"models/Llama-OuteTTS-1.0-1B","task":"tts","mode":"offline","download_id":"outetts_1_0_1b","min_vram_gb":4,"input_hint":"**OuteTTS 1.0 1B**（社区模型）：23 种语言，DAC 编解码；上传参考音色即克隆。","input_hint_en":"**OuteTTS 1.0 1B** (community): 23 languages, IBM DAC codec. Upload a reference voice to clone."},{"id":"vietneu-tts","display_name":"VieNeu-TTS v3 Turbo (tts 越南语, 社区)","display_name_en":"VieNeu-TTS v3 Turbo (vi tts, community)","family":"vietneu_tts","path":"models/VieNeu-TTS-v3-Turbo","task":"tts","mode":"offline","download_id":"vietneu_tts_v3_turbo","min_vram_gb":4,"input_hint":"**VieNeu-TTS v3 Turbo**（社区模型）：越南语 / 英语；上传参考音色即克隆。","input_hint_en":"**VieNeu-TTS v3 Turbo** (community): Vietnamese and English. Upload a reference voice to clone."},{"id":"inflect-v2","display_name":"Inflect Micro v2 (tts 英语, 社区)","display_name_en":"Inflect Micro v2 (en tts, community)","family":"inflect_v2","path":"models/Inflect-Micro-v2","task":"tts","mode":"offline","download_id":"inflect_micro_v2","min_vram_gb":2,"input_hint":"**Inflect Micro v2**（社区模型）：英语离线 TTS；Micro 是默认包，Nano 可通过模型管理器另装后手动选择路径。","input_hint_en":"**Inflect Micro v2** (community): English offline TTS. Micro is the default package; Nano can be installed separately and selected manually."},{"id":"dramabox","display_name":"DramaBox (tts 克隆, GGUF Q8)","display_name_en":"DramaBox (tts + clone, GGUF Q8)","family":"dramabox","path":"models/DramaBox-GGUF","task":"tts","mode":"offline","download_id":"dramabox_q8_0","min_vram_gb":16,"input_hint":"**DramaBox**：英语 TTS / voice clone；上传参考音色可克隆，长文本建议写清楚说话人描述。","input_hint_en":"**DramaBox**: English TTS and voice clone. Upload a reference voice to clone; for long text, keep speaker wording explicit."},{"id":"confucius4-tts","display_name":"Confucius4-TTS (voice clone, GGUF)","display_name_en":"Confucius4-TTS (voice clone, GGUF)","family":"confucius4_tts","path":"models/Confucius4-TTS-GGUF","task":"clon","mode":"offline","download_id":"confucius4_tts_orig","min_vram_gb":8,"input_hint":"**Confucius4-TTS**：需要参考音色；当前中文/英语路径更可靠，非中英语种仍在验证中。","input_hint_en":"**Confucius4-TTS**: requires a reference voice. Chinese/English are the most reliable paths; other languages are still being validated."},{"id":"echo-tts","display_name":"Echo-TTS (voice clone)","family":"echo_tts","path":"models/Echo-TTS-GGUF","task":"clon","mode":"offline","download_id":"echo_tts_q8_0","min_vram_gb":8,"input_hint_en":"**Echo-TTS**: English zero-shot cloning at 44.1 kHz. Upload a reference voice -- no transcript needed. Output is CC-BY-NC-SA and may not be used commercially."},{"id":"chatterbox","display_name":"Chatterbox (voice clone)","family":"chatterbox","path":"models/chatterbox","task":"clon","mode":"offline","download_id":"chatterbox","min_vram_gb":12},{"id":"ace-step","display_name":"ACE-Step 1.5 (music gen)","family":"ace_step","path":"models/Ace-Step1.5","task":"gen","mode":"offline","download_id":"ace_step","session_options":{"ace_step.mem_saver":"true","ace_step.dit_weight_type":"q8_0","ace_step.text_encoder_weight_type":"q8_0","ace_step.planner_weight_type":"q8_0"},"min_vram_gb":8},{"id":"minimax-music3","display_name":"MiniMax-Music3 (song gen)","family":"minimax_music3","path":"models/MiniMax-Music3-GGUF","task":"gen","mode":"offline","download_id":"minimax_music3_q4_0","min_vram_gb":12},{"id":"stable-audio-small-music","display_name":"Stable Audio 3 Small Music (gen)","family":"stable_audio","path":"models/stable-audio-3-small-music","task":"gen","mode":"offline","download_id":"stable_audio_3_small_music","min_vram_gb":4},{"id":"stable-audio-small-sfx","display_name":"Stable Audio 3 Small SFX (gen)","family":"stable_audio","path":"models/stable-audio-3-small-sfx","task":"gen","mode":"offline","download_id":"stable_audio_3_small_sfx","min_vram_gb":4},{"id":"stable-audio-medium","display_name":"Stable Audio 3 Medium (gen)","family":"stable_audio","path":"models/stable-audio-3-medium","task":"gen","mode":"offline","download_id":"stable_audio_3_medium","session_options":{"stable_audio.mem_saver":"true"},"min_vram_gb":10},{"id":"heartmula","display_name":"HeartMuLa 3B (music gen)","family":"heartmula","path":"models/HeartMuLa","task":"gen","mode":"offline","download_id":"heartmula","session_options":{"heartmula.mem_saver":"true"},"min_vram_gb":24},{"id":"minimax-h3","display_name":"MiniMax-H3 Q4 (sound generation)","family":"minimax_h3","path":"models/MiniMax-H3-Q4-GGUF/dit.gguf","task":"gen","mode":"offline","download_id":"minimax_h3","min_vram_gb":20,"default_options":{"num_inference_steps":12,"height":32,"width":32,"num_frames":241,"guidance_scale":1,"dit_acceleration":"none","return_video":false},"input_hint_en":"MiniMax-H3 uses a joint audio/video DiT. The default Q4 DiT is the quality-first choice; the optional CUDA-only INT8 ConvRot DiT trades slightly more VRAM for higher speed. Native Studio uses 12 denoising steps, a 32x32 latent canvas, quality-first full-DiT execution, and disables video decoding for practical audio-only generation on a 24 GB GPU."},{"id":"midashenglm-gen","display_name":"MiDashengLM-Gen (audio generation)","family":"midashenglm_gen","path":"models/MiDashengLM-Gen-GGUF/midashenglm-gen-q8_0.gguf","task":"gen","mode":"offline","download_id":"midashenglm_gen_q8_0","min_vram_gb":8,"input_hint_en":"**MiDashengLM-Gen**: text-conditioned audio generation. The duration field controls the generation budget."},{"id":"controlfoley","display_name":"ControlFoley (Foley/SFX)","family":"controlfoley","path":"models/ControlFoley-GGUF/controlfoley-large-44k-q8_0.gguf","task":"gen","mode":"offline","download_id":"controlfoley_large_44k_q8_0","min_vram_gb":12,"request_options":["video"],"input_hint_en":"**ControlFoley**: Foley generation from text, video, text+video, audio+video, or video only. Upload video in the Video field; upload source audio for AC-V2A."},{"id":"firered-audio-semantic-edit","display_name":"FireRedAudio Semantic Edit","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"gen","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Semantic Edit**: upload source audio and describe the content edit in Model parameters."},{"id":"firered-audio-acoustic-edit","display_name":"FireRedAudio Acoustic Edit","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"gen","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Acoustic Edit**: upload source audio and use a trained acoustic instruction such as `shift the pitch by 3 steps`."},{"id":"qwen3-asr","display_name":"Qwen3-ASR 0.6B (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-0.6B","task":"asr","mode":"offline","download_id":"qwen3_asr_0_6b","min_vram_gb":3},{"id":"qwen3-asr-1.7b","display_name":"Qwen3-ASR 1.7B HF (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-1.7B-hf","task":"asr","mode":"offline","download_id":"qwen3_asr_1_7b_hf","min_vram_gb":6,"input_hint":"**Qwen3-ASR 1.7B**（HF 原生权重，免转换）：精度高于 0.6B；长音频自动分段转写；8G 卡显存偏紧，长音频建议先短段试跑。","input_hint_en":"**Qwen3-ASR 1.7B**: native Hugging Face weights with no conversion required. It is more accurate than the 0.6B model and automatically chunks long audio; test short clips first on an 8 GB GPU."},{"id":"citrinet-asr","display_name":"Citrinet ASR (asr)","family":"citrinet_asr","path":"models/citrinet","task":"asr","mode":"offline","download_id":"citrinet_asr","min_vram_gb":2},{"id":"nemotron-asr","display_name":"Nemotron 3.5 ASR 0.6B (asr, 100+语种)","display_name_en":"Nemotron 3.5 ASR 0.6B (asr, 100+ languages)","family":"nemotron_asr","path":"models/nemotron-3.5-asr-streaming-0.6b","task":"asr","mode":"offline","download_id":"nemotron_asr","min_vram_gb":4,"input_hint":"**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。","input_hint_en":"**Nemotron ASR**: supports more than 100 languages using BCP-47 codes such as en-US or zh-CN. Leave language blank for automatic detection; long audio is handled by the model."},{"id":"higgs-audio-stt","display_name":"Higgs Audio v3 STT (asr, 英语)","display_name_en":"Higgs Audio v3 STT (asr, English)","family":"higgs_audio_stt","path":"models/higgs-audio-v3-stt","task":"asr","mode":"offline","download_id":"higgs_audio_stt","min_vram_gb":8,"input_hint":"**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。","input_hint_en":"**Higgs Audio STT**: English transcription. The text box accepts an instruction; offline mode automatically chunks long audio."},{"id":"hviske-asr","display_name":"Hviske v5.3 (asr, 丹麦语)","display_name_en":"Hviske v5.3 (asr, Danish)","family":"hviske_asr","path":"models/hviske-v5.3","task":"asr","mode":"offline","download_id":"hviske_asr","min_vram_gb":6,"input_hint":"**Hviske ASR**：丹麦语专用；模型侧自动分段。","input_hint_en":"**Hviske ASR**: dedicated Danish transcription with automatic model-side segmentation."},{"id":"vibevoice-asr","display_name":"VibeVoice ASR (asr, 多语种+说话人分段)","display_name_en":"VibeVoice ASR (asr, multilingual + speaker turns)","family":"vibevoice_asr","path":"models/VibeVoice-ASR","task":"asr","mode":"offline","download_id":"vibevoice_asr","min_vram_gb":20,"input_hint":"**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。","input_hint_en":"**VibeVoice ASR**: automatic language detection with segment and speaker-turn output. The text box accepts a context prompt. Its 17.3 GB weights require substantially more than 8 GB VRAM."},{"id":"voxtral-realtime","display_name":"Voxtral Mini 4B Realtime (asr, 自动语种+流式)","display_name_en":"Voxtral Mini 4B Realtime (asr, auto + streaming)","family":"voxtral_realtime","path":"models/Voxtral-Mini-4B-Realtime-2602-GGUF","task":"asr","mode":"offline","download_id":"voxtral_realtime","min_vram_gb":8},{"id":"fun-asr-nano","display_name":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","display_name_en":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","family":"fun_asr_nano","path":"models/Fun-ASR-Nano-2512-GGUF","task":"asr","mode":"offline","download_id":"fun_asr_nano_2512_q8_0","min_vram_gb":4,"input_hint":"**Fun-ASR-Nano**：轻量离线 ASR；支持 auto/中文/英语/日语。","input_hint_en":"**Fun-ASR-Nano**: lightweight offline ASR; supports auto, Chinese, English and Japanese."},{"id":"parakeet-tdt","display_name":"Parakeet-TDT 0.6B v3 (asr, 流式)","display_name_en":"Parakeet-TDT 0.6B v3 (asr + streaming)","family":"parakeet_tdt","path":"models/parakeet-tdt-0.6b-v3","task":"asr","mode":"offline","download_id":"parakeet_tdt","min_vram_gb":4,"input_hint":"**Parakeet-TDT**：离线/长音频/流式 ASR；支持多种欧洲语言，留空=自动。","input_hint_en":"**Parakeet-TDT**: offline, long-form and streaming ASR for many European languages; leave language empty for auto."},{"id":"kroko-asr","display_name":"Kroko Community ASR (asr, GGUF Q8)","display_name_en":"Kroko Community ASR (asr, GGUF Q8)","family":"kroko_asr","path":"models/Kroko-ASR-GGUF","task":"asr","mode":"offline","download_id":"kroko_asr_community_q8_0","min_vram_gb":4,"input_hint":"**Kroko Community ASR**：GGUF Q8 包；离线转写，支持时间戳。","input_hint_en":"**Kroko Community ASR**: GGUF Q8 package for offline transcription with timestamps."},{"id":"granite5asr","display_name":"Granite Speech 5.0 470M TurboCTC (asr)","display_name_en":"Granite Speech 5.0 470M TurboCTC (asr)","family":"granite5asr","path":"granite5asr","task":"asr","mode":"offline","download_id":"granite5asr_q8_0","min_vram_gb":4,"input_hint":"**Granite Speech 5.0 TurboCTC**：IBM 470M 英语 ASR；超快 Conformer CTC 转写；支持长音频自动分段与流式模式。","input_hint_en":"**Granite Speech 5.0 TurboCTC**: IBM 470M English ASR with ultra-fast Conformer CTC architecture, supporting long-form audio segmentation and streaming mode."},{"id":"sense-asr","display_name":"SenseVoice-Small (asr, 流式, 社区)","display_name_en":"SenseVoice-Small (asr + streaming, community)","family":"sense_asr","path":"models/SenseVoice-Small-GGUF","task":"asr","mode":"offline","download_id":"sensevoice_small_q8","min_vram_gb":4,"input_hint":"**SenseVoice-Small**（社区模型）：多语种 ASR，事件/情感/语言标签，ITN 可开关；离线与流式模式。","input_hint_en":"**SenseVoice-Small** (community): multilingual ASR with event/emotion/language tags, optional ITN; offline and streaming modes."},{"id":"firered-audio-asr","display_name":"FireRedAudio (ASR / audio QA)","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"asr","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio ASR**: upload audio, then use the text box as the transcription or audio-understanding instruction."},{"id":"chatterbox-vc","display_name":"Chatterbox (vc 声音转换)","display_name_en":"Chatterbox (voice conversion)","family":"chatterbox","path":"models/chatterbox","task":"vc","mode":"offline","download_id":"chatterbox","min_vram_gb":12,"input_hint":"**Chatterbox VC**：上传源语音和目标音色参考；模型保留源语音内容，将说话人音色转换为目标音色，输出 24kHz 单声道。","input_hint_en":"**Chatterbox VC**: upload source speech and a target-voice reference. It preserves the source content and converts the speaker identity; output is 24 kHz mono."},{"id":"meanvc2","display_name":"MeanVC2 (voice conversion)","display_name_en":"MeanVC2 (voice conversion)","family":"meanvc2","path":"models/MeanVC2-GGUF/meanvc2-120ms-40ms-fp32.gguf","task":"vc","mode":"offline","download_id":"meanvc2_120ms_40ms_f32","min_vram_gb":6,"input_hint":"**MeanVC2**：上传源语音和目标音色参考；默认 120 ms / 40 ms checkpoint 使用 F32 GGUF。","input_hint_en":"**MeanVC2**: upload source speech and a target-voice reference. The default 120 ms / 40 ms checkpoint uses F32 GGUF."},{"id":"vevo2","display_name":"Vevo2 (vc 语音转换, GGUF Q8)","display_name_en":"Vevo2 (voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"vc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6},{"id":"vevo2-svc","display_name":"Vevo2 (svc 歌声转换, GGUF Q8)","display_name_en":"Vevo2 (singing voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"svc","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。","input_hint_en":"**Vevo2 singing conversion**: upload source singing and a target-singer reference. The default route is style_preserved_svc; style-conversion routes also accept style_ref, style_ref_text and target_text in Additional options."},{"id":"vevo2-s2s","display_name":"Vevo2 (s2s 语音编辑, GGUF Q8)","display_name_en":"Vevo2 (speech editing, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF","task":"s2s","mode":"offline","download_id":"vevo2_gguf","min_vram_gb":6,"input_hint":"**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\\"target_text\\": \\"替换后的完整句子\\"}`（编辑保持原说话人音色，可不上传目标音色）。","input_hint_en":"**Vevo2 speech editing**: upload source speech and set target_text to the complete replacement sentence in Additional options. Editing preserves the original speaker and does not require a target-voice reference."},{"id":"seed-vc","display_name":"Seed-VC (vc 语音转换)","display_name_en":"Seed-VC (voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"vc","mode":"offline","download_id":"seed_vc","min_vram_gb":4},{"id":"seed-vc-svc","display_name":"Seed-VC (svc 歌声转换)","display_name_en":"Seed-VC (singing voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX","task":"svc","mode":"offline","download_id":"seed_vc","min_vram_gb":4,"input_hint":"**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。","input_hint_en":"**Seed-VC singing conversion**: upload source singing and a target-singer reference. The default route is v1_svc with F0 conditioning."},{"id":"rvc","display_name":"RVC (vc, GGUF F16)","display_name_en":"RVC (voice conversion, GGUF F16)","family":"rvc","path":"models/RVC-GGUF","task":"vc","mode":"offline","download_id":"rvc_f16","min_vram_gb":4,"input_hint":"**RVC**：所选 GGUF 即目标音色；上传源语音即可转换；索引/音高等选项可用 JSON 传。","input_hint_en":"**RVC**: the selected GGUF is the target voice; upload source speech to convert. Index and pitch options can be passed through the JSON box."},{"id":"miocodec","display_name":"MioCodec (vc; codec dependency)","family":"miocodec","path":"models/MioCodec-25Hz-44.1kHz-v2","task":"vc","mode":"offline","download_id":"miocodec_25hz_44k_v2","min_vram_gb":3},{"id":"personaplex","display_name":"PersonaPlex 7B v1 (speech conversation)","display_name_en":"PersonaPlex 7B v1 (speech conversation)","family":"personaplex","path":"models/PersonaPlex-GGUF","task":"s2s","mode":"offline","download_id":"personaplex_7b_v1_q4_k","min_vram_gb":8,"request_options":["voice_id","system_prompt","temperature","text_temperature","top_k","text_top_k","do_sample","seed"],"input_hint":"**PersonaPlex**：上传用户语音，模型返回语音回复；文本框可填写 assistant system/persona prompt；`voice_id` 选择打包音色，也可上传参考音色覆盖。","input_hint_en":"**PersonaPlex**: upload user speech and receive a spoken response. The text box provides the assistant system/persona prompt; `voice_id` selects a packaged voice, and an uploaded reference voice overrides it."},{"id":"audiosr","display_name":"AudioSR (audio super-resolution)","family":"audiosr","path":"models/AudioSR-GGUF/audiosr-basic-f32.gguf","task":"s2s","mode":"offline","download_id":"audiosr_basic_f32","min_vram_gb":8,"input_hint_en":"**AudioSR**: upload a source audio file to generate a super-resolved output."},{"id":"htdemucs","display_name":"HTDemucs (sep 音源分离)","display_name_en":"HTDemucs (source separation)","family":"htdemucs","path":"models/htdemucs","task":"sep","mode":"offline","download_id":"htdemucs","min_vram_gb":3},{"id":"bs-roformer","display_name":"BS-RoFormer (sep 人声分离)","display_name_en":"BS-RoFormer (vocal separation)","family":"bs_roformer","path":"models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf","task":"sep","mode":"offline","download_id":"bs_roformer_q8_0","min_vram_gb":3},{"id":"mel-band-roformer","display_name":"Mel-Band RoFormer (sep 人声分离)","display_name_en":"Mel-Band RoFormer (vocal separation)","family":"mel_band_roformer","path":"models/mel-roformer-mlx","task":"sep","mode":"offline","download_id":"mel_band_roformer","min_vram_gb":3},{"id":"silero-vad","display_name":"Silero VAD (vad, bundled)","family":"silero_vad","path":"assets/framework/models/silero_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"marblenet-vad","display_name":"MarbleNet VAD (vad, bundled)","family":"marblenet_vad","path":"assets/framework/models/marblenet_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"sortformer-diar","display_name":"Sortformer Diarization 4spk (diar)","family":"sortformer_diar","path":"models/diar_sortformer_4spk-v1","task":"diar","mode":"offline","download_id":"sortformer_diar_4spk_v1","min_vram_gb":2},{"id":"qwen3-forced-aligner","display_name":"Qwen3 Forced Aligner (align)","family":"qwen3_forced_aligner","path":"models/Qwen3-ForcedAligner-0.6B","task":"align","mode":"offline","download_id":"qwen3_forced_aligner_0_6b","min_vram_gb":3},{"id":"muscriptor-small","display_name":"MuScriptor Small (audio to MIDI)","family":"muscriptor","path":"models/MuScriptor-Small-GGUF","task":"midi","mode":"offline","download_id":"muscriptor_small_f32","min_vram_gb":4},{"id":"qwen3-tts-1.7b-vdesign","display_name":"Qwen3-TTS 1.7B VoiceDesign (vdes)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-VoiceDesign","task":"vdes","mode":"offline","download_id":"qwen3_tts_1_7b_voice_design","min_vram_gb":8,"input_hint":"**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。","input_hint_en":"**Qwen3-TTS VoiceDesign**: describe the desired voice, then enter the text to synthesize. No reference recording is required."},{"id":"fireredtts3-instruct-vdesign","display_name":"FireRedTTS3 Instruct VoiceDesign","family":"fireredtts3","path":"models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf","task":"vdes","mode":"offline","download_id":"fireredtts3_instruct_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize."},{"id":"firered-audio-vdesign","display_name":"FireRedAudio VoiceDesign","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"vdes","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize."},{"id":"irodori-tts-vdesign","display_name":"Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v4 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."},{"id":"irodori-tts-v3-vdesign","display_name":"Irodori-TTS 600M v3 VoiceDesign (vdes 日语)","display_name_en":"Irodori-TTS 600M v3 VoiceDesign (ja vdes)","family":"irodori_tts","path":"models/Irodori-TTS-600M-v3-VoiceDesign-GGUF","task":"vdes","mode":"offline","download_id":"irodori_tts_600m_v3_voicedesign_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."}]')},qh={echo_tts:[{name:"num_inference_steps",type:"slider",label:"num_inference_steps",label_en:"Sampling steps",default:40,minimum:8,maximum:40,step:1,precision:0,info:"Euler sampler steps."},{name:"text_guidance_scale",type:"slider",label:"text_guidance_scale",label_en:"Text guidance",default:3,minimum:0,maximum:10,step:.1},{name:"speaker_guidance_scale",type:"slider",label:"speaker_guidance_scale",label_en:"Speaker guidance",default:8,minimum:0,maximum:15,step:.1},{name:"truncation_factor",type:"slider",label:"truncation_factor",label_en:"Noise truncation",default:.8,minimum:0,maximum:1,step:.05},{name:"guidance_interval",type:"slider",label:"guidance_interval",label_en:"Guidance interval",default:1,minimum:1,maximum:3,step:1,precision:0,info:"Refresh the unconditional CFG lanes every Nth guided step. Higher is faster and works best with more steps; 1 is highest fidelity."},{name:"reference_duration_sec",type:"slider",label:"reference_duration_sec",label_en:"Reference trim (s)",default:15,minimum:1,maximum:60,step:1,info:"Trim the speaker reference before encoding. Around 10 s usually clones best."},{name:"seed",type:"number",label:"seed",label_en:"Seed",default:0,minimum:0,step:1,precision:0}],_comment:"WebUI TTS 高级参数控件配置：按模型 family 动态生成控件（gr.render）。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/info=显示文案；default=默认值(应等于模型默认，已按 src/models/<family>/*.cpp 校对)；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。规则：只有被用户改动过的控件值才会随请求发送；seed/max_tokens 已有专用输入框，勿在此重复；参考文本用『参考文本』框(reference_text)；文件路径/parity 类参数(如 *_noise_file)未纳入，可用『其它参数(JSON)』兜底框传。",qwen3_tts:[{name:"temperature",type:"slider",label:"temperature",default:.9,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.05,minimum:1,maximum:2,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"instruct",type:"text",label:"instruct（仅 VoiceDesign/CustomVoice）",default:"",placeholder:"风格/音色指令，Base 版忽略"},{name:"speaker",type:"text",label:"speaker（仅 CustomVoice）",default:"",placeholder:"内置音色名，其它版忽略"}],vibevoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"扩散步数（官方默认 10），越大越慢越稳"},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1.3,minimum:0,maximum:5,step:.1,info:"CFG 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Questo tipo di voce non richiede testo di riferimento.","arena.voice.targetSpeaker":"Audio parlante target","arena.voice.clearTarget":"Cancella target","arena.voice.clearReference":"Cancella riferimento","arena.options.shared":"Opzioni condivise","arena.queue.label":"Coda","arena.queue.title":"Modelli","arena.queue.add":"Aggiungi","arena.queue.remove":"Rimuovi","arena.queue.clear":"Cancella","arena.queue.empty":"Aggiungi modelli installati o pacchetti di precisione da confrontare.","arena.run":"Esegui arena","arena.package.label":"Pacchetto","arena.package.configured":"Configurato","arena.results.title":"Confronta output","arena.results.empty":"Nessun risultato arena.","arena.metric.wall":"tempo","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"in coda","arena.itemStatus.loading":"caricamento","arena.itemStatus.running":"esecuzione","arena.itemStatus.done":"completato","arena.itemStatus.failed":"fallito","arena.itemStatus.skipped":"saltato","arena.status.duplicate":"{model} {package} è già nell'arena.","arena.status.loadingModel":"Caricamento modello","arena.status.runningRequest":"Esecuzione richiesta","arena.status.addModel":"Aggiungi almeno un modello all'arena.","arena.status.running":"Esecuzione arena {mode}...","arena.status.complete":"Esecuzione arena completata.","arena.note.skippedTargetVoice":"Saltato perché questo modello VC richiede audio del parlante target.","arena.note.skippedReferenceText":"Saltato perché questo modello richiede testo di riferimento per l'input voce selezionato.","arena.note.builtinVoice":"Voce integrata usata: {voice}.","arena.note.referenceVoice":"Voce di riferimento usata.","arena.note.referenceUnsupported":"Voce predefinita usata; la voce di riferimento non è supportata.","arena.note.defaultVoice":"Voce predefinita usata: {voice}.","arena.note.skippedReferenceVoice":"Saltato perché questo modello richiede una voce di riferimento.","arena.error.seed":"Il seed deve essere -1 o un intero unsigned a 32 bit (0-4294967295).","arena.error.jsonObject":"deve essere un oggetto","arena.error.invalidJson":"JSON opzioni arena non valido: {error}","arena.error.unregistered":"Il modello configurato non è registrato da questo server.","arena.error.notDownloaded":"{package} non è scaricato.","arena.error.loadFailed":"Il modello non è stato caricato.","arena.error.missingCatalog":"Il modello non è più nel catalogo.","arena.error.enterTtsText":"Inserisci testo per l'arena TTS.","arena.error.chooseAsrSource":"Scegli audio sorgente per l'arena ASR.","arena.error.chooseVcSource":"Scegli audio sorgente per l'arena VC.","arena.error.noAudio":"La risposta non include audio.","request.alignmentText":"Testo di allineamento","request.context":"Prompt di contesto","request.contextHint":"terminologia o nomi opzionali","request.duration":"Durata in secondi","request.liveDescription":"Elabora richieste consecutive di quattro secondi usando la modalità streaming del modello.","request.liveTitle":"Trascrizione microfono in diretta","request.lyrics":"Testo della canzone","request.optional":"opzionale","request.recordingMicrophone":"Registrazione microfono","request.soundPlaceholder":"Descrivi il suono o la musica…","request.startLive":"Avvia diretta","request.stopLive":"Ferma diretta","request.stopRecording":"Ferma registrazione","request.textPlaceholder":"Inserisci il testo…","request.voiceDescription":"Descrizione della voce","request.voiceDescriptionPlaceholder":"Una voce calda e calma con ritmo misurato…","result.track":"traccia","result.tracks":"tracce","runtime.eyebrow":"RUNTIME","runtime.subtitle":"Eventi del ciclo di vita e delle richieste nel browser.","status.ready":"Pronto","studio.estimatedVram":"VRAM stimata: {value} GB","studio.vram":"VRAM —","task.align":"Allineamento forzato","task.asr":"Trascrizione","task.clon":"Clonazione vocale","task.diar":"Diarizzazione parlanti","task.gen":"Generazione musicale","task.s2s":"Modifica del parlato","task.sep":"Separazione sorgenti","task.svc":"Conversione della voce cantata","task.tts":"Sintesi vocale","task.vad":"Attività vocale","task.vc":"Conversione vocale","task.vdes":"Progettazione voce","voice.bundledNote":"L'audio di riferimento incluso e la relativa trascrizione vengono forniti automaticamente.","voice.namePlaceholder":"La mia voce di riferimento","voice.recommendedClone":"consigliata per la clonazione","voice.recording":"Registrazione voce di riferimento","voice.requiredClone":"obbligatoria per questa clonazione vocale","voice.transcriptPlaceholder":"Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente."}`)},Vh={code:"pl",name:"Polski",translations:JSON.parse('{"request.minimaxFrames":"{frames} wyrównanych klatek wyjściowych","param.minimax_h3.num_inference_steps.label":"Kroki odszumiania","param.minimax_h3.num_inference_steps.info":"Dwanaście kroków odszumiania zapewnia praktyczną równowagę jakości i wydajności.","param.minimax_h3.num_frames.label":"Klatki wyjściowe","param.minimax_h3.num_frames.info":"Obliczane z czasu trwania przy około 24 klatkach na sekundę wyjścia. Zmiana liczby klatek aktualizuje również czas trwania.","param.minimax_h3.guidance_scale.label":"Skala naprowadzania","param.minimax_h3.sampler.label":"Próbnik","param.minimax_h3.dit_acceleration.label":"Przyspieszenie DiT","param.minimax_h3.dit_acceleration.info":"None używa pełnej ścieżki DiT nastawionej na jakość. Tryby przyspieszone są eksperymentalne i mogą zniekształcać niektóre wyniki.","param.minimax_h3.return_video.label":"Dekoduj wideo","param.minimax_h3.return_video.info":"Domyślnie wyłączone, aby zmniejszyć zużycie pamięci i zwracać tylko dźwięk.","model.minimax_h3.hint":"MiniMax-H3 korzysta ze wspólnego DiT audio/wideo. GGUF Q4 stawia na jakość; dostępny tylko dla CUDA GGUF Q4 ConvRot używa nieco więcej VRAM, aby działać szybciej. Domyślna pełna ścieżka DiT nadaje priorytet jakości dźwięku, a dekodowanie wideo jest wyłączone.","status.modelReady":"{model} jest załadowany i gotowy.","status.runningTask":"Uruchamianie: {task}...","status.completeIn":"Ukończono w {seconds} s.","status.packageAvailable":"{model} użyje {format}. Model jest dostępny w Studio.","app.nativeStudio":"Studio natywne","nav.studio":"Studio","nav.arena":"Arena","nav.models":"Modele","nav.runtime":"Środowisko","language.label":"Język interfejsu","theme.label":"Motyw","theme.system":"System","theme.dark":"Ciemny","theme.light":"Jasny","workflow.tts":"Synteza mowy","workflow.asr":"ASR / Transkrypcja","workflow.music":"Generowanie muzyki","workflow.vc":"Konwersja głosu","workflow.sep":"Separacja źródeł","workflow.analysis":"Analiza dźwięku","workflow.design":"Projektowanie głosu","studio.eyebrow":"LOKALNA INTELIGENCJA AUDIO","studio.title":"Studio audio","studio.subtitle.tts":"Generuj naturalną mowę z tekstu, korzystając z gotowych głosów i klonowania, gdy model je obsługuje.","studio.subtitle.asr":"Transkrybuj mowę z nagrań na tekst, korzystając z ustawień języka i znaczników czasu, gdy są obsługiwane.","studio.subtitle.music":"Twórz muzykę i dźwięki na podstawie opisu, tekstu piosenki lub nagrania referencyjnego.","studio.subtitle.vc":"Przekształcaj nagranie w inny głos, zachowując sposób mówienia lub śpiewania.","studio.subtitle.sep":"Rozdzielaj nagranie na wokal, instrumenty lub inne dostępne ścieżki.","studio.subtitle.analysis":"Analizuj aktywność mowy, mówców, czas i wyrównanie nagrania.","studio.subtitle.design":"Twórz lub dopracowuj głos na podstawie opisu i obsługiwanych ustawień referencyjnych.","studio.model":"Model","studio.noModel":"Nie wybrano modelu","studio.resident":"Załadowany","studio.notInstalled":"Nie zainstalowano","studio.available":"Dostępny","studio.chooseInstalled":"Wybierz zainstalowany model","studio.notDownloaded":"nie pobrano","studio.pathFound":"Ścieżka znaleziona","studio.pathMissing":"Brak ścieżki","studio.pathUnknown":"Ścieżka niesprawdzona","studio.load":"Załaduj model","studio.unload":"Wyładuj model","studio.working":"Przetwarzanie…","studio.bundledLoaded":"Wbudowany · załadowany","request.label":"ŻĄDANIE","request.title":"Dane wejściowe i ustawienia","request.prompt":"Polecenie","request.text":"Tekst","request.splitLongText":"Dziel i łącz długi tekst","request.charactersPerChunk":"Znaki na fragment","request.language":"Język","request.autoLanguage":"puste = automatycznie","request.seed":"Ziarno","request.randomSeed":"-1 = losowe","request.maxTokens":"Maksymalna liczba tokenów","request.sourceAudio":"Dźwięk źródłowy","request.recordMicrophone":"Nagraj mikrofon","voice.quickStart":"Szybkie głosy demonstracyjne","voice.useReference":"Użyj pliku dźwiękowego poniżej","voice.reference":"Głos referencyjny","voice.required":"wymagany","voice.optional":"opcjonalny","voice.referenceText":"Tekst referencyjny","voice.transcript":"Transkrypcja referencyjna","voice.saved":"Zapisane głosy","voice.browserOnly":"tylko w tej przeglądarce","voice.chooseSaved":"Wybierz zapisany głos...","voice.libraryName":"Nazwa w bibliotece","voice.save":"Zapisz głos","common.delete":"Usuń","common.cancel":"Anuluj","common.close":"Zamknij","common.refresh":"Odśwież","common.browse":"Przeglądaj","common.apply":"Zastosuj","options.modelParameters":"Parametry modelu","options.additional":"Dodatkowe opcje","run.run":"Uruchom","run.cancel":"Anuluj","run.working":"Przetwarzanie…","result.title":"Wynik","result.label":"WYNIK","result.saveWav":"Zapisz WAV","result.empty":"W tym miejscu pojawi się wygenerowany dźwięk i wyniki strukturalne.","models.eyebrow":"BIBLIOTEKA MODELI","models.title":"Pakiety lokalne","models.subtitle":"Pobieraj i zarządzaj pakietami modeli bez opuszczania interfejsu.","models.folder":"Folder modeli","models.useDefault":"Użyj domyślnego","models.showTypes":"Pokaż typy modeli","models.stopDownload":"Zatrzymaj pobieranie","models.cleanPartial":"Usuń częściowe pobieranie","runtime.title":"Dziennik sesji","runtime.status":"Stan","runtime.backend":"Backend","runtime.registered":"Zarejestrowane","runtime.resident":"Załadowane","runtime.noEvents":"Brak zdarzeń.","folder.title":"Wybierz folder","folder.up":"Poziom wyżej","folder.select":"Wybierz ten folder","common.applying":"Stosowanie…","common.disabled":"Wyłączone","common.enabled":"Włączone","file.choose":"Wybierz plik","file.none":"Nie wybrano pliku","folder.closeLabel":"Zamknij przeglądarkę folderów","folder.empty":"Ten folder nie zawiera podfolderów.","folder.eyebrow":"FOLDER MODELI","folder.loading":"Ładowanie...","folder.loadingFolders":"Ładowanie folderów...","footer.embedded":"SvelteKit · wbudowany w audiocpp_server","models.checkingSize":"sprawdzanie rozmiaru…","models.default":"Domyślnie","models.downloaded":"Pobrano","models.folderHint":"pobieranie, wykrywanie lokalne i ładowanie modeli","models.folderPlaceholder":"folder models obok audiocpp_server","models.hfAccess":"Wymagany dostęp do HF","models.model":"model","models.queued":"w kolejce","models.reinstall":"Zainstaluj ponownie","models.selected":"Wybrano","models.sharedPackage":"Używa wspólnego pakietu {name} pokazanego powyżej.","models.sizeUnavailable":"rozmiar niedostępny","models.stopping":"zatrzymywanie","models.update":"Aktualizuj","models.updateAvailable":"Dostępna aktualizacja","models.upToDate":"Aktualny","models.variants":"warianty","models.versionUnknown":"Nieznana wersja","nav.primary":"Główna nawigacja","nav.workflows":"Przepływy pracy audio","arena.eyebrow":"ARENA","arena.title.tts":"Porównanie TTS","arena.title.vc":"Porównanie konwersji głosu","arena.title.asr":"Porównanie ASR","arena.subtitle":"Uruchamia ten sam input na wybranych zainstalowanych modelach i wariantach pakietów, jeden po drugim.","arena.subtitle.tts":"Uruchamia ten sam tekst na wybranych modelach TTS i wariantach pakietów.","arena.subtitle.vc":"Uruchamia to samo audio źródłowe na wybranych modelach konwersji głosu.","arena.subtitle.asr":"Uruchamia to samo audio źródłowe na wybranych modelach ASR i porównuje transkrypcje.","arena.mode.tts":"TTS","arena.mode.vc":"Konwersja głosu","arena.mode.asr":"ASR","arena.input.label":"Dane wejściowe","arena.input.title":"Wspólne żądanie","arena.input.textPlaceholder":"Wpisz jeden prompt do porównania modeli TTS","arena.input.groundTruth":"Tekst referencyjny","arena.input.groundTruthPlaceholder":"Wklej oczekiwaną transkrypcję, aby obliczyć WER","arena.shared":"wspólne","arena.voice.label":"Głos","arena.voice.modelDefault":"Domyślny modelu","arena.voice.builtin":"Wbudowany głos demo","arena.voice.reference":"Audio referencyjne","arena.voice.builtinNote":"Wbudowane głosy są przekazywane jako voice ID do każdego modelu. Ten typ głosu nie wymaga tekstu referencyjnego.","arena.voice.targetSpeaker":"Audio głosu docelowego","arena.voice.clearTarget":"Wyczyść cel","arena.voice.clearReference":"Wyczyść referencję","arena.options.shared":"Wspólne opcje","arena.queue.label":"Kolejka","arena.queue.title":"Modele","arena.queue.add":"Dodaj","arena.queue.remove":"Usuń","arena.queue.clear":"Wyczyść","arena.queue.empty":"Dodaj zainstalowane modele lub pakiety precyzji do porównania.","arena.run":"Uruchom arenę","arena.package.label":"Pakiet","arena.package.configured":"Skonfigurowany","arena.results.title":"Porównaj wyniki","arena.results.empty":"Brak wyników areny.","arena.metric.wall":"czas","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"w kolejce","arena.itemStatus.loading":"ładowanie","arena.itemStatus.running":"uruchomione","arena.itemStatus.done":"gotowe","arena.itemStatus.failed":"błąd","arena.itemStatus.skipped":"pominięto","arena.status.duplicate":"{model} {package} jest już w arenie.","arena.status.loadingModel":"Ładowanie modelu","arena.status.runningRequest":"Uruchamianie żądania","arena.status.addModel":"Dodaj co najmniej jeden model do areny.","arena.status.running":"Uruchamianie areny {mode}...","arena.status.complete":"Arena zakończona.","arena.note.skippedTargetVoice":"Pominięto, ponieważ ten model VC wymaga audio głosu docelowego.","arena.note.skippedReferenceText":"Pominięto, ponieważ ten model wymaga tekstu referencyjnego dla wybranego wejścia głosu.","arena.note.builtinVoice":"Użyto wbudowanego głosu: {voice}.","arena.note.referenceVoice":"Użyto głosu referencyjnego.","arena.note.referenceUnsupported":"Użyto domyślnego głosu; głos referencyjny nie jest obsługiwany.","arena.note.defaultVoice":"Użyto domyślnego głosu: {voice}.","arena.note.skippedReferenceVoice":"Pominięto, ponieważ ten model wymaga głosu referencyjnego.","arena.error.seed":"Ziarno musi być -1 albo 32-bitową liczbą unsigned (0-4294967295).","arena.error.jsonObject":"musi być obiektem","arena.error.invalidJson":"Nieprawidłowy JSON opcji areny: {error}","arena.error.unregistered":"Skonfigurowany model nie jest zarejestrowany przez ten serwer.","arena.error.notDownloaded":"{package} nie został pobrany.","arena.error.loadFailed":"Model nie został załadowany.","arena.error.missingCatalog":"Modelu nie ma już w katalogu.","arena.error.enterTtsText":"Wpisz tekst dla areny TTS.","arena.error.chooseAsrSource":"Wybierz audio źródłowe dla areny ASR.","arena.error.chooseVcSource":"Wybierz audio źródłowe dla areny VC.","arena.error.noAudio":"Odpowiedź nie zawiera audio.","request.alignmentText":"Tekst do wyrównania","request.context":"Kontekst","request.contextHint":"opcjonalna terminologia lub nazwy","request.duration":"Czas trwania w sekundach","request.liveDescription":"Przetwarza kolejne czterosekundowe żądania w trybie strumieniowym modelu.","request.liveTitle":"Transkrypcja mikrofonu na żywo","request.lyrics":"Tekst utworu","request.optional":"opcjonalne","request.recordingMicrophone":"Nagrywanie mikrofonu","request.soundPlaceholder":"Opisz dźwięk lub muzykę…","request.startLive":"Uruchom na żywo","request.stopLive":"Zatrzymaj na żywo","request.stopRecording":"Zatrzymaj nagrywanie","request.textPlaceholder":"Wprowadź tekst…","request.voiceDescription":"Opis głosu","request.voiceDescriptionPlaceholder":"Ciepły, spokojny głos o umiarkowanym tempie…","result.track":"ścieżka","result.tracks":"ścieżki","runtime.eyebrow":"ŚRODOWISKO","runtime.subtitle":"Zdarzenia cyklu życia i żądań po stronie przeglądarki.","status.ready":"Gotowe","studio.estimatedVram":"Szacowane VRAM: {value} GB","studio.vram":"VRAM —","task.align":"Wymuszone wyrównanie","task.asr":"Transkrypcja","task.clon":"Klonowanie głosu","task.diar":"Diarizacja mówców","task.gen":"Generowanie muzyki","task.s2s":"Edycja mowy","task.sep":"Separacja źródeł","task.svc":"Konwersja głosu śpiewanego","task.tts":"Synteza mowy","task.vad":"Aktywność głosowa","task.vc":"Konwersja głosu","task.vdes":"Projektowanie głosu","voice.bundledNote":"Dołączone audio referencyjne i jego transkrypcja zostaną użyte automatycznie.","voice.namePlaceholder":"Mój głos referencyjny","voice.recommendedClone":"zalecana do klonowania","voice.recording":"Nagrywanie głosu referencyjnego","voice.requiredClone":"wymagana dla tego klonowania głosu","voice.transcriptPlaceholder":"Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej."}')},Eh={code:"ru",name:"Русский",translations:JSON.parse('{"request.minimaxFrames":"{frames} выровненных выходных кадров","param.minimax_h3.num_inference_steps.label":"Шаги шумоподавления","param.minimax_h3.num_inference_steps.info":"Двенадцать шагов обеспечивают практичный баланс качества и производительности.","param.minimax_h3.num_frames.label":"Выходные кадры","param.minimax_h3.num_frames.info":"Рассчитываются из длительности примерно по 24 кадра на секунду вывода. Изменение числа кадров также обновляет длительность.","param.minimax_h3.guidance_scale.label":"Масштаб управления","param.minimax_h3.sampler.label":"Сэмплер","param.minimax_h3.dit_acceleration.label":"Ускорение DiT","param.minimax_h3.dit_acceleration.info":"None использует полный DiT с приоритетом качества. Режимы ускорения экспериментальны и могут искажать некоторые результаты.","param.minimax_h3.return_video.label":"Декодировать видео","param.minimax_h3.return_video.info":"По умолчанию выключено для снижения расхода памяти и возврата только аудио.","model.minimax_h3.hint":"MiniMax-H3 использует совместный аудио/видео DiT. GGUF Q4 ориентирован на качество; доступный только в CUDA GGUF Q4 ConvRot использует немного больше VRAM ради скорости. Полный DiT по умолчанию отдаёт приоритет качеству звука, а декодирование видео отключено.","status.modelReady":"{model} загружен и готов.","status.runningTask":"Выполняется: {task}...","status.completeIn":"Завершено за {seconds} с.","status.packageAvailable":"{model} будет использовать {format}. Модель доступна в Studio.","app.nativeStudio":"Нативная студия","nav.studio":"Студия","nav.arena":"Арена","nav.models":"Модели","nav.runtime":"Среда","language.label":"Язык интерфейса","theme.label":"Тема","theme.system":"Системная","theme.dark":"Тёмная","theme.light":"Светлая","workflow.tts":"Синтез речи","workflow.asr":"ASR / Распознавание","workflow.music":"Генерация музыки","workflow.vc":"Преобразование голоса","workflow.sep":"Разделение источников","workflow.analysis":"Анализ аудио","workflow.design":"Дизайн голоса","studio.eyebrow":"ЛОКАЛЬНЫЙ АУДИО ИНТЕЛЛЕКТ","studio.title":"Аудиостудия","studio.subtitle.tts":"Создавайте естественную речь из текста с готовыми голосами и клонированием, если они поддерживаются.","studio.subtitle.asr":"Преобразуйте речь из аудио в текст с настройками языка и временных меток, если они поддерживаются.","studio.subtitle.music":"Создавайте музыку и звуки по описанию, тексту песни или эталонному аудио.","studio.subtitle.vc":"Преобразуйте запись в другой голос, сохраняя манеру речи или пения.","studio.subtitle.sep":"Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.","studio.subtitle.analysis":"Анализируйте речевую активность, говорящих, время и выравнивание аудио.","studio.subtitle.design":"Создавайте и настраивайте голос по текстовому описанию и поддерживаемым эталонным параметрам.","studio.model":"Модель","studio.noModel":"Модель не выбрана","studio.resident":"Загружена","studio.notInstalled":"Не установлена","studio.available":"Доступна","studio.chooseInstalled":"Выберите установленную модель","studio.notDownloaded":"не скачана","studio.pathFound":"Путь найден","studio.pathMissing":"Путь отсутствует","studio.pathUnknown":"Путь не проверен","studio.load":"Загрузить модель","studio.unload":"Выгрузить модель","studio.working":"Обработка…","studio.bundledLoaded":"Встроена · загружена","request.label":"ЗАПРОС","request.title":"Ввод и управление","request.prompt":"Запрос","request.text":"Текст","request.splitLongText":"Разделять и объединять длинный текст","request.charactersPerChunk":"Символов в части","request.language":"Язык","request.autoLanguage":"пусто = автоматически","request.seed":"Seed","request.randomSeed":"-1 = случайно","request.maxTokens":"Максимум токенов","request.sourceAudio":"Исходное аудио","request.recordMicrophone":"Записать микрофон","voice.quickStart":"Демонстрационные голоса","voice.useReference":"Использовать файл эталонного аудио ниже","voice.reference":"Эталонный голос","voice.required":"обязательно","voice.optional":"необязательно","voice.referenceText":"Эталонный текст","voice.transcript":"Эталонная расшифровка","voice.saved":"Сохранённые голоса","voice.browserOnly":"только в этом браузере","voice.chooseSaved":"Выберите сохранённый голос...","voice.libraryName":"Имя в библиотеке","voice.save":"Сохранить голос","common.delete":"Удалить","common.cancel":"Отмена","common.close":"Закрыть","common.refresh":"Обновить","common.browse":"Обзор","common.apply":"Применить","options.modelParameters":"Параметры модели","options.additional":"Дополнительные параметры","run.run":"Запустить","run.cancel":"Отмена","run.working":"Обработка…","result.title":"Результат","result.label":"РЕЗУЛЬТАТ","result.saveWav":"Сохранить WAV","result.empty":"Здесь появятся созданное аудио и структурированные результаты.","models.eyebrow":"БИБЛИОТЕКА МОДЕЛЕЙ","models.title":"Локальные пакеты","models.subtitle":"Скачивайте пакеты моделей и управляйте ими прямо в интерфейсе.","models.folder":"Папка моделей","models.useDefault":"По умолчанию","models.showTypes":"Типы моделей","models.stopDownload":"Остановить загрузку","models.cleanPartial":"Удалить частичную загрузку","runtime.title":"Журнал сеанса","runtime.status":"Состояние","runtime.backend":"Backend","runtime.registered":"Зарегистрировано","runtime.resident":"Загружено","runtime.noEvents":"Событий пока нет.","folder.title":"Выберите папку","folder.up":"На уровень выше","folder.select":"Выбрать эту папку","common.applying":"Применение…","common.disabled":"Выключено","common.enabled":"Включено","file.choose":"Выбрать файл","file.none":"Файл не выбран","folder.closeLabel":"Закрыть выбор папки","folder.empty":"В этой папке нет вложенных папок.","folder.eyebrow":"ПАПКА МОДЕЛЕЙ","folder.loading":"Загрузка...","folder.loadingFolders":"Загрузка папок...","footer.embedded":"SvelteKit · встроен в audiocpp_server","models.checkingSize":"проверка размера…","models.default":"По умолчанию","models.downloaded":"Скачано","models.folderHint":"загрузка, локальное обнаружение и загрузка моделей","models.folderPlaceholder":"папка models рядом с audiocpp_server","models.hfAccess":"Требуется доступ HF","models.model":"модель","models.queued":"в очереди","models.reinstall":"Переустановить","models.selected":"Выбрано","models.sharedPackage":"Использует общий пакет {name}, показанный выше.","models.sizeUnavailable":"размер недоступен","models.stopping":"остановка","models.update":"Обновить","models.updateAvailable":"Доступно обновление","models.upToDate":"Актуально","models.variants":"варианты","models.versionUnknown":"Версия неизвестна","nav.primary":"Основная навигация","nav.workflows":"Рабочие процессы аудио","arena.eyebrow":"АРЕНА","arena.title.tts":"Сравнение TTS","arena.title.vc":"Сравнение преобразования голоса","arena.title.asr":"Сравнение ASR","arena.subtitle":"Запускает один и тот же ввод через выбранные установленные модели и варианты пакетов по очереди.","arena.subtitle.tts":"Запускает один и тот же текст через выбранные модели TTS и варианты пакетов.","arena.subtitle.vc":"Запускает одно и то же исходное аудио через выбранные модели преобразования голоса.","arena.subtitle.asr":"Запускает одно и то же исходное аудио через выбранные модели ASR и сравнивает расшифровки.","arena.mode.tts":"TTS","arena.mode.vc":"Преобразование голоса","arena.mode.asr":"ASR","arena.input.label":"Ввод","arena.input.title":"Общий запрос","arena.input.textPlaceholder":"Введите один запрос для сравнения моделей TTS","arena.input.groundTruth":"Эталонный текст","arena.input.groundTruthPlaceholder":"Вставьте ожидаемую расшифровку для расчёта WER","arena.shared":"общий","arena.voice.label":"Голос","arena.voice.modelDefault":"По умолчанию модели","arena.voice.builtin":"Встроенный демо-голос","arena.voice.reference":"Эталонное аудио","arena.voice.builtinNote":"Встроенные голоса передаются каждой модели как voice ID. Для этого источника голоса эталонный текст не требуется.","arena.voice.targetSpeaker":"Аудио целевого говорящего","arena.voice.clearTarget":"Очистить цель","arena.voice.clearReference":"Очистить эталон","arena.options.shared":"Общие параметры","arena.queue.label":"Очередь","arena.queue.title":"Модели","arena.queue.add":"Добавить","arena.queue.remove":"Удалить","arena.queue.clear":"Очистить","arena.queue.empty":"Добавьте установленные модели или пакеты точности для сравнения.","arena.run":"Запустить арену","arena.package.label":"Пакет","arena.package.configured":"Настроено","arena.results.title":"Сравнить вывод","arena.results.empty":"Результатов арены пока нет.","arena.metric.wall":"время","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"в очереди","arena.itemStatus.loading":"загрузка","arena.itemStatus.running":"выполняется","arena.itemStatus.done":"готово","arena.itemStatus.failed":"ошибка","arena.itemStatus.skipped":"пропущено","arena.status.duplicate":"{model} {package} уже есть в арене.","arena.status.loadingModel":"Загрузка модели","arena.status.runningRequest":"Выполнение запроса","arena.status.addModel":"Добавьте хотя бы одну модель в арену.","arena.status.running":"Выполняется арена {mode}...","arena.status.complete":"Выполнение арены завершено.","arena.note.skippedTargetVoice":"Пропущено: этой VC-модели нужно аудио целевого говорящего.","arena.note.skippedReferenceText":"Пропущено: этой модели нужен эталонный текст для выбранного голосового ввода.","arena.note.builtinVoice":"Использован встроенный голос: {voice}.","arena.note.referenceVoice":"Использован эталонный голос.","arena.note.referenceUnsupported":"Использован голос по умолчанию; эталонный голос не поддерживается.","arena.note.defaultVoice":"Использован голос по умолчанию: {voice}.","arena.note.skippedReferenceVoice":"Пропущено: этой модели нужен эталонный голос.","arena.error.seed":"Seed должен быть -1 или 32-битным unsigned-целым (0-4294967295).","arena.error.jsonObject":"должен быть объектом","arena.error.invalidJson":"Недопустимый JSON параметров арены: {error}","arena.error.unregistered":"Настроенная модель не зарегистрирована этим сервером.","arena.error.notDownloaded":"{package} не скачан.","arena.error.loadFailed":"Модель не загрузилась.","arena.error.missingCatalog":"Модели больше нет в каталоге.","arena.error.enterTtsText":"Введите текст для арены TTS.","arena.error.chooseAsrSource":"Выберите исходное аудио для арены ASR.","arena.error.chooseVcSource":"Выберите исходное аудио для арены VC.","arena.error.noAudio":"Ответ не содержит аудио.","request.alignmentText":"Текст для выравнивания","request.context":"Контекстный запрос","request.contextHint":"необязательные термины или имена","request.duration":"Длительность в секундах","request.liveDescription":"Обрабатывает последовательные четырёхсекундные запросы в потоковом режиме модели.","request.liveTitle":"Распознавание с микрофона в реальном времени","request.lyrics":"Текст песни","request.optional":"необязательно","request.recordingMicrophone":"Запись микрофона","request.soundPlaceholder":"Опишите звук или музыку…","request.startLive":"Запустить","request.stopLive":"Остановить","request.stopRecording":"Остановить запись","request.textPlaceholder":"Введите текст…","request.voiceDescription":"Описание голоса","request.voiceDescriptionPlaceholder":"Тёплый спокойный голос с размеренным темпом…","result.track":"дорожка","result.tracks":"дорожки","runtime.eyebrow":"СРЕДА","runtime.subtitle":"События жизненного цикла и запросов в браузере.","status.ready":"Готово","studio.estimatedVram":"Оценка VRAM: {value} ГБ","studio.vram":"VRAM —","task.align":"Принудительное выравнивание","task.asr":"Распознавание речи","task.clon":"Клонирование голоса","task.diar":"Диаризация говорящих","task.gen":"Генерация музыки","task.s2s":"Редактирование речи","task.sep":"Разделение источников","task.svc":"Преобразование вокала","task.tts":"Синтез речи","task.vad":"Голосовая активность","task.vc":"Преобразование голоса","task.vdes":"Дизайн голоса","voice.bundledNote":"Встроенное эталонное аудио и соответствующая расшифровка подставляются автоматически.","voice.namePlaceholder":"Мой эталонный голос","voice.recommendedClone":"рекомендуется для клонирования","voice.recording":"Запись эталонного голоса","voice.requiredClone":"требуется для этого клонирования","voice.transcriptPlaceholder":"Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше."}')},Dh={code:"zh",name:"中文",translations:{"request.minimaxFrames":"{frames} 个对齐输出帧","param.minimax_h3.num_inference_steps.label":"去噪步数","param.minimax_h3.num_inference_steps.info":"十二个去噪步骤可在质量和性能之间取得实用的平衡。","param.minimax_h3.num_frames.label":"输出帧数","param.minimax_h3.num_frames.info":"根据时长自动计算，每秒输出约 24 帧。编辑帧数也会更新时长。","param.minimax_h3.guidance_scale.label":"引导强度","param.minimax_h3.sampler.label":"采样器","param.minimax_h3.dit_acceleration.label":"DiT 加速","param.minimax_h3.dit_acceleration.info":"“none”使用质量优先的完整 DiT 路径。加速模式为实验性功能，可能使某些输出失真。","param.minimax_h3.return_video.label":"解码视频","param.minimax_h3.return_video.info":"默认禁用以减少内存占用，并仅返回音频。","model.minimax_h3.hint":"MiniMax-H3 使用联合音频/视频 DiT。GGUF Q4 是质量优先版本；仅支持 CUDA 的 GGUF Q4 ConvRot 使用稍多显存以提高速度。默认完整 DiT 路径优先保证音频质量，并禁用视频解码。","status.modelReady":"{model} 已加载并准备就绪。","status.runningTask":"正在运行{task}...","status.completeIn":"已在 {seconds} 秒内完成。","status.packageAvailable":"{model} 将使用 {format}，现可在工作室中使用。","app.nativeStudio":"原生工作室","nav.studio":"工作室","nav.arena":"对比场","nav.models":"模型","nav.runtime":"运行环境","language.label":"界面语言","theme.label":"主题","theme.system":"跟随系统","theme.dark":"深色","theme.light":"浅色","workflow.tts":"文本转语音","workflow.asr":"ASR / 转录","workflow.music":"音乐生成","workflow.vc":"语音转换","workflow.sep":"音源分离","workflow.analysis":"音频分析","workflow.design":"音色设计","studio.eyebrow":"本地音频智能","studio.title":"音频工作室","studio.subtitle.tts":"从文本生成自然语音，并在模型支持时使用预设音色或声音克隆。","studio.subtitle.asr":"将语音音频转为文本，并在模型支持时设置语言和时间戳。","studio.subtitle.music":"根据描述、歌词或参考音频创作音乐和声音。","studio.subtitle.vc":"将录音转换为另一种声音，同时保留原有的说话或演唱表现。","studio.subtitle.sep":"将录音分离为人声、乐器或其他可用音轨。","studio.subtitle.analysis":"分析语音活动、说话人、时间信息和音频对齐。","studio.subtitle.design":"根据文字描述和支持的参考控制创建或调整声音。","studio.model":"模型","studio.noModel":"未选择模型","studio.resident":"已加载","studio.notInstalled":"未安装","studio.available":"可用","studio.chooseInstalled":"选择已安装的模型","studio.notDownloaded":"未下载","studio.pathFound":"已找到路径","studio.pathMissing":"路径不存在","studio.pathUnknown":"尚未检查路径","studio.load":"加载模型","studio.unload":"卸载模型","studio.working":"处理中…","studio.bundledLoaded":"内置 · 已加载","request.label":"请求","request.title":"输入与控制","request.prompt":"提示词","request.text":"文本","request.splitLongText":"拆分并合并长文本","request.charactersPerChunk":"每段字符数","request.language":"语言","request.autoLanguage":"留空 = 自动","request.seed":"随机种子","request.randomSeed":"-1 = 随机","request.maxTokens":"最大令牌数","request.sourceAudio":"源音频","request.recordMicrophone":"录制麦克风","voice.quickStart":"快速开始演示音色","voice.useReference":"使用下方参考音频文件","voice.reference":"参考音色","voice.required":"必需","voice.optional":"可选","voice.referenceText":"参考文本","voice.transcript":"参考转录","voice.saved":"已保存音色","voice.browserOnly":"仅存储在此浏览器中","voice.chooseSaved":"选择已保存音色...","voice.libraryName":"库名称","voice.save":"保存音色","common.delete":"删除","common.cancel":"取消","common.close":"关闭","common.refresh":"刷新","common.browse":"浏览","common.apply":"应用","options.modelParameters":"模型参数","options.additional":"其他选项","run.run":"运行","run.cancel":"取消","run.working":"处理中…","result.title":"输出","result.label":"结果","result.saveWav":"保存 WAV","result.empty":"生成的音频和结构化结果将显示在这里。","models.eyebrow":"模型库","models.title":"本地软件包","models.subtitle":"无需离开原生界面即可下载和管理模型包。","models.folder":"模型文件夹","models.useDefault":"使用默认值","models.showTypes":"显示模型类型","models.stopDownload":"停止下载","models.cleanPartial":"清理部分下载","runtime.title":"会话日志","runtime.status":"状态","runtime.backend":"后端","runtime.registered":"已注册","runtime.resident":"已加载","runtime.noEvents":"暂无事件。","folder.title":"选择文件夹","folder.up":"上一级","folder.select":"选择此文件夹","common.applying":"正在应用…","common.disabled":"已禁用","common.enabled":"已启用","file.choose":"选择文件","file.none":"未选择文件","folder.closeLabel":"关闭文件夹浏览器","folder.empty":"此文件夹没有子文件夹。","folder.eyebrow":"模型文件夹","folder.loading":"正在加载...","folder.loadingFolders":"正在加载文件夹...","footer.embedded":"SvelteKit · 内置于 audiocpp_server","models.checkingSize":"正在检查大小…","models.default":"默认","models.downloaded":"已下载","models.folderHint":"用于下载、本地检测和模型加载","models.folderPlaceholder":"audiocpp_server 旁的 models 文件夹","models.hfAccess":"需要 HF 访问权限","models.model":"模型","models.queued":"排队中","models.reinstall":"重新安装","models.selected":"已选择","models.sharedPackage":"使用上方显示的共享 {name} 软件包。","models.sizeUnavailable":"大小不可用","models.stopping":"正在停止","models.update":"更新","models.updateAvailable":"有可用更新","models.upToDate":"已是最新","models.variants":"变体","models.versionUnknown":"版本未知","nav.primary":"主导航","nav.workflows":"音频工作流程","arena.eyebrow":"对比场","arena.title.tts":"TTS 对比","arena.title.vc":"语音转换对比","arena.title.asr":"ASR 对比","arena.subtitle":"用同一输入依次运行已选择的已安装模型和精度包，方便比较输出。","arena.subtitle.tts":"用同一文本依次运行已选择的 TTS 模型和精度包。","arena.subtitle.vc":"用同一源音频依次运行已选择的语音转换模型。","arena.subtitle.asr":"用同一源音频依次运行已选择的 ASR 模型并比较转录结果。","arena.mode.tts":"TTS","arena.mode.vc":"语音转换","arena.mode.asr":"ASR","arena.input.label":"输入","arena.input.title":"共享请求","arena.input.textPlaceholder":"输入一段文本，用于对比多个 TTS 模型","arena.input.groundTruth":"真实文本","arena.input.groundTruthPlaceholder":"粘贴期望转录文本以计算 WER","arena.shared":"共享","arena.voice.label":"声音","arena.voice.modelDefault":"模型默认","arena.voice.builtin":"内置演示声音","arena.voice.reference":"参考音频","arena.voice.builtinNote":"内置声音会作为 voice ID 传给每个模型。此声音来源不需要参考文本。","arena.voice.targetSpeaker":"目标说话人音频","arena.voice.clearTarget":"清除目标","arena.voice.clearReference":"清除参考","arena.options.shared":"共享选项","arena.queue.label":"队列","arena.queue.title":"模型","arena.queue.add":"添加","arena.queue.remove":"移除","arena.queue.clear":"清空","arena.queue.empty":"添加已安装模型或精度包进行对比。","arena.run":"运行对比","arena.package.label":"软件包","arena.package.configured":"已配置","arena.results.title":"比较输出","arena.results.empty":"暂无对比结果。","arena.metric.wall":"耗时","arena.metric.rtf":"RTF","arena.metric.wer":"WER","arena.itemStatus.queued":"排队中","arena.itemStatus.loading":"加载中","arena.itemStatus.running":"运行中","arena.itemStatus.done":"完成","arena.itemStatus.failed":"失败","arena.itemStatus.skipped":"跳过","arena.status.duplicate":"{model} {package} 已在对比队列中。","arena.status.loadingModel":"正在加载模型","arena.status.runningRequest":"正在运行请求","arena.status.addModel":"请至少添加一个模型到对比场。","arena.status.running":"正在运行 {mode} 对比...","arena.status.complete":"对比运行完成。","arena.note.skippedTargetVoice":"已跳过：此语音转换模型需要目标说话人音频。","arena.note.skippedReferenceText":"已跳过：此模型对所选声音输入需要参考文本。","arena.note.builtinVoice":"使用内置声音：{voice}。","arena.note.referenceVoice":"使用参考声音。","arena.note.referenceUnsupported":"使用模型默认声音；此模型不支持参考声音。","arena.note.defaultVoice":"使用默认声音：{voice}。","arena.note.skippedReferenceVoice":"已跳过：此模型需要参考声音。","arena.error.seed":"Seed 必须为 -1 或 0 到 4294967295 的无符号 32 位整数。","arena.error.jsonObject":"必须是对象","arena.error.invalidJson":"对比场选项 JSON 无效：{error}","arena.error.unregistered":"此服务器未注册已配置模型。","arena.error.notDownloaded":"{package} 未下载。","arena.error.loadFailed":"模型未加载。","arena.error.missingCatalog":"模型已不在目录中。","arena.error.enterTtsText":"请输入 TTS 对比文本。","arena.error.chooseAsrSource":"请选择 ASR 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The default auto mode derives a rescale value from guidance_scale; a numeric string requests an explicit value.",required:!1,default:"auto"},{name:"audio_chunk_threshold_sec",type:"float",description:"Estimated duration threshold that switches a request to long-form chunking; default 45.0 seconds.",required:!1,min:0,default:45},{name:"audio_chunk_duration_sec",type:"float",description:"Target estimated duration for each long-form chunk; default 37.0 seconds.",required:!1,min:0,default:37},{name:"cross_fade_duration_sec",type:"float",description:"Equal-power cross-fade between long-form chunks in seconds; default 0.05.",required:!1,min:0,default:.05},{name:"seed",type:"int",description:"Torch-compatible CUDA noise seed for diffusion sampling; default 42.",required:!1,min:0,default:42}],session:[{name:"perf_mode",type:"enum",description:"Attention implementation mode. Default off keeps the exact reference-query attention path; flash_attention enables the optimized path.",values:["off","flash_attention"],required:!1,default:"off"},{name:"mem_saver",type:"bool",description:"Release staged runtime graphs and weights immediately after each request phase to reduce peak and resident VRAM; default false keeps components cached for later reuse.",required:!1,default:!1}],load:[]},package_defaults:{download:{kind:"huggingface_snapshot",repo:"audio-cpp/audio.cpp-gguf",revision:"main",gated:!1}},packages:[{id:"dramabox_q8_0",display_name:"DramaBox Q8_0 GGUF",default:!0,format:"gguf",precision:"q8_0",target_directory:"DramaBox-GGUF",files:["DramaBox-GGUF/dramabox-q8_0.gguf"],strip_prefix:"DramaBox-GGUF"}],dependencies:[],ui:{recommended_package:"dramabox_q8_0",tags:["TTS","Clone","GGUF"],docs:["docs/tts.md","docs/gguf.md"]},sources:[{format:"gguf",roots:{model:".",weights:"$gguf"},files:{config:"model:config.json",audio_components_config:"model:audio_components_config.json",gemma_config:"model:gemma-3-12b-it-bnb-4bit/config.json",gemma_tokenizer_model:"model:gemma-3-12b-it-bnb-4bit/tokenizer.model",gemma_tokenizer_json:"model:gemma-3-12b-it-bnb-4bit/tokenizer.json",gemma_tokenizer_config:"model:gemma-3-12b-it-bnb-4bit/tokenizer_config.json"},tensors:{dit_weights:{source:"weights:",prefix:"dit"},audio_weights:{source:"weights:",prefix:"audio"},gemma_weights:{source:"weights:",prefix:"gemma"},silence_latent:{source:"weights:",prefix:"silence"}}}]},Ah={schema_version:1,family:"echo_tts",display_name:"Echo-TTS",description:"Echo-TTS is an English zero-shot voice-cloning TTS model packaged for audio.cpp. A 2.8B diffusion transformer generates 80-D latents in PCA space which the Fish S1-DAC decodes to 44.1 kHz audio. 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Worth raising to 2 at 30+ steps, where the correction is still measured 8-10 times across the guided phase (roughly 1.3x fewer denoiser evaluations); not recommended below ~20 steps, where it is already coarsely sampled and staleness shows up as degraded timbre and text adherence.",required:!1,min:1,default:1}],session:[{name:"reference_duration_sec",type:"float",required:!1,description:"Trim the speaker reference to at most this many seconds before encoding. Shorter references are cheaper and often clone better; upstream's guidance favours around 10 s. Defaults to 15 s. Values above the trained maximum of 297.1 s are clamped. Set per request, or as a session default from CLI or server config.",default:15},{name:"reference_cache_slots",type:"int",required:!1,description:"How many encoded speaker references to keep. 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Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required."},{"id":"pocket-tts-italian","display_name":"Pocket TTS Italian (voice clone)","family":"pocket_tts","path":"models/PocketTTS-GGUF/italian/pocket-tts-italian-q8_0.gguf","task":"clon","mode":"offline","download_id":"pocket_tts_italian_q8_0","min_vram_gb":2,"input_hint_en":"**Pocket TTS Italian**: Italian offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required."},{"id":"pocket-tts-portuguese","display_name":"Pocket TTS Portuguese (voice clone)","family":"pocket_tts","path":"models/PocketTTS-GGUF/portuguese/pocket-tts-portuguese-q8_0.gguf","task":"clon","mode":"offline","download_id":"pocket_tts_portuguese_q8_0","min_vram_gb":2,"input_hint_en":"**Pocket TTS Portuguese**: Portuguese offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required."},{"id":"pocket-tts-spanish","display_name":"Pocket TTS Spanish (voice clone)","family":"pocket_tts","path":"models/PocketTTS-GGUF/spanish/pocket-tts-spanish-q8_0.gguf","task":"clon","mode":"offline","download_id":"pocket_tts_spanish_q8_0","min_vram_gb":2,"input_hint_en":"**Pocket TTS Spanish**: Spanish offline speech. Unlike the English package this checkpoint ships no packaged voice embedding, so a reference voice upload is required."},{"id":"dots-tts-soar","display_name":"DotTTS SOAR (tts + clone)","family":"dots_tts","path":"models/DotTTS-SOAR-GGUF/dots-tts-soar-q8_0.gguf","task":"tts","mode":"offline","download_id":"dots_tts_soar_q8_0","min_vram_gb":8},{"id":"dots-tts-meanflow","display_name":"DotTTS MeanFlow (tts + clone)","family":"dots_tts","path":"models/DotTTS-MF-GGUF/dots-tts-mf-q8_0.gguf","task":"tts","mode":"offline","download_id":"dots_tts_mf_q8_0","min_vram_gb":8},{"id":"neutts-2e","display_name":"NeuTTS 2E (tts, preset voices)","family":"neutts","path":"models/NeuTTS-2E-GGUF/neutts-2e-orig.gguf","task":"tts","mode":"offline","download_id":"neutts_2e_orig","min_vram_gb":4},{"id":"qwen3-tts","display_name":"Qwen3-TTS 0.6B (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-0.6B-Base-GGUF/qwen3-tts-12hz-0.6b-base-q8_0.gguf","task":"tts","mode":"offline","download_id":"qwen3_tts_0_6b_base_q8_0","min_vram_gb":5},{"id":"qwen3-tts-1.7b","display_name":"Qwen3-TTS 1.7B Base (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-Base-GGUF/qwen3-tts-12hz-1.7b-base-q8_0_v2.gguf","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_base_q8_0","min_vram_gb":8},{"id":"qwen3-tts-1.7b-custom","display_name":"Qwen3-TTS 1.7B CustomVoice (tts)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-CustomVoice-GGUF/qwen3-tts-12hz-1.7b-customvoice-q8_0.gguf","task":"tts","mode":"offline","download_id":"qwen3_tts_1_7b_customvoice_q8_0","min_vram_gb":8},{"id":"miotts","display_name":"MioTTS 1.7B (tts; needs MioCodec)","family":"miotts","path":"models/MioTTS-1.7B-GGUF/miotts-1.7b-q8_0.gguf","task":"clon","mode":"offline","download_id":"miotts_1_7b_q8_0","min_vram_gb":8},{"id":"soprano-tts","display_name":"Soprano TTS (tts)","family":"soprano_tts","path":"models/Soprano-1.1-80M-GGUF/soprano-1.1-80m-q8_0.gguf","task":"tts","mode":"offline","download_id":"soprano_1_1_80m_q8_0","min_vram_gb":1},{"id":"voxcpm2","display_name":"VoxCPM2 (tts)","family":"voxcpm2","path":"models/VoxCPM2-GGUF/voxcpm2-q8_0.gguf","task":"tts","mode":"offline","download_id":"voxcpm2_q8_0","session_options":{"voxcpm2.weight_type":"q8_0"},"min_vram_gb":6},{"id":"voxcpm1","display_name":"VoxCPM1 0.5B (tts + clone)","family":"voxcpm1","path":"models/VoxCPM1-GGUF/voxcpm-0.5b-q8_0-audiovae-f16.gguf","task":"tts","mode":"offline","download_id":"voxcpm1_0.5b_q8_0","min_vram_gb":4},{"id":"vibevoice","display_name":"VibeVoice 1.5B/7B (tts, long-form/multi-speaker)","family":"vibevoice","path":"models/VibeVoice-1.5B-GGUF/vibevoice-1.5b-q8_0.gguf","task":"tts","mode":"offline","download_id":"vibevoice_1_5b_q8_0","min_vram_gb":7},{"id":"vibevoice-7b","display_name":"VibeVoice 7B (tts, long-form/multi-speaker)","family":"vibevoice","path":"models/VibeVoice-7B-GGUF/vibevoice-7b-q8_0.gguf","task":"tts","mode":"offline","download_id":"vibevoice_7b_q8_0","min_vram_gb":16},{"id":"index-tts2","display_name":"IndexTTS2 (tts 中英克隆+情感)","display_name_en":"IndexTTS2 (tts, zh/en clone + emotion)","family":"index_tts2","path":"models/IndexTTS2-GGUF/index-tts2-q8_0.gguf","task":"clon","mode":"offline","download_id":"index_tts2_q8_0","min_vram_gb":8},{"id":"index-tts2.5","display_name":"IndexTTS2.5 (tts 多语种克隆+情感, GGUF Q8)","display_name_en":"IndexTTS2.5 (tts, zh/en/ja/es/ar clone + emotion, GGUF Q8)","family":"index_tts2","path":"models/IndexTTS2.5-GGUF/index-tts2_5-q8_0.gguf","task":"clon","mode":"offline","download_id":"index_tts2_5_q8_0","min_vram_gb":8,"input_hint":"**IndexTTS2.5**：中/英/日/西/阿零样本克隆；上传参考音色即克隆；可在『其它参数(JSON)』里传 `lang`（默认 auto：含汉字按中文，否则按英文）与情感选项。许可证为 bilibili Model Use License（非 OSI），商用前请确认条款。","input_hint_en":"**IndexTTS2.5**: zero-shot cloning in zh/en/ja/es/ar. Upload a reference voice to clone; pass `lang` (default auto: zh when the text contains Han characters, otherwise en) and emotion options through the JSON box. Weights are under the bilibili Model Use License (not OSI-approved) — check terms before commercial use."},{"id":"irodori-tts","display_name":"Irodori-TTS v4 Small (tts 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small (ja tts, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf","task":"tts","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 Small**：日语 TTS；可不上传参考音色直接生成，也可上传参考音色进行克隆；可在声音设计页用日语 caption 描述音色。","input_hint_en":"**Irodori-TTS v4 Small**: Japanese TTS. Generate without a reference voice, clone from an uploaded reference, or use the voice-design page with a Japanese voice caption."},{"id":"irodori-tts-v3-500m","display_name":"Irodori-TTS 500M v3 (tts 日语)","display_name_en":"Irodori-TTS 500M v3 (ja tts)","family":"irodori_tts","path":"models/Irodori-TTS-500M-v3-GGUF/irodori-tts-500m-v3-q8_0.gguf","task":"tts","mode":"offline","download_id":"irodori_tts_500m_v3_q8_0","min_vram_gb":4},{"id":"moss-tts-local","display_name":"MOSS-TTS-Local v1.5 (tts)","family":"moss_tts_local","path":"models/MOSS-TTS-Local-v1.5-GGUF/moss-tts-local-v1.5-q8_0.gguf","task":"tts","mode":"offline","download_id":"moss_tts_local_v1_5_q8_0","min_vram_gb":8},{"id":"moss-tts-nano","display_name":"MOSS-TTS-Nano 100M (tts)","family":"moss_tts_nano","path":"models/MOSS-TTS-Nano-100M-GGUF/moss-tts-nano-100m-q8_0.gguf","task":"tts","mode":"offline","download_id":"moss_tts_nano_100m_q8_0","min_vram_gb":2},{"id":"magpie-tts","display_name":"MagpieTTS Multilingual 357M v2607 (tts, preset voices)","display_name_en":"MagpieTTS Multilingual 357M v2607 (tts, preset voices)","family":"magpie_tts","path":"models/MagpieTTS-Multilingual-357M-GGUF/magpie-tts-multilingual-357m-q8_0.gguf","task":"tts","mode":"offline","download_id":"magpie_tts_q8_0","min_vram_gb":4,"input_hint":"**MagpieTTS**：多语种离线 TTS；使用打包 speaker map 里的 `voice_id`，不需要上传参考音频。当前 GGUF 包不包含日语 phoneme 表，因此日语路径不可用。","input_hint_en":"**MagpieTTS**: multilingual offline TTS with packaged speaker prompts selected by `voice_id`; no reference upload is needed. The current GGUF package does not include the Japanese phoneme table, so Japanese is not available."},{"id":"fireredtts3-instruct","display_name":"FireRedTTS3 Instruct Clone","family":"fireredtts3","path":"models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf","task":"clon","mode":"offline","download_id":"fireredtts3_instruct_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 Instruct Clone**: official Instruct `generate_tts` path. Upload a reference voice and provide the matching reference transcript. For no-reference voice design, use the VoiceDesign entry."},{"id":"fireredtts3-base","display_name":"FireRedTTS3 Base (voice clone)","family":"fireredtts3","path":"models/FireRedTTS3-Base-GGUF/fireredtts3-base-q8_0.gguf","task":"clon","mode":"offline","download_id":"fireredtts3_base_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 Base**: zero-shot voice cloning. Upload a reference voice and provide the matching reference transcript."},{"id":"firered-audio-tts","display_name":"FireRedAudio Clone","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"clon","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Clone**: upload a reference voice and provide the matching reference transcript. For no-reference voice design, use the VoiceDesign entry."},{"id":"supertonic","display_name":"Supertonic 3 (tts 预置音色/多语种)","display_name_en":"Supertonic 3 (tts, preset voices)","family":"supertonic","path":"models/Supertonic-3-GGUF/supertonic-3-orig.gguf","task":"tts","mode":"offline","download_id":"supertonic_3_orig","min_vram_gb":2},{"id":"higgs-audio-tts","display_name":"Higgs Audio v3 TTS 4B (tts 克隆, GGUF Q8)","display_name_en":"Higgs Audio v3 TTS 4B (tts + clone, GGUF Q8)","family":"higgs_audio_tts","path":"models/Higgs-Audio-v3-TTS-4B-GGUF/higgs-audio-v3-tts-4b-q8_0.gguf","task":"tts","mode":"offline","download_id":"higgs_audio_tts_4b_q8_0","min_vram_gb":6,"input_hint":"**Higgs Audio v3 TTS**：Q8_0 GGUF 包（权重已量化，不用再设 weight_type）；上传参考音色即声音克隆，留空用默认音色；长文本自动分段。","input_hint_en":"**Higgs Audio v3 TTS**: Q8_0 GGUF package (already quantized — no weight_type needed). Upload a reference voice to clone, or leave it empty for the default voice; long text is chunked automatically."},{"id":"fish-audio-s2-pro","display_name":"Fish Audio S2 Pro (tts 克隆/控制标记, GGUF Q8)","display_name_en":"Fish Audio S2 Pro (tts + clone/control tags, GGUF Q8)","family":"fish_audio","path":"models/Fish-Audio-S2-Pro-GGUF/fish-audio-s2-pro-q8_0.gguf","task":"tts","mode":"offline","download_id":"fish_audio_s2_pro_q8_0","min_vram_gb":8,"input_hint":"**Fish Audio S2 Pro**：Q8_0 GGUF 包；中英+自动语种；上传参考音色即克隆；正文里可写行内控制标记（如 (laugh)）。","input_hint_en":"**Fish Audio S2 Pro**: Q8_0 GGUF package; English/Chinese plus auto language. Upload a reference voice to clone; inline control tags such as (laugh) can be written in the text."},{"id":"glm-tts","display_name":"GLM-TTS (tts 克隆, 社区)","display_name_en":"GLM-TTS (tts + clone, community)","family":"glm_tts","path":"models/GLM-TTS-Q8/Text to audio (TTS)/GLM-TTS_Q8.gguf","task":"clon","mode":"offline","download_id":"glm_tts_q8_0","min_vram_gb":8,"input_hint":"**GLM-TTS**（社区模型）：中英 TTS / voice clone；上传参考音色即克隆。","input_hint_en":"**GLM-TTS** (community): Chinese/English TTS and voice clone. Upload a reference voice to clone."},{"id":"outetts","display_name":"Llama-OuteTTS 1.0 1B (tts 克隆, 社区)","display_name_en":"Llama-OuteTTS 1.0 1B (tts + clone, community)","family":"outetts","path":"models/Llama-OuteTTS-1.0-1B_Q8/Text to audio (TTS)/Llama-OuteTTS-1.0-1B_Q8.gguf","task":"tts","mode":"offline","download_id":"outetts_1_0_1b_q8_0","min_vram_gb":4,"input_hint":"**OuteTTS 1.0 1B**（社区模型）：23 种语言，DAC 编解码；上传参考音色即克隆。","input_hint_en":"**OuteTTS 1.0 1B** (community): 23 languages, IBM DAC codec. Upload a reference voice to clone."},{"id":"vietneu-tts","display_name":"VieNeu-TTS v3 Turbo (tts 越南语, 社区)","display_name_en":"VieNeu-TTS v3 Turbo (vi tts, community)","family":"vietneu_tts","path":"models/VieNeu-TTS-v3-Turbo-GGUF/model.gguf","task":"clon","mode":"offline","download_id":"vietneu_tts_v3_turbo_q8_0","min_vram_gb":4,"input_hint":"**VieNeu-TTS v3 Turbo**（社区模型）：越南语 / 英语；上传参考音色即克隆。","input_hint_en":"**VieNeu-TTS v3 Turbo** (community): Vietnamese and English. Upload a reference voice to clone."},{"id":"inflect-v2","display_name":"Inflect Micro v2 (tts 英语, 社区)","display_name_en":"Inflect Micro v2 (en tts, community)","family":"inflect_v2","path":"models/Inflect-Micro-v2-GGUF/inflect-micro-v2-orig.gguf","task":"tts","mode":"offline","download_id":"inflect_micro_v2_orig","min_vram_gb":2,"input_hint":"**Inflect Micro v2**（社区模型）：英语离线 TTS；Micro 是默认包，Nano 可通过模型管理器另装后手动选择路径。","input_hint_en":"**Inflect Micro v2** (community): English offline TTS. Micro is the default package; Nano can be installed separately and selected manually."},{"id":"dramabox","display_name":"DramaBox (tts 克隆, GGUF Q8)","display_name_en":"DramaBox (tts + clone, GGUF Q8)","family":"dramabox","path":"models/DramaBox-GGUF/dramabox-q8_0.gguf","task":"tts","mode":"offline","download_id":"dramabox_q8_0","min_vram_gb":16,"input_hint":"**DramaBox**：英语 TTS / voice clone；上传参考音色可克隆，长文本建议写清楚说话人描述。","input_hint_en":"**DramaBox**: English TTS and voice clone. Upload a reference voice to clone; for long text, keep speaker wording explicit."},{"id":"confucius4-tts","display_name":"Confucius4-TTS (voice clone, GGUF)","display_name_en":"Confucius4-TTS (voice clone, GGUF)","family":"confucius4_tts","path":"models/Confucius4-TTS-GGUF/confucius4-tts-orig.gguf","task":"clon","mode":"offline","download_id":"confucius4_tts_orig","min_vram_gb":8,"input_hint":"**Confucius4-TTS**：需要参考音色；当前中文/英语路径更可靠，非中英语种仍在验证中。","input_hint_en":"**Confucius4-TTS**: requires a reference voice. Chinese/English are the most reliable paths; other languages are still being validated."},{"id":"echo-tts","display_name":"Echo-TTS (voice clone)","family":"echo_tts","path":"models/Echo-TTS-GGUF/echo-tts-q8_0.gguf","task":"clon","mode":"offline","download_id":"echo_tts_q8_0","min_vram_gb":8,"input_hint_en":"**Echo-TTS**: English zero-shot cloning at 44.1 kHz. Upload a reference voice -- no transcript needed. Output is CC-BY-NC-SA and may not be used commercially."},{"id":"chatterbox","display_name":"Chatterbox (voice clone)","family":"chatterbox","path":"models/Chatterbox-GGUF/chatterbox-q8_0.gguf","task":"clon","mode":"offline","download_id":"chatterbox_q8_0","min_vram_gb":12},{"id":"f5-tts-habibi","display_name":"F5-TTS Habibi Unified (voice clone, ar)","family":"f5_tts","path":"models/Habibi-TTS/Unified/habibi-unified-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_unified","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Unified**: Arabic zero-shot cloning across dialects. Upload a reference voice and provide the matching reference transcript; select a dialect with `dialect` (MSA, SAU, UAE, ALG, IRQ, EGY, MAR, ...) in the JSON box. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-alg","display_name":"F5-TTS Habibi Algerian (voice clone, ar-ALG)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/ALG/habibi-alg-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_alg","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Algerian**: Arabic zero-shot cloning specialised for the Algerian checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-egy","display_name":"F5-TTS Habibi Egyptian (voice clone, ar-EGY)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/EGY/habibi-egy-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_egy","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Egyptian**: Arabic zero-shot cloning specialised for the Egyptian checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-irq","display_name":"F5-TTS Habibi Iraqi (voice clone, ar-IRQ)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/IRQ/habibi-irq-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_irq","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Iraqi**: Arabic zero-shot cloning specialised for the Iraqi checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-mar","display_name":"F5-TTS Habibi Moroccan (voice clone, ar-MAR)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/MAR/habibi-mar-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_mar","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Moroccan**: Arabic zero-shot cloning specialised for the Moroccan checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-msa","display_name":"F5-TTS Habibi Modern Standard Arabic (voice clone, ar-MSA)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/MSA/habibi-msa-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_msa","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Modern Standard Arabic**: Arabic zero-shot cloning specialised for the Modern Standard Arabic checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-sau","display_name":"F5-TTS Habibi Saudi (voice clone, ar-SAU)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/SAU/habibi-sau-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_sau","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Saudi**: Arabic zero-shot cloning specialised for the Saudi checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"f5-tts-habibi-uae","display_name":"F5-TTS Habibi Emirati (voice clone, ar-UAE)","family":"f5_tts","path":"models/Habibi-TTS/Specialized/UAE/habibi-uae-orig.gguf","task":"clon","mode":"offline","download_id":"habibi_uae","min_vram_gb":4,"input_hint_en":"**F5-TTS Habibi Emirati**: Arabic zero-shot cloning specialised for the Emirati checkpoint. Upload a reference voice and provide the matching reference transcript. Weights are cc-by-nc-sa-4.0 (F5-TTS Base is cc-by-nc-4.0) -- non-commercial use only."},{"id":"ace-step","display_name":"ACE-Step 1.5 (music gen)","family":"ace_step","path":"models/ACE-Step1.5-GGUF/turbo/ace-step-1.5-turbo-bf16.gguf","task":"gen","mode":"offline","download_id":"ace_step_turbo_bf16","session_options":{"ace_step.mem_saver":"true","ace_step.dit_weight_type":"q8_0","ace_step.text_encoder_weight_type":"q8_0","ace_step.planner_weight_type":"q8_0"},"min_vram_gb":8},{"id":"minimax-music3","display_name":"MiniMax-Music3 (song gen)","family":"minimax_music3","path":"models/MiniMax-Music3-GGUF","task":"gen","mode":"offline","download_id":"minimax_music3_q4_0","min_vram_gb":12},{"id":"stable-audio-small-music","display_name":"Stable Audio 3 Small Music (gen)","family":"stable_audio","path":"models/Stable-Audio-3-Small-Music-GGUF/stable-audio-3-small-music-q8_0.gguf","task":"gen","mode":"offline","download_id":"stable_audio_3_small_music_q8_0","min_vram_gb":4},{"id":"stable-audio-small-sfx","display_name":"Stable Audio 3 Small SFX (gen)","family":"stable_audio","path":"models/Stable-Audio-3-Small-SFX-GGUF/stable-audio-3-small-sfx-q8_0.gguf","task":"gen","mode":"offline","download_id":"stable_audio_3_small_sfx_q8_0","min_vram_gb":4},{"id":"stable-audio-medium","display_name":"Stable Audio 3 Medium (gen)","family":"stable_audio","path":"models/Stable-Audio-3-Medium-GGUF/stable-audio-3-medium-q8_0.gguf","task":"gen","mode":"offline","download_id":"stable_audio_3_medium_q8_0","session_options":{"stable_audio.mem_saver":"true"},"min_vram_gb":10},{"id":"heartmula","display_name":"HeartMuLa 3B (music gen)","family":"heartmula","path":"models/HeartMuLa-GGUF/heartmula-q8_0.gguf","task":"gen","mode":"offline","download_id":"heartmula_q8_0","session_options":{"heartmula.mem_saver":"true"},"min_vram_gb":24},{"id":"minimax-h3","display_name":"MiniMax-H3 Q4 (sound generation)","family":"minimax_h3","path":"models/MiniMax-H3-Q4-GGUF/dit.gguf","task":"gen","mode":"offline","download_id":"minimax_h3_q4_k","min_vram_gb":20,"default_options":{"num_inference_steps":12,"height":32,"width":32,"num_frames":241,"guidance_scale":1,"dit_acceleration":"none","return_video":false},"input_hint_en":"MiniMax-H3 uses a joint audio/video DiT. The default Q4 DiT is the quality-first choice; the optional CUDA-only INT8 ConvRot DiT trades slightly more VRAM for higher speed. Native Studio uses 12 denoising steps, a 32x32 latent canvas, quality-first full-DiT execution, and disables video decoding for practical audio-only generation on a 24 GB GPU."},{"id":"midashenglm-gen","display_name":"MiDashengLM-Gen (audio generation)","family":"midashenglm_gen","path":"models/MiDashengLM-Gen-GGUF/midashenglm-gen-q8_0.gguf","task":"gen","mode":"offline","download_id":"midashenglm_gen_q8_0","min_vram_gb":8,"input_hint_en":"**MiDashengLM-Gen**: text-conditioned audio generation. The duration field controls the generation budget."},{"id":"controlfoley","display_name":"ControlFoley (Foley/SFX)","family":"controlfoley","path":"models/ControlFoley-GGUF/controlfoley-large-44k-q8_0.gguf","task":"gen","mode":"offline","download_id":"controlfoley_large_44k_q8_0","min_vram_gb":12,"request_options":["video"],"input_hint_en":"**ControlFoley**: Foley generation from text, video, text+video, audio+video, or video only. Upload video in the Video field; upload source audio for AC-V2A."},{"id":"firered-audio-semantic-edit","display_name":"FireRedAudio Semantic Edit","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"gen","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Semantic Edit**: upload source audio and describe the content edit in Model parameters."},{"id":"firered-audio-acoustic-edit","display_name":"FireRedAudio Acoustic Edit","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"gen","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio Acoustic Edit**: upload source audio and use a trained acoustic instruction such as `shift the pitch by 3 steps`."},{"id":"qwen3-asr","display_name":"Qwen3-ASR 0.6B (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-0.6B-GGUF/qwen3-asr-0.6b-q8_0.gguf","task":"asr","mode":"offline","download_id":"qwen3_asr_0_6b_q8_0","min_vram_gb":3},{"id":"qwen3-asr-1.7b","display_name":"Qwen3-ASR 1.7B HF (asr)","family":"qwen3_asr","path":"models/Qwen3-ASR-1.7B-GGUF/qwen3-asr-1.7b-q8_0.gguf","task":"asr","mode":"offline","download_id":"qwen3_asr_1_7b_q8_0","min_vram_gb":6,"input_hint":"**Qwen3-ASR 1.7B**（HF 原生权重，免转换）：精度高于 0.6B；长音频自动分段转写；8G 卡显存偏紧，长音频建议先短段试跑。","input_hint_en":"**Qwen3-ASR 1.7B**: native Hugging Face weights with no conversion required. It is more accurate than the 0.6B model and automatically chunks long audio; test short clips first on an 8 GB GPU."},{"id":"citrinet-asr","display_name":"Citrinet ASR (asr)","family":"citrinet_asr","path":"models/Citrinet-ASR-GGUF/citrinet-asr-q8_0.gguf","task":"asr","mode":"offline","download_id":"citrinet_asr_q8_0","min_vram_gb":2},{"id":"nemotron-asr","display_name":"Nemotron 3.5 ASR 0.6B (asr, 100+语种)","display_name_en":"Nemotron 3.5 ASR 0.6B (asr, 100+ languages)","family":"nemotron_asr","path":"models/Nemotron-3.5-ASR-Streaming-0.6B-GGUF/nemotron-3.5-asr-streaming-0.6b-q8_0.gguf","task":"asr","mode":"offline","download_id":"nemotron_asr_q8_0","min_vram_gb":4,"input_hint":"**Nemotron ASR**：100+ 语种，语种码为 BCP-47（如 en-US / zh-CN），留空=auto；模型自带长音频处理。","input_hint_en":"**Nemotron ASR**: supports more than 100 languages using BCP-47 codes such as en-US or zh-CN. Leave language blank for automatic detection; long audio is handled by the model."},{"id":"higgs-audio-stt","display_name":"Higgs Audio v3 STT (asr, 英语)","display_name_en":"Higgs Audio v3 STT (asr, English)","family":"higgs_audio_stt","path":"models/Higgs-Audio-v3-STT-GGUF/higgs-audio-v3-stt-q8_0.gguf","task":"asr","mode":"offline","download_id":"higgs_audio_stt_q8_0","min_vram_gb":8,"input_hint":"**Higgs Audio STT**：英语转写；可在文本框填指令（默认相当于 Transcribe the speech.）；离线模式自动切分长音频。","input_hint_en":"**Higgs Audio STT**: English transcription. The text box accepts an instruction; offline mode automatically chunks long audio."},{"id":"hviske-asr","display_name":"Hviske v5.3 (asr, 丹麦语)","display_name_en":"Hviske v5.3 (asr, Danish)","family":"hviske_asr","path":"models/Hviske-v5.3-GGUF/hviske-v5.3_Q8.gguf","task":"asr","mode":"offline","download_id":"hviske_asr_q8_0","min_vram_gb":6,"input_hint":"**Hviske ASR**：丹麦语专用；模型侧自动分段。","input_hint_en":"**Hviske ASR**: dedicated Danish transcription with automatic model-side segmentation."},{"id":"vibevoice-asr","display_name":"VibeVoice ASR (asr, 多语种+说话人分段)","display_name_en":"VibeVoice ASR (asr, multilingual + speaker turns)","family":"vibevoice_asr","path":"models/VibeVoice-ASR-GGUF/vibevoice-asr-q8_0.gguf","task":"asr","mode":"offline","download_id":"vibevoice_asr_q8_0","min_vram_gb":20,"input_hint":"**VibeVoice ASR**：自动语种，可输出分段/说话人轮次；文本框可填上下文提示（如 The recording is a meeting conversation.）。权重 17.3G，8G 卡跑不动。","input_hint_en":"**VibeVoice ASR**: automatic language detection with segment and speaker-turn output. The text box accepts a context prompt. Its 17.3 GB weights require substantially more than 8 GB VRAM."},{"id":"voxtral-realtime","display_name":"Voxtral Mini 4B Realtime (asr, 自动语种+流式)","display_name_en":"Voxtral Mini 4B Realtime (asr, auto + streaming)","family":"voxtral_realtime","path":"models/Voxtral-Mini-4B-Realtime-2602-GGUF/voxtral-mini-4b-realtime-2602-q8_0.gguf","task":"asr","mode":"offline","download_id":"voxtral_realtime_q8_0","min_vram_gb":8},{"id":"fun-asr-nano","display_name":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","display_name_en":"Fun-ASR-Nano 2512 (asr, GGUF Q8)","family":"fun_asr_nano","path":"models/Fun-ASR-Nano-2512-GGUF/fun-asr-nano-2512-q8_0.gguf","task":"asr","mode":"offline","download_id":"fun_asr_nano_2512_q8_0","min_vram_gb":4,"input_hint":"**Fun-ASR-Nano**：轻量离线 ASR；支持 auto/中文/英语/日语。","input_hint_en":"**Fun-ASR-Nano**: lightweight offline ASR; supports auto, Chinese, English and Japanese."},{"id":"parakeet-tdt","display_name":"Parakeet-TDT 0.6B v3 (asr, 流式)","display_name_en":"Parakeet-TDT 0.6B v3 (asr + streaming)","family":"parakeet_tdt","path":"models/Parakeet-TDT-0.6B-v3-GGUF/parakeet-tdt-0.6b-v3-q8_0.gguf","task":"asr","mode":"offline","download_id":"parakeet_tdt_q8_0","min_vram_gb":4,"input_hint":"**Parakeet-TDT**：离线/长音频/流式 ASR；支持多种欧洲语言，留空=自动。","input_hint_en":"**Parakeet-TDT**: offline, long-form and streaming ASR for many European languages; leave language empty for auto."},{"id":"kroko-asr","display_name":"Kroko Community ASR (asr, GGUF Q8)","display_name_en":"Kroko Community ASR (asr, GGUF Q8)","family":"kroko_asr","path":"models/Kroko-ASR-GGUF/kroko-en-community-64-l-q8_0.gguf","task":"asr","mode":"offline","download_id":"kroko_asr_community_q8_0","min_vram_gb":4,"input_hint":"**Kroko Community ASR**：GGUF Q8 包；离线转写，支持时间戳。","input_hint_en":"**Kroko Community ASR**: GGUF Q8 package for offline transcription with timestamps."},{"id":"granite5asr","display_name":"Granite Speech 5.0 470M TurboCTC (asr)","display_name_en":"Granite Speech 5.0 470M TurboCTC (asr)","family":"granite5asr","path":"models/Granite-Speech-5.0-470M-TurboCTC-GGUF/granite-speech-5.0-470m-turboctc-q8_0.gguf","task":"asr","mode":"offline","download_id":"granite5asr_q8_0","min_vram_gb":4,"input_hint":"**Granite Speech 5.0 TurboCTC**：IBM 470M 英语 ASR；超快 Conformer CTC 转写；支持长音频自动分段与流式模式。","input_hint_en":"**Granite Speech 5.0 TurboCTC**: IBM 470M English ASR with ultra-fast Conformer CTC architecture, supporting long-form audio segmentation and streaming mode."},{"id":"sense-asr","display_name":"SenseVoice-Small (asr, 流式, 社区)","display_name_en":"SenseVoice-Small (asr + streaming, community)","family":"sense_asr","path":"models/SenseVoice-Small-GGUF/sensevoice-small-q8-audiocpp-v1.gguf","task":"asr","mode":"offline","download_id":"sensevoice_small_q8","min_vram_gb":4,"input_hint":"**SenseVoice-Small**（社区模型）：多语种 ASR，事件/情感/语言标签，ITN 可开关；离线与流式模式。","input_hint_en":"**SenseVoice-Small** (community): multilingual ASR with event/emotion/language tags, optional ITN; offline and streaming modes."},{"id":"firered-audio-asr","display_name":"FireRedAudio (ASR / audio QA)","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"asr","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio ASR**: upload audio, then use the text box as the transcription or audio-understanding instruction."},{"id":"chatterbox-vc","display_name":"Chatterbox (vc 声音转换)","display_name_en":"Chatterbox (voice conversion)","family":"chatterbox","path":"models/Chatterbox-GGUF/chatterbox-q8_0.gguf","task":"vc","mode":"offline","download_id":"chatterbox_q8_0","min_vram_gb":12,"input_hint":"**Chatterbox VC**：上传源语音和目标音色参考；模型保留源语音内容，将说话人音色转换为目标音色，输出 24kHz 单声道。","input_hint_en":"**Chatterbox VC**: upload source speech and a target-voice reference. It preserves the source content and converts the speaker identity; output is 24 kHz mono."},{"id":"meanvc2","display_name":"MeanVC2 (voice conversion)","display_name_en":"MeanVC2 (voice conversion)","family":"meanvc2","path":"models/MeanVC2-GGUF/meanvc2-120ms-40ms-fp32.gguf","task":"vc","mode":"offline","download_id":"meanvc2_120ms_40ms_f32","min_vram_gb":6,"input_hint":"**MeanVC2**：上传源语音和目标音色参考；默认 120 ms / 40 ms checkpoint 使用 F32 GGUF。","input_hint_en":"**MeanVC2**: upload source speech and a target-voice reference. The default 120 ms / 40 ms checkpoint uses F32 GGUF."},{"id":"vevo2","display_name":"Vevo2 (vc 语音转换, GGUF Q8)","display_name_en":"Vevo2 (voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF/vevo2-q8_0.gguf","task":"vc","mode":"offline","download_id":"vevo2_q8_0","min_vram_gb":6},{"id":"vevo2-svc","display_name":"Vevo2 (svc 歌声转换, GGUF Q8)","display_name_en":"Vevo2 (singing voice conversion, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF/vevo2-q8_0.gguf","task":"svc","mode":"offline","download_id":"vevo2_q8_0","min_vram_gb":6,"input_hint":"**Vevo2 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=style_preserved_svc。style_converted_svc / singing_style_conversion 等风格转换 route 需在『其它参数(JSON)』里补 `style_ref`（服务器本地 wav 路径）/ `style_ref_text` / `target_text`。","input_hint_en":"**Vevo2 singing conversion**: upload source singing and a target-singer reference. The default route is style_preserved_svc; style-conversion routes also accept style_ref, style_ref_text and target_text in Additional options."},{"id":"vevo2-s2s","display_name":"Vevo2 (s2s 语音编辑, GGUF Q8)","display_name_en":"Vevo2 (speech editing, GGUF Q8)","family":"vevo2","path":"models/Vevo2-GGUF/vevo2-q8_0.gguf","task":"s2s","mode":"offline","download_id":"vevo2_q8_0","min_vram_gb":6,"input_hint":"**Vevo2 语音编辑 (s2s)**：上传要编辑的源语音，并在『其它参数(JSON)』里填 `{\\"target_text\\": \\"替换后的完整句子\\"}`（编辑保持原说话人音色，可不上传目标音色）。","input_hint_en":"**Vevo2 speech editing**: upload source speech and set target_text to the complete replacement sentence in Additional options. Editing preserves the original speaker and does not require a target-voice reference."},{"id":"dots-tts-edit","display_name":"DotTTS Edit (speech editing)","family":"dots_tts","path":"models/DotTTS-Edit-GGUF/dots-tts-edit-q8_0.gguf","task":"s2s","mode":"offline","download_id":"dots_tts_edit_q8_0","min_vram_gb":8,"default_options":{"template_name":"edit"},"input_hint_en":"**DotTTS Edit**: upload the source speech and describe the edit in the text box. Optional `instruction`, `source_text`, `target_text` and `use_xvector` overrides can be passed through the JSON box."},{"id":"seed-vc","display_name":"Seed-VC (vc 语音转换)","display_name_en":"Seed-VC (voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf","task":"vc","mode":"offline","download_id":"seed_vc_mlx_q8_0","min_vram_gb":4},{"id":"seed-vc-svc","display_name":"Seed-VC (svc 歌声转换)","display_name_en":"Seed-VC (singing voice conversion)","family":"seed_vc","path":"models/SeedVC-MLX-GGUF/seed-vc-mlx-q8_0.gguf","task":"svc","mode":"offline","download_id":"seed_vc_mlx_q8_0","min_vram_gb":4,"input_hint":"**Seed-VC 歌声转换 (svc)**：上传源歌声 + 目标歌手参考音色，默认 route=v1_svc（带 F0 条件）。可在『其它参数(JSON)』里调 `auto_f0_adjust` / `semi_tone_shift` / `f0_condition`。","input_hint_en":"**Seed-VC singing conversion**: upload source singing and a target-singer reference. The default route is v1_svc with F0 conditioning."},{"id":"rvc","display_name":"RVC (vc, GGUF F16)","display_name_en":"RVC (voice conversion, GGUF F16)","family":"rvc","path":"models/RVC-GGUF/rvc-f16.gguf","task":"vc","mode":"offline","download_id":"rvc_f16","min_vram_gb":4,"input_hint":"**RVC**：所选 GGUF 即目标音色；上传源语音即可转换；索引/音高等选项可用 JSON 传。","input_hint_en":"**RVC**: the selected GGUF is the target voice; upload source speech to convert. Index and pitch options can be passed through the JSON box."},{"id":"miocodec","display_name":"MioCodec (vc; codec dependency)","family":"miocodec","path":"models/MioCodec-25Hz-44.1kHz-v2-GGUF/miocodec-25hz-44khz-v2-q8_0.gguf","task":"vc","mode":"offline","download_id":"miocodec_q8_0","min_vram_gb":3},{"id":"personaplex","display_name":"PersonaPlex 7B v1 (speech conversation)","display_name_en":"PersonaPlex 7B v1 (speech conversation)","family":"personaplex","path":"models/PersonaPlex-GGUF/personaplex-7b-v1-q8_0.gguf","task":"s2s","mode":"offline","download_id":"personaplex_7b_v1_q8_0","min_vram_gb":8,"request_options":["voice_id","system_prompt","temperature","text_temperature","top_k","text_top_k","do_sample","seed"],"input_hint":"**PersonaPlex**：上传用户语音，模型返回语音回复；文本框可填写 assistant system/persona prompt；`voice_id` 选择打包音色，也可上传参考音色覆盖。","input_hint_en":"**PersonaPlex**: upload user speech and receive a spoken response. The text box provides the assistant system/persona prompt; `voice_id` selects a packaged voice, and an uploaded reference voice overrides it."},{"id":"audiosr","display_name":"AudioSR (audio super-resolution)","family":"audiosr","path":"models/AudioSR-GGUF/audiosr-basic-f32.gguf","task":"s2s","mode":"offline","download_id":"audiosr_basic_f32","min_vram_gb":8,"input_hint_en":"**AudioSR**: upload a source audio file to generate a super-resolved output."},{"id":"htdemucs","display_name":"HTDemucs (sep 音源分离)","display_name_en":"HTDemucs (source separation)","family":"htdemucs","path":"models/HTDemucs-GGUF/htdemucs-q8_0.gguf","task":"sep","mode":"offline","download_id":"htdemucs_q8_0","min_vram_gb":3},{"id":"bs-roformer","display_name":"BS-RoFormer (sep 人声分离)","display_name_en":"BS-RoFormer (vocal separation)","family":"bs_roformer","path":"models/BS-RoFormer-ep368-GGUF/bs-roformer-ep368-q8_0.gguf","task":"sep","mode":"offline","download_id":"bs_roformer_q8_0","min_vram_gb":3},{"id":"mel-band-roformer","display_name":"Mel-Band RoFormer (sep 人声分离)","display_name_en":"Mel-Band RoFormer (vocal separation)","family":"mel_band_roformer","path":"models/Mel-Band-RoFormer-GGUF/mel-band-roformer-q8_0.gguf","task":"sep","mode":"offline","download_id":"mel_band_roformer_q8_0","min_vram_gb":3},{"id":"silero-vad","display_name":"Silero VAD (vad, bundled)","family":"silero_vad","path":"assets/framework/models/silero_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"marblenet-vad","display_name":"MarbleNet VAD (vad, bundled)","family":"marblenet_vad","path":"assets/framework/models/marblenet_vad","task":"vad","mode":"offline","min_vram_gb":1},{"id":"sortformer-diar","display_name":"Sortformer Diarization 4spk (diar)","family":"sortformer_diar","path":"models/Sortformer-Diar-4spk-v1-GGUF/sortformer-diar-4spk-v1-q8_0.gguf","task":"diar","mode":"offline","download_id":"sortformer_diar_4spk_v1_q8_0","min_vram_gb":2},{"id":"qwen3-forced-aligner","display_name":"Qwen3 Forced Aligner (align)","family":"qwen3_forced_aligner","path":"models/Qwen3-ForcedAligner-0.6B-GGUF/qwen3-forced-aligner-0.6b-q8_0.gguf","task":"align","mode":"offline","download_id":"qwen3_forced_aligner_0_6b_q8_0","min_vram_gb":3},{"id":"muscriptor-small","display_name":"MuScriptor Small (audio to MIDI)","family":"muscriptor","path":"models/MuScriptor-Small-GGUF/muscriptor-small-f32.gguf","task":"midi","mode":"offline","download_id":"muscriptor_small_f32","min_vram_gb":4},{"id":"qwen3-tts-1.7b-vdesign","display_name":"Qwen3-TTS 1.7B VoiceDesign (vdes)","family":"qwen3_tts","path":"models/Qwen3-TTS-12Hz-1.7B-VoiceDesign-GGUF/qwen3-tts-12hz-1.7b-voicedesign-q8_0.gguf","task":"vdes","mode":"offline","download_id":"qwen3_tts_1_7b_voicedesign_q8_0","min_vram_gb":8,"input_hint":"**Qwen3-TTS VoiceDesign**：在『音色描述』里用文字描述想要的声音（如“低沉磁性的中年男声，语速偏慢”），配上要念的文本即可，无需参考音频。","input_hint_en":"**Qwen3-TTS VoiceDesign**: describe the desired voice, then enter the text to synthesize. No reference recording is required."},{"id":"fireredtts3-instruct-vdesign","display_name":"FireRedTTS3 Instruct VoiceDesign","family":"fireredtts3","path":"models/FireRedTTS3-Instruct-GGUF/fireredtts3-instruct-q8_0.gguf","task":"vdes","mode":"offline","download_id":"fireredtts3_instruct_q8_0","min_vram_gb":8,"input_hint_en":"**FireRedTTS3 VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize."},{"id":"firered-audio-vdesign","display_name":"FireRedAudio VoiceDesign","family":"firered_audio","path":"models/FireRedAudio-GGUF/firered-audio-q8_0.gguf","task":"vdes","mode":"offline","download_id":"firered_audio_q8_0","min_vram_gb":10,"input_hint_en":"**FireRedAudio VoiceDesign**: describe the target voice in Voice description, then enter the text to synthesize."},{"id":"irodori-tts-vdesign","display_name":"Irodori-TTS v4 Small VoiceDesign (vdes 日语, GGUF Q8)","display_name_en":"Irodori-TTS v4 Small VoiceDesign (ja vdes, GGUF Q8)","family":"irodori_tts","path":"models/Irodori-TTS-v4-Small-GGUF/irodori-tts-v4-small-q8_0.gguf","task":"vdes","mode":"offline","download_id":"irodori_tts_v4_small_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v4 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v4 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."},{"id":"irodori-tts-v3-vdesign","display_name":"Irodori-TTS 600M v3 VoiceDesign (vdes 日语)","display_name_en":"Irodori-TTS 600M v3 VoiceDesign (ja vdes)","family":"irodori_tts","path":"models/Irodori-TTS-600M-v3-VoiceDesign-GGUF/irodori-tts-600m-v3-voicedesign-q8_0.gguf","task":"vdes","mode":"offline","download_id":"irodori_tts_600m_v3_voicedesign_q8_0","min_vram_gb":4,"input_hint":"**Irodori-TTS v3 VoiceDesign**（日语）：『音色描述』用日语 caption 描述音色（如「落ち着いた大人の男性。深く響く声。」），文本填要念的日语内容，无需参考音频。","input_hint_en":"**Irodori-TTS v3 VoiceDesign**: provide a Japanese voice caption and Japanese synthesis text. No reference recording is required."},{"id":"moss-voicegen","display_name":"MOSS-VoiceGenerator (voice design)","family":"moss_voicegen","path":"models/MOSS-VoiceGenerator-GGUF/moss_voicegen_bf16_codec_f16_decode.gguf","task":"vdes","mode":"offline","download_id":"moss_voicegen_bf16_codec_f16_decode","min_vram_gb":8,"input_hint_en":"**MOSS-VoiceGenerator**: Apache-2.0 voice design -- the speaker comes from a written description instead of a reference recording. The model reads the description from the `instruct` option, so pass it in the JSON box (for example {\\"instruct\\": \\"A warm male radio voice in his fifties, calm.\\"}); it also expects full language names such as English or Chinese rather than en/zh."}]')},Rv={echo_tts:[{name:"num_inference_steps",type:"slider",label:"num_inference_steps",label_en:"Sampling steps",default:40,minimum:8,maximum:120,step:1,precision:0,info:"Euler sampler steps.",info_en:"Euler sampler steps. No upper bound in the model; higher is slower and steadier."},{name:"text_guidance_scale",type:"slider",label:"text_guidance_scale",label_en:"Text guidance",default:3,minimum:0,maximum:10,step:.1},{name:"speaker_guidance_scale",type:"slider",label:"speaker_guidance_scale",label_en:"Speaker guidance",default:8,minimum:0,maximum:15,step:.1},{name:"truncation_factor",type:"slider",label:"truncation_factor",label_en:"Noise truncation",default:.8,minimum:0,maximum:1,step:.05},{name:"guidance_interval",type:"slider",label:"guidance_interval",label_en:"Guidance interval",default:1,minimum:1,maximum:3,step:1,precision:0,info:"Refresh the unconditional CFG lanes every Nth guided step. Higher is faster and works best with more steps; 1 is highest fidelity."},{name:"reference_duration_sec",type:"slider",label:"reference_duration_sec",label_en:"Reference trim (s)",default:15,minimum:1,maximum:60,step:1,info:"Trim the speaker reference before encoding. Around 10 s usually clones best."}],_comment:'WebUI 模型参数控件配置：按 catalog 条目 id 或 family 生成控件。每项字段：name=选项键(随请求 options 透传给模型)；type=slider|number|bool|text|choice；label/label_en、info/info_en、placeholder/placeholder_en=显示文案；default=默认值；minimum/maximum/step=数值范围；precision=0 表示整数；choices=下拉候选。 BEHAVIOUR: the native UI seeds every control from its `default` and sends the whole set with every request (webui/native/src/routes/+page.svelte resetParams/requestOptions), so a `default` here is an UNCONDITIONAL OVERRIDE of the model\'s own default, never a fallback. Every default must therefore be read from the C++ (src/models/<family>/, src/community_models/<family>/) or from the packaged config the C++ derives it from. To let the model or its checkpoint decide, OMIT `default`: the control then sends "", and runtime::find_option_match (src/framework/runtime/options.cpp:151) ignores empty values, so the option counts as unset. Use type=number/text for those so the widget renders blank. `minimum` must not sit below the C++ guard - a slider that can reach an illegal value produces a 500. KEYS: ~27 families call runtime::validate_spec_backed_request_options (include/engine/framework/runtime/spec_backed_model.h:59) and hard-reject any key absent from model_specs/<family>.json options.request - the KEY is checked even when the value is empty. Spec min/max are documentation only and are never enforced. L10N: catalog.ts discards any label/info/placeholder containing Han characters, so every entry needs the _en variant or it renders as raw snake_case. 勿在此重复：seed/max_tokens 已有专用输入框(服务端用顶层 seed 覆盖 options["seed"]，app/server/runtime.cpp:1876)；参考文本用『参考文本』框(reference_text)；语种用顶层 language 框。文件路径/说话人向量/parity 类参数(如 *_noise_file、speaker_embedding、multi_reference_cond)未纳入，可用『其它参数(JSON)』兜底框传。',qwen3_tts:[{name:"temperature",type:"slider",label:"temperature",default:.9,minimum:.05,maximum:2,step:.05,info_en:"Must be above 0 while do_sample is on."},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.05,minimum:1,maximum:2,step:.01},{name:"do_sample",type:"bool",label:"do_sample",default:!0},{name:"subtalker_do_sample",type:"bool",label:"subtalker_do_sample",label_en:"Sub-talker: sample",default:!0},{name:"subtalker_temperature",type:"slider",label:"subtalker_temperature",label_en:"Sub-talker: temperature",default:.9,minimum:.05,maximum:2,step:.05,info_en:"Must be above 0 while subtalker_do_sample is on."},{name:"subtalker_top_k",type:"number",label:"subtalker_top_k",label_en:"Sub-talker: top-k",default:50,minimum:0,step:1,precision:0},{name:"subtalker_top_p",type:"slider",label:"subtalker_top_p",label_en:"Sub-talker: top-p",default:1,minimum:0,maximum:1,step:.01},{name:"x_vector_only_mode",type:"bool",label:"x_vector_only_mode（仅 VoiceClone）",label_en:"x_vector_only_mode (VoiceClone only)",default:!1,info_en:"Condition on the speaker embedding alone instead of in-context reference audio. Ignored by other variants."},{name:"instruct",type:"text",label:"instruct（仅 VoiceDesign/CustomVoice）",label_en:"instruct (VoiceDesign / CustomVoice only)",default:"",placeholder:"风格/音色指令，Base 版忽略",placeholder_en:"Style or timbre instruction; ignored by Base models"},{name:"speaker",type:"text",label:"speaker（仅 CustomVoice）",label_en:"speaker (CustomVoice only)",default:"",placeholder:"内置音色名，其它版忽略",placeholder_en:"Built-in voice name; ignored by other variants"}],vibevoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",minimum:1,step:1,precision:0,info:"留空=用模型自带的 ddpm_num_inference_steps（随包，7B 为 20）",info_en:"Blank uses the packaged model's own ddpm_num_inference_steps (20 in the shipped 7B). Setting a value overrides it for every request."},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1.3,minimum:0,maximum:5,step:.1,info:"CFG 引导强度",info_en:"Classifier-free guidance strength."},{name:"max_length_times",type:"number",label:"max_length_times",default:2,minimum:.1,step:.1,info:"最大输出长度倍数",info_en:"Cap on output length as a multiple of the estimated token count."},{name:"temperature",type:"slider",label:"temperature",default:1,minimum:.05,maximum:2,step:.05},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:.05,maximum:1,step:.01},{name:"top_k",type:"number",label:"top_k",label_en:"Top-k",default:50,minimum:0,step:1,precision:0,info_en:"Must be non-negative; 0 disables top-k."},{name:"do_sample",type:"bool",label:"do_sample",default:!1},{name:"voice_samples",type:"text",label:"voice_samples（多说话人，逗号分隔 wav，≤4）",label_en:"voice_samples (multi-speaker: comma-separated WAVs, max 4)",default:"",placeholder:"D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色",placeholder_en:"/a.wav,/b.wav - do not also upload a reference voice when using this"}],voxcpm2:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"CFM/DiT 步数",info_en:"CFM/DiT sampling steps."},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",default:"tag_aware",choices:["default","tag_aware","japanese","endline"]},{name:"min_tokens",type:"number",label:"min_tokens",default:2,minimum:0,step:1,precision:0},{name:"retry_badcase",type:"bool",label:"retry_badcase（自动重试异常输出）",label_en:"retry_badcase (auto-retry bad generations)",default:!0},{name:"retry_badcase_max_times",type:"number",label:"retry_badcase_max_times（最大重试次数）",label_en:"Retry attempts",default:3,minimum:1,step:1,precision:0,info_en:"Must be positive."},{name:"retry_badcase_ratio_threshold",type:"number",label:"retry_badcase_ratio_threshold（时长/字数比阈值）",label_en:"Retry length-ratio threshold",default:6,minimum:.1,step:.5,info_en:"Audio-seconds-per-character ratio above which a take is treated as a bad case. Must be positive."}],voxcpm1:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0,info:"CFM/DiT 步数",info_en:"CFM/DiT sampling steps."},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",label_en:"Text chunk mode",default:"tag_aware",choices:["default","tag_aware","japanese","endline"]},{name:"min_tokens",type:"number",label:"min_tokens",default:2,minimum:0,step:1,precision:0},{name:"retry_badcase",type:"bool",label:"retry_badcase（自动重试异常输出）",label_en:"retry_badcase (auto-retry bad generations)",default:!0},{name:"retry_badcase_max_times",type:"number",label:"retry_badcase_max_times（最大重试次数）",label_en:"Retry attempts",default:3,minimum:1,step:1,precision:0,info_en:"Must be positive."},{name:"retry_badcase_ratio_threshold",type:"number",label:"retry_badcase_ratio_threshold（时长/字数比阈值）",label_en:"Retry length-ratio threshold",default:6,minimum:.1,step:.5,info_en:"Audio-seconds-per-character ratio above which a take is treated as a bad case. Must be positive."}],miotts:[{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"top_k",type:"number",label:"top_k",default:50,minimum:0,step:1,precision:0},{name:"top_p",type:"slider",label:"top_p",default:1,minimum:0,maximum:1,step:.01},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1,minimum:1,maximum:1.5,step:.01},{name:"miotts.best_of_n",type:"number",label:"miotts.best_of_n（候选数，>1 自动开启）",label_en:"best_of_n (candidate count; >1 enables best-of-N selection)",default:1,minimum:1,maximum:8,step:1,precision:0}],chatterbox:[{name:"exaggeration",type:"slider",label:"exaggeration",default:.5,minimum:0,maximum:2,step:.05,info_en:"Applied at model load; reload the model after changing it."},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.5,minimum:0,maximum:1,step:.05,info_en:"Applied at model load; reload the model after changing it."},{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:0,maximum:2,step:.05},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:1.2,minimum:1,maximum:2,step:.01},{name:"min_p",type:"slider",label:"min_p",label_en:"Min-p",default:.05,minimum:0,maximum:1,step:.01,info_en:"Chatterbox's real truncation filter: tokens below max_prob * min_p are masked. top_p defaults to 1.0 and is a deliberate no-op."},{name:"top_p",type:"slider",label:"top_p",label_en:"Top-p",default:1,minimum:0,maximum:1,step:.01,info_en:"Inert at 1.0 by design; lower it only if you also raise min_p out of the way."},{name:"s3gen_cfg_rate",type:"slider",label:"s3gen_cfg_rate",label_en:"S3Gen guidance",default:.7,minimum:0,maximum:2,step:.05}],"chatterbox-vc":[{name:"s3gen_cfg_rate",type:"slider",label:"s3gen_cfg_rate（音色引导强度）",label_en:"s3gen_cfg_rate (voice guidance)",default:.7,minimum:0,maximum:2,step:.05},{name:"num_inference_steps",type:"number",label:"num_inference_steps（生成步数）",label_en:"num_inference_steps",default:10,minimum:1,maximum:100,step:1,precision:0}],omnivoice:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:32,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:5,step:.1},{name:"speed",type:"slider",label:"speed",default:1,minimum:.5,maximum:2,step:.05},{name:"instruct",type:"text",label:"instruct（风格/音色指令）",label_en:"instruct (style / voice instruction)",default:"",placeholder:"如：以轻快的语气朗读",placeholder_en:"e.g. read this in a bright, upbeat tone"},{name:"reference_max_seconds",type:"number",label:"reference_max_seconds（参考音频最长秒数）",label_en:"Reference cap (s)",default:15,minimum:0,step:1,info:"参考超过约 15 s 后音色克隆明显劣化；0=不限制",info_en:"Cloning quality collapses past roughly 15 s of reference speech; the clip is cut back to the last pause inside this window. 0 disables the limit."},{name:"reference_pad_ms",type:"number",label:"reference_pad_ms",label_en:"Reference silence pad (ms)",default:150,minimum:0,step:10,precision:0,info_en:"Digital silence written onto both ends of a trimmed reference. Must be non-negative."},{name:"t_shift",type:"slider",label:"t_shift",label_en:"Timestep shift",default:.1,minimum:0,maximum:1,step:.01},{name:"class_temperature",type:"slider",label:"class_temperature",label_en:"Class temperature",default:0,minimum:0,maximum:2,step:.05,info_en:"0 picks the argmax token; above 0 samples the codebook class."},{name:"position_temperature",type:"slider",label:"position_temperature",label_en:"Position temperature",default:5,minimum:0,maximum:20,step:.5,info_en:"0 disables Gumbel sampling of the unmasking order."},{name:"layer_penalty_factor",type:"slider",label:"layer_penalty_factor",label_en:"Layer penalty",default:5,minimum:0,maximum:20,step:.5,info_en:"Score penalty per codebook layer when choosing which position to unmask next."},{name:"denoise",type:"bool",label:"denoise",label_en:"Denoise reference",default:!0},{name:"preprocess_prompt",type:"bool",label:"preprocess_prompt",label_en:"Preprocess reference",default:!0},{name:"postprocess_output",type:"bool",label:"postprocess_output",label_en:"Postprocess output",default:!0},{name:"audio_chunk_threshold",type:"number",label:"audio_chunk_threshold",label_en:"Long-form chunk threshold (s)",default:30,minimum:0,step:1},{name:"audio_chunk_duration",type:"number",label:"audio_chunk_duration",label_en:"Long-form chunk length (s)",default:15,minimum:0,step:1},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",label_en:"Text chunk mode",default:"tag_aware",choices:["default","tag_aware","japanese","endline"]}],sense_asr:[{name:"enable_itn",type:"bool",label:"enable_itn（逆文本规范化）",label_en:"enable_itn",default:!0},{name:"keep_tags",type:"bool",label:"keep_tags（保留语言/情绪/事件标签）",label_en:"keep_tags",default:!1},{name:"audio_chunk_mode",type:"choice",label:"audio_chunk_mode",label_en:"Audio chunk mode",default:"auto",choices:["auto","fixed","vad","none"],info_en:"vad segments on detected speech; auto and vad share the same code path."},{name:"audio_chunk_duration_sec",type:"number",label:"audio_chunk_duration_sec",label_en:"Audio chunk length (s)",default:30,minimum:.001,step:1}],pocket_tts:[{name:"frames_after_eos",type:"number",label:"frames_after_eos（-1=自动）",label_en:"frames_after_eos (-1 = automatic)",default:-1,minimum:-1,step:1,precision:0}],neutts:[{name:"voice_id",type:"choice",label:"voice_id（内置音色）",label_en:"voice_id (built-in voice)",default:"emily",choices:["dave","emily","greta","jo","juliette","mateo","paul","sophie","steven"]},{name:"emotion",type:"choice",label:"emotion（情绪）",label_en:"emotion",default:"neutral",choices:["angry","disgusted","sad","happy","fearful","neutral","surprised"]},{name:"temperature",type:"slider",label:"temperature",label_en:"Temperature",default:1,minimum:.05,maximum:2,step:.05,info_en:"Must be positive."},{name:"top_k",type:"number",label:"top_k",label_en:"Top-k",default:50,minimum:1,step:1,precision:0,info_en:"Must be positive."},{name:"min_tokens",type:"number",label:"min_tokens",label_en:"Min speech tokens",default:50,minimum:0,step:1,precision:0,info_en:"Minimum tokens generated before an end-of-speech token may stop decoding."}],magpie_tts:[{name:"language",type:"choice",label:"language",default:"en",choices:["en","ar-AE","ar-MSA","ar-SA","de","es","fr","hi","it","ko","pt-BR","vi","zh"]},{name:"voice_id",type:"choice",label:"voice_id（打包音色）",label_en:"voice_id (packaged 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1]."},{name:"top_k",type:"number",label:"top_k",default:30,minimum:1,step:1,precision:0},{name:"num_beams",type:"number",label:"num_beams",default:3,minimum:1,step:1,precision:0},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",default:10,minimum:0,maximum:20,step:.1},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:25,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:.7,minimum:0,maximum:2,step:.05},{name:"text_chunk_size",type:"number",label:"text_chunk_size",default:80,minimum:1,step:1,precision:0},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",default:"default",choices:["default","tag_aware","japanese","endline"]},{name:"cross_fade_duration_sec",type:"number",label:"cross_fade_duration_sec",default:.3,minimum:0,step:.05},{name:"edge_fade_duration_sec",type:"number",label:"edge_fade_duration_sec",default:.1,minimum:0,step:.05},{name:"edge_pad_duration_sec",type:"number",label:"edge_pad_duration_sec",default:.1,minimum:0,step:.05}],ace_step:[{name:"route",type:"choice",label:"route（操作类型）",label_en:"route (task)",default:"text2music",choices:["text2music","complete","lego","extract","cover","cover-nofsq","repaint"],info:"cover/cover-nofsq=换词翻唱；非 text2music 需上传源音频；详见 webui/README.md",info_en:"cover and cover-nofsq re-sing new lyrics. Every route except text2music needs a source audio upload; see webui/README.md."},{name:"negative_prompt",type:"text",label:"negative_prompt",label_en:"Negative prompt",default:"",placeholder_en:`Blank uses the model's "NO USER INPUT" placeholder`},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,maximum:20,step:1,precision:0,info:"扩散步数；turbo 权重会被静默限制为 8",info_en:"Diffusion steps. Turbo checkpoints are silently clamped to 8; only base checkpoints use more."},{name:"shift",type:"slider",label:"shift（时间步弯曲）",label_en:"shift (timestep curve)",default:1,minimum:1,maximum:5,step:.5,info:"官方默认 1.0；extract 路由由模型自动改用 3.0",info_en:"Model default is 1.0. The extract route sets 3.0 itself, so leaving this at 1.0 no longer overrides it."},{name:"guidance_scale",type:"slider",label:"guidance_scale",label_en:"Guidance scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_cover_strength",type:"slider",label:"【cover】audio_cover_strength",label_en:"audio_cover_strength (cover routes)",default:1,minimum:0,maximum:1,step:.05,info:"1=贴近原曲，0=自由发挥；建议 0.5",info_en:"1 hugs the source track, 0 improvises. Around 0.5 works well."},{name:"cover_noise_strength",type:"slider",label:"【cover】cover_noise_strength",label_en:"cover_noise_strength (cover routes)",default:0,minimum:0,maximum:1,step:.05,info:"保旋律强度；推荐 0.1~0.25",info_en:"Melody retention. 0.1 to 0.25 is the usual range."},{name:"bpm",type:"number",label:"【曲谱】BPM",label_en:"BPM",default:0,minimum:0,step:1,precision:0,info:"0=不指定",info_en:"0 leaves the tempo unspecified."},{name:"keyscale",type:"text",label:"【曲谱】keyscale",label_en:"Key / scale",default:"",placeholder:"如 F major",placeholder_en:"e.g. F major"},{name:"timesignature",type:"text",label:"【曲谱】timesignature",label_en:"Time signature",default:"",placeholder:"如 4",placeholder_en:"e.g. 4"}],minimax_music3:[{name:"num_inference_steps",type:"number",label:"Flow steps per window",default:30,minimum:1,maximum:200,step:1,precision:0,info:"Flow-matching Euler steps per 200-frame denoising window."},{name:"guidance_scale",type:"slider",label:"Flow guidance scale",default:1.7,minimum:0,maximum:10,step:.1},{name:"ar_guidance_scale",type:"slider",label:"AR guidance scale",default:1.5,minimum:0,maximum:10,step:.1,info:"Classifier-free guidance of the semantic and residual code sampling."},{name:"top_k",type:"number",label:"top_k",default:50,minimum:1,maximum:1024,step:1,precision:0},{name:"ensemble_takes",type:"number",label:"ensemble_takes",label_en:"Ensemble takes",default:1,minimum:1,maximum:16,step:1,precision:0,info_en:"Decode N independent takes in one batched pass (seeds seed, seed+1, ...). Extra takes are returned as take_01...take_NN."},{name:"ensemble_prefix_frames",type:"number",label:"ensemble_prefix_frames",label_en:"Ensemble intro lock (frames)",default:0,minimum:0,step:10,precision:0,info_en:"Decode the first N frames once and share them across takes before they diverge. 0 disables the fork."},{name:"flow_uncond_interval",type:"number",label:"flow_uncond_interval",label_en:"Flow CFG reuse interval",default:1,minimum:1,step:1,precision:0,info_en:"Above 1 reuses the cached guidance delta on intermediate steps: faster, slightly off the exact reference trajectory. 1 is exact."},{name:"flow_uncond_warmup",type:"number",label:"flow_uncond_warmup",label_en:"Flow CFG warmup steps",default:2,minimum:0,step:1,precision:0,info_en:"Leading steps that always evaluate the unconditional branch when reuse is on."},{name:"flow_chunk_hop_frames",type:"number",label:"flow_chunk_hop_frames",label_en:"Flow chunk hop (frames)",default:0,minimum:0,step:10,precision:0,info_en:"0 uses the model config's hop of 100. A larger hop means fewer chunks and less double-denoising."}],minimax_h3:[{name:"num_inference_steps",type:"number",label:"Denoising steps",default:12,minimum:1,maximum:50,step:1,precision:0,info:"Twelve denoising steps provide a practical quality and performance balance."},{name:"num_frames",type:"number",label:"Output frames",default:241,minimum:5,maximum:1441,step:4,precision:0,info:"Approximately 24 frames per output second; 241 frames produces about 10 seconds of audio."},{name:"guidance_scale",type:"slider",label:"Guidance scale",default:1,minimum:0,maximum:5,step:.1},{name:"sampler",type:"choice",label:"Sampler",default:"euler",choices:["euler","res_multistep","dpmpp_2m","unipc"]},{name:"dit_acceleration",type:"choice",label:"DiT acceleration",default:"none",choices:["none","spectrum","first_block_cache"],info:"None uses the quality-first full-DiT path. Acceleration modes are experimental and may distort some outputs."},{name:"return_video",type:"bool",label:"Decode video",default:!1,info:"Disabled by default to reduce memory use and return audio only."},{name:"negative_prompt",type:"text",label:"negative_prompt",label_en:"Negative prompt",default:"",placeholder_en:"Blank uses the model default"}],stable_audio:[{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:8,minimum:1,step:1,precision:0,info:"RF 扩散步数",info_en:"Rectified-flow sampling steps."},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1,minimum:0,maximum:5,step:.1},{name:"audio_input_kind",type:"choice",label:"audio_input_kind（仅上传源音频时生效）",label_en:"audio_input_kind (only used when a source audio file is uploaded)",default:"init_audio",choices:["init_audio","inpaint_audio"]},{name:"init_noise_level",type:"slider",label:"init_noise_level（init_audio 强度）",label_en:"init_noise_level (init_audio strength)",default:1,minimum:0,maximum:1,step:.05},{name:"negative_prompt",type:"text",label:"negative_prompt",label_en:"Negative prompt",default:"",placeholder_en:"Blank applies no negative conditioning"},{name:"sampler",type:"choice",label:"sampler",label_en:"Sampler",default:"pingpong",choices:["pingpong","euler"],info_en:"Only pingpong and euler are accepted; the dpmpp entries in the CLI help text are rejected by the parser."}],seed_vc:[{name:"route",type:"choice",label:"route（转换路径）",label_en:"route (conversion path)",default:"",choices:["","v2_vc","v1_whisper_bigvgan_vc","v1_xlsr_hift_vc","v1_svc"],info:"留空=按任务默认",info_en:"Blank = pick the default path for the selected task."},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:30,minimum:1,step:1,precision:0,info:"CFM 扩散步数",info_en:"CFM diffusion steps."},{name:"length_adjust",type:"slider",label:"length_adjust（时长伸缩）",label_en:"length_adjust (duration stretch)",default:1,minimum:.5,maximum:2,step:.05},{name:"intelligibility_guidance_scale",type:"slider",label:"intelligibility_guidance_scale（仅 v2_vc）",label_en:"Intelligibility guidance (v2_vc only)",default:.7,minimum:0,maximum:1,step:.05},{name:"similarity_guidance_scale",type:"slider",label:"similarity_guidance_scale（仅 v2_vc）",label_en:"Similarity guidance (v2_vc only)",default:.7,minimum:0,maximum:1,step:.05},{name:"inference_guidance_scale",type:"slider",label:"inference_guidance_scale（仅 v1 路径）",label_en:"Inference guidance (v1 paths only)",default:.7,minimum:0,maximum:1,step:.05},{name:"f0_condition",type:"bool",label:"f0_condition（仅 v1 路径）",label_en:"f0_condition (v1 routes only)",default:!1,info_en:"Enable F0 conditioning. Required for singing voice conversion on the v1_svc route."},{name:"auto_f0_adjust",type:"bool",label:"auto_f0_adjust（仅 v1 路径）",label_en:"auto_f0_adjust (v1 routes only)",default:!1,info_en:"Shift the source pitch toward the target speaker's pitch level."},{name:"semitone_shift",type:"number",label:"semitone_shift（仅 v1 路径）",label_en:"semitone_shift (v1 routes only)",default:0,minimum:-24,maximum:24,step:1,precision:0}],rvc:[{name:"voice_id",type:"choice",label:"voice_id（打包音色）",label_en:"voice_id",default:"default",choices:["default","manthos","chocola","fraise"]},{name:"voice_model_path",type:"text",label:"voice_model_path（自定义 RVC .pth/.pt）",label_en:"voice_model_path",default:"",placeholder:"留空=使用打包音色",placeholder_en:"Blank = use the packaged voice"},{name:"retrieval_index_path",type:"text",label:"retrieval_index_path（FAISS index）",label_en:"retrieval_index_path",default:"",placeholder:"可选 .index 路径",placeholder_en:"Optional .index path"},{name:"retrieval_blend",type:"slider",label:"retrieval_blend",default:0,minimum:0,maximum:1,step:.05},{name:"semitone_shift",type:"number",label:"semitone_shift（半音变调）",label_en:"semitone_shift",default:0,step:1,precision:0},{name:"pitch_filter_radius",type:"number",label:"pitch_filter_radius",default:3,minimum:0,step:1,precision:0},{name:"output_sample_rate",type:"number",label:"output_sample_rate（0=跟随音色）",label_en:"output_sample_rate (0 = voice default)",default:0,minimum:0,step:1e3,precision:0},{name:"rms_mix_rate",type:"slider",label:"rms_mix_rate",default:.25,minimum:0,maximum:1,step:.05},{name:"unvoiced_protection",type:"slider",label:"unvoiced_protection",default:.33,minimum:0,maximum:1,step:.01},{name:"speaker_id",type:"number",label:"speaker_id",default:0,minimum:0,step:1,precision:0},{name:"audio_pad_duration_sec",type:"number",label:"audio_pad_duration_sec",default:1,minimum:1,step:1,precision:0},{name:"split_query_sec",type:"number",label:"split_query_sec",default:5,minimum:1,step:1,precision:0},{name:"split_center_sec",type:"number",label:"split_center_sec",default:30,minimum:1,step:1,precision:0},{name:"split_threshold_sec",type:"number",label:"split_threshold_sec",default:32,minimum:1,step:1,precision:0}],personaplex:[{name:"voice_id",type:"choice",label:"voice_id（打包音色）",label_en:"voice_id (packaged voice)",default:"NATF2",choices:["NATF0","NATF1","NATF2","NATF3","NATM0","NATM1","NATM2","NATM3","VARF0","VARF1","VARF2","VARF3","VARF4","VARM0","VARM1","VARM2","VARM3","VARM4"]},{name:"system_prompt",type:"text",label:"system_prompt",default:"",placeholder:"Leave blank to use the text box as the system prompt."},{name:"temperature",type:"slider",label:"temperature",default:.8,minimum:.05,maximum:2,step:.05,info_en:"Must be above 0 while do_sample is on."},{name:"text_temperature",type:"number",label:"text_temperature",label_en:"text_temperature (blank follows temperature)",minimum:.05,maximum:2,step:.05,info_en:"Blank makes the text head follow temperature. 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within (0, 1]."},{name:"top_k",type:"number",label:"top_k",label_en:"Top-k",default:30,minimum:1,step:1,precision:0,info_en:"Must be positive."},{name:"repetition_penalty",type:"slider",label:"repetition_penalty",label_en:"Repetition penalty",default:10,minimum:0,maximum:20,step:.1},{name:"num_beams",type:"number",label:"num_beams",label_en:"Beam count",default:3,minimum:1,step:1,precision:0,info_en:"Must be positive."},{name:"length_penalty",type:"slider",label:"length_penalty",label_en:"Length penalty",default:0,minimum:-2,maximum:2,step:.1}],irodori_tts:[{name:"num_inference_steps",type:"number",label:"num_inference_steps（RF 扩散步数）",label_en:"num_inference_steps",default:40,minimum:1,step:1,precision:0},{name:"duration_sec",type:"number",label:"duration_sec（0=模型自动预测时长）",label_en:"duration_sec (0 = 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style description; ignored by checkpoints without caption 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than 0.64 s produces an empty sync sequence and fails."},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:25,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:4.5,minimum:.1,maximum:10,step:.1,info_en:"Must be positive."},{name:"negative_prompt",type:"text",label:"negative_prompt",default:"",placeholder:"optional negative prompt"},{name:"mask_away_clip",type:"bool",label:"mask_away_clip",default:!1}],midashenglm_gen:[{name:"duration_sec",type:"number",label:"duration_sec",default:20,minimum:.1,step:.5},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"stop_threshold",type:"slider",label:"stop_threshold",default:.5,minimum:0,maximum:1,step:.05},{name:"min_stop_step",type:"number",label:"min_stop_step",default:5,minimum:1,step:1,precision:0,info_en:"Must be positive."}],"fireredtts3-base":[{name:"language",type:"choice",label:"language",default:"Chinese",choices:["Chinese","English","Cantonese","Japanese","Korean","Spanish","French","Russian","Arabic","Turkish","Indonesian","Portuguese","Italian","Dutch","Vietnamese","German","Ukrainian","Thai","Polish","Romanian","Greek","Czech","Finnish","Hindi","ZH_Anhui","ZH_Fujian","ZH_Gansu","ZH_Guizhou","ZH_Hebei","ZH_Henan","ZH_Hubei","ZH_Hunan","ZH_Jiangxi","ZH_Liaoning","ZH_Minnan","ZH_Ningxia","ZH_Shaanxi","ZH_Shandong","ZH_Shanghai","ZH_Shanxi","ZH_Sichuan","ZH_Tianjin","ZH_Wenzhou","ZH_Wu","ZH_Yunnan"]},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"stop_threshold",type:"slider",label:"stop_threshold",default:.5,minimum:0,maximum:1,step:.05}],"fireredtts3-instruct":[{name:"template_name",type:"choice",label:"template_name",default:"instruct_tts",choices:["instruct_tts"]},{name:"language",type:"choice",label:"language",default:"Chinese",choices:["Chinese","English","Cantonese","Japanese","Korean","Spanish","French","Russian","Arabic","Turkish","Indonesian","Portuguese","Italian","Dutch","Vietnamese","German","Ukrainian","Thai","Polish","Romanian","Greek","Czech","Finnish","Hindi","ZH_Anhui","ZH_Fujian","ZH_Gansu","ZH_Guizhou","ZH_Hebei","ZH_Henan","ZH_Hubei","ZH_Hunan","ZH_Jiangxi","ZH_Liaoning","ZH_Minnan","ZH_Ningxia","ZH_Shaanxi","ZH_Shandong","ZH_Shanghai","ZH_Shanxi","ZH_Tianjin","ZH_Wenzhou","ZH_Wu","ZH_Yunnan"]},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"stop_threshold",type:"slider",label:"stop_threshold",default:.5,minimum:0,maximum:1,step:.05},{name:"text_chunk_size",type:"number",label:"text_chunk_size",default:600,minimum:1,step:1,precision:0},{name:"text_chunk_mode",type:"choice",label:"text_chunk_mode",default:"default",choices:["default","tag_aware","japanese","endline"]}],"fireredtts3-instruct-vdesign":[{name:"template_name",type:"choice",label:"template_name",default:"voice_design",choices:["voice_design"]},{name:"language",type:"choice",label:"language",default:"Chinese",choices:["Chinese","English","Cantonese","Japanese","Korean","Spanish","French","Russian","Arabic","Turkish","Indonesian","Portuguese","Italian","Dutch","Vietnamese","German","Ukrainian","Thai","Polish","Romanian","Greek","Czech","Finnish","Hindi","ZH_Anhui","ZH_Fujian","ZH_Gansu","ZH_Guizhou","ZH_Hebei","ZH_Henan","ZH_Hubei","ZH_Hunan","ZH_Jiangxi","ZH_Liaoning","ZH_Minnan","ZH_Ningxia","ZH_Shaanxi","ZH_Shandong","ZH_Shanghai","ZH_Shanxi","ZH_Tianjin","ZH_Wenzhou","ZH_Wu","ZH_Yunnan"]},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:1.2,minimum:0,maximum:10,step:.1,info_en:"FireRedTTS3 voice design is tuned for 1.2; 2.0 is the instruct_tts value."},{name:"stop_threshold",type:"slider",label:"stop_threshold",default:.5,minimum:0,maximum:1,step:.05}],"firered-audio-tts":[{name:"template_name",type:"choice",label:"template_name",default:"tts_clone",choices:["tts_clone"]},{name:"language",type:"choice",label:"language",default:"zh",choices:["zh","en"]},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"max_new_audio_steps",type:"number",label:"max_new_audio_steps",default:750,minimum:1,step:1,precision:0},{name:"min_new_audio_steps",type:"number",label:"min_new_audio_steps",label_en:"Min audio steps",default:6,minimum:0,step:1,precision:0,info_en:"Floor on generated audio steps; suppresses truncated outputs. 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Must be non-negative."}],"firered-audio-semantic-edit":[{name:"template_name",type:"choice",label:"template_name",default:"semantic_edit",choices:["semantic_edit"]},{name:"language",type:"choice",label:"language",default:"zh",choices:["zh","en"]},{name:"instruction",type:"text",label:"instruction",default:"",placeholder:"delete '比普通的茶叶要'",placeholder_en:"delete 'the phrase to remove'"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"max_new_audio_steps",type:"number",label:"max_new_audio_steps",default:750,minimum:1,step:1,precision:0},{name:"min_new_audio_steps",type:"number",label:"min_new_audio_steps",label_en:"Min audio steps",default:6,minimum:0,step:1,precision:0,info_en:"Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."},{name:"max_new_text_tokens",type:"number",label:"max_new_text_tokens",default:512,minimum:1,step:1,precision:0}],"firered-audio-acoustic-edit":[{name:"template_name",type:"choice",label:"template_name",default:"acoustic_edit",choices:["acoustic_edit"]},{name:"language",type:"choice",label:"language",default:"zh",choices:["zh","en"]},{name:"instruction",type:"text",label:"instruction",default:"shift the pitch by 3 steps",placeholder:"shift the pitch by 3 steps"},{name:"num_inference_steps",type:"number",label:"num_inference_steps",default:10,minimum:1,step:1,precision:0},{name:"guidance_scale",type:"slider",label:"guidance_scale",default:2,minimum:0,maximum:10,step:.1},{name:"max_new_audio_steps",type:"number",label:"max_new_audio_steps",default:750,minimum:1,step:1,precision:0},{name:"min_new_audio_steps",type:"number",label:"min_new_audio_steps",label_en:"Min audio steps",default:6,minimum:0,step:1,precision:0,info_en:"Floor on generated audio steps; suppresses truncated outputs. Must be non-negative."}],"firered-audio-asr":[{name:"template_name",type:"choice",label:"template_name",default:"asr",choices:["asr","understand"]},{name:"language",type:"choice",label:"language",default:"zh",choices:["zh","en"]},{name:"enable_thinking",type:"bool",label:"enable_thinking",default:!1,info_en:"Rejected by the asr template; use template_name=understand."},{name:"max_new_tokens",type:"number",label:"max_new_tokens",label_en:"max_new_tokens",minimum:1,step:1,precision:0,info_en:"Blank uses 300, or 1024 when enable_thinking is on. 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voce","common.delete":"Elimina","common.cancel":"Annulla","common.close":"Chiudi","common.refresh":"Aggiorna","common.browse":"Sfoglia","common.apply":"Applica","options.modelParameters":"Parametri del modello","options.additional":"Opzioni aggiuntive","run.run":"Esegui","run.cancel":"Annulla","run.working":"Elaborazione…","result.title":"Risultato","result.label":"RISULTATO","result.saveWav":"Salva WAV","result.empty":"L'audio generato e i risultati strutturati appariranno qui.","models.eyebrow":"LIBRERIA MODELLI","models.title":"Pacchetti locali","models.subtitle":"Scarica e gestisci i pacchetti dei modelli senza uscire dall'interfaccia.","models.folder":"Cartella modelli","models.useDefault":"Usa predefinita","models.showTypes":"Mostra tipi di modello","models.stopDownload":"Interrompi download","models.cleanPartial":"Elimina download parziale","runtime.title":"Registro sessione","runtime.status":"Stato","runtime.backend":"Backend","runtime.registered":"Registrati","runtime.resident":"Caricati","runtime.noEvents":"Nessun evento.","folder.title":"Scegli una cartella","folder.up":"Livello superiore","folder.select":"Seleziona questa cartella","common.applying":"Applicazione…","common.disabled":"Disabilitato","common.enabled":"Abilitato","file.choose":"Scegli file","file.none":"Nessun file selezionato","folder.closeLabel":"Chiudi selettore cartelle","folder.empty":"Questa cartella non contiene sottocartelle.","folder.eyebrow":"CARTELLA MODELLI","folder.loading":"Caricamento...","folder.loadingFolders":"Caricamento cartelle...","footer.embedded":"SvelteKit · incorporato in audiocpp_server","models.checkingSize":"verifica dimensione…","models.default":"Predefinita","models.downloaded":"Scaricato","models.folderHint":"download, rilevamento locale e caricamento dei modelli","models.folderPlaceholder":"cartella models accanto ad audiocpp_server","models.hfAccess":"Accesso HF richiesto","models.model":"modello","models.queued":"in coda","models.selected":"Selezionato","models.sharedPackage":"Usa il pacchetto condiviso {name} mostrato sopra.","models.sizeUnavailable":"dimensione non disponibile","models.stopping":"arresto","models.update":"Aggiorna","models.updateAvailable":"Aggiornamento disponibile","models.upToDate":"Aggiornato","models.variants":"varianti","models.versionUnknown":"Versione sconosciuta","nav.primary":"Navigazione principale","nav.workflows":"Flussi di lavoro audio","arena.eyebrow":"ARENA","arena.title.tts":"Confronto TTS","arena.title.vc":"Confronto conversione vocale","arena.title.asr":"Confronto ASR","arena.subtitle.tts":"Esegue lo stesso testo sui modelli TTS e sui pacchetti scelti.","arena.subtitle.vc":"Esegue lo stesso audio sorgente sui modelli di conversione vocale scelti.","arena.subtitle.asr":"Esegue lo stesso audio sorgente sui modelli ASR scelti e confronta le trascrizioni.","arena.mode.tts":"TTS","arena.mode.vc":"Conversione vocale","arena.mode.asr":"ASR","arena.input.label":"Input","arena.input.title":"Richiesta condivisa","arena.input.textPlaceholder":"Inserisci un prompt da confrontare tra modelli TTS","arena.input.groundTruth":"Testo atteso","arena.input.groundTruthPlaceholder":"Incolla la trascrizione attesa per calcolare il WER","arena.shared":"condivisa","arena.voice.label":"Voce","arena.voice.modelDefault":"Predefinita del modello","arena.voice.builtin":"Voce demo integrata","arena.voice.reference":"Audio di riferimento","arena.voice.builtinNote":"Le voci integrate vengono passate come voice ID a ogni modello. Questo tipo di voce non richiede testo di riferimento.","arena.voice.targetSpeaker":"Audio parlante target","arena.voice.clearTarget":"Cancella target","arena.voice.clearReference":"Cancella riferimento","arena.options.shared":"Opzioni condivise","arena.queue.label":"Coda","arena.queue.title":"Modelli","arena.queue.add":"Aggiungi","arena.queue.remove":"Rimuovi","arena.queue.clear":"Cancella","arena.queue.empty":"Aggiungi modelli installati o pacchetti di precisione da confrontare.","arena.run":"Esegui arena","arena.package.label":"Pacchetto","arena.package.configured":"Configurato","arena.results.title":"Confronta output","arena.results.empty":"Nessun risultato arena.","arena.metric.wall":"tempo","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"in coda","arena.itemStatus.loading":"caricamento","arena.itemStatus.running":"esecuzione","arena.itemStatus.done":"completato","arena.itemStatus.failed":"fallito","arena.itemStatus.skipped":"saltato","arena.status.duplicate":"{model} {package} è già nell'arena.","arena.status.loadingModel":"Caricamento modello","arena.status.runningRequest":"Esecuzione richiesta","arena.status.addModel":"Aggiungi almeno un modello all'arena.","arena.status.running":"Esecuzione arena {mode}...","arena.status.complete":"Esecuzione arena completata.","arena.note.skippedTargetVoice":"Saltato perché questo modello VC richiede audio del parlante target.","arena.note.skippedReferenceText":"Saltato perché questo modello richiede testo di riferimento per l'input voce selezionato.","arena.note.builtinVoice":"Voce integrata usata: {voice}.","arena.note.referenceVoice":"Voce di riferimento usata.","arena.note.referenceUnsupported":"Voce predefinita usata; la voce di riferimento non è supportata.","arena.note.defaultVoice":"Voce predefinita usata: {voice}.","arena.note.skippedReferenceVoice":"Saltato perché questo modello richiede una voce di riferimento.","arena.error.seed":"Il seed deve essere -1 o un intero unsigned a 32 bit (0-4294967295).","arena.error.jsonObject":"deve essere un oggetto","arena.error.invalidJson":"JSON opzioni arena non valido: {error}","arena.error.unregistered":"Il modello configurato non è registrato da questo server.","arena.error.notDownloaded":"{package} non è scaricato.","arena.error.loadFailed":"Il modello non è stato caricato.","arena.error.missingCatalog":"Il modello non è più nel catalogo.","arena.error.enterTtsText":"Inserisci testo per l'arena TTS.","arena.error.chooseAsrSource":"Scegli audio sorgente per l'arena ASR.","arena.error.chooseVcSource":"Scegli audio sorgente per l'arena VC.","arena.error.noAudio":"La risposta non include audio.","request.alignmentText":"Testo di allineamento","request.context":"Prompt di contesto","request.contextHint":"terminologia o nomi opzionali","request.duration":"Durata in secondi","request.liveDescription":"Elabora richieste consecutive di quattro secondi usando la modalità streaming del modello.","request.liveTitle":"Trascrizione microfono in diretta","request.lyrics":"Testo della canzone","request.optional":"opzionale","request.recordingMicrophone":"Registrazione microfono","request.soundPlaceholder":"Descrivi il suono o la musica…","request.startLive":"Avvia diretta","request.stopLive":"Ferma diretta","request.stopRecording":"Ferma registrazione","request.textPlaceholder":"Inserisci il testo…","request.voiceDescription":"Descrizione della voce","request.voiceDescriptionPlaceholder":"Una voce calda e calma con ritmo misurato…","result.track":"traccia","result.tracks":"tracce","runtime.eyebrow":"RUNTIME","runtime.subtitle":"Eventi del ciclo di vita e delle richieste nel browser.","status.ready":"Pronto","studio.estimatedVram":"VRAM stimata: {value} GB","studio.vram":"VRAM —","task.align":"Allineamento forzato","task.asr":"Trascrizione","task.clon":"Clonazione vocale","task.diar":"Diarizzazione parlanti","task.gen":"Generazione musicale","task.s2s":"Modifica del parlato","task.sep":"Separazione sorgenti","task.svc":"Conversione della voce cantata","task.tts":"Sintesi vocale","task.vad":"Attività vocale","task.vc":"Conversione vocale","task.vdes":"Progettazione voce","voice.bundledNote":"L'audio di riferimento incluso e la relativa trascrizione vengono forniti automaticamente.","voice.namePlaceholder":"La mia voce di riferimento","voice.recommendedClone":"consigliata per la clonazione","voice.recording":"Registrazione voce di riferimento","voice.requiredClone":"obbligatoria per questa clonazione vocale","voice.transcriptPlaceholder":"Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente.","file.clear":"Cancella file","file.preview":"Anteprima","param.chatterbox.s3gen_cfg_rate.label":"s3gen_cfg_rate (guida della voce)","param.controlfoley.negative_prompt.placeholder":"prompt negativo opzionale","param.dramabox.duration_sec.label":"duration_sec (0 = automatico)","param.echo_tts.guidance_interval.info":"Aggiorna le corsie CFG non condizionate ogni N passaggi guidati. Valori più alti sono più veloci e funzionano meglio con molti passaggi; 1 offre la fedeltà massima.","param.echo_tts.guidance_interval.label":"Intervallo di guida","param.echo_tts.num_inference_steps.info":"Passaggi del campionatore Euler.","param.echo_tts.num_inference_steps.label":"Passaggi di campionamento","param.echo_tts.reference_duration_sec.info":"Taglia il riferimento del parlante prima della codifica. Circa 10 s di solito danno la clonazione migliore.","param.echo_tts.reference_duration_sec.label":"Taglio del riferimento (s)","param.echo_tts.seed.label":"Seed","param.echo_tts.speaker_guidance_scale.label":"Guida del parlante","param.echo_tts.text_guidance_scale.label":"Guida del testo","param.echo_tts.truncation_factor.label":"Troncamento del rumore","param.index_tts2.duration_factor.info":"Corrisponde al duration_factor ufficiale di IndexTTS2.5: scala la durata dell'output senza modificare timbro o contenuto","param.index_tts2.duration_factor.label":"duration_factor (moltiplicatore di durata; >1 più lento, <1 più veloce)","param.index_tts2.emotion_text.info":"Impostandolo si attiva il condizionamento emotivo.","param.index_tts2.emotion_text.label":"emotion_text (testo di riferimento dell'emozione)","param.index_tts2.lang.info":"Vale solo per i modelli IndexTTS2.5 (multilingua): auto sceglie zh quando il testo contiene caratteri Han, altrimenti en; imposta ja/es/ar esplicitamente","param.index_tts2.lang.label":"lang (suggerimento di lingua, solo modelli IndexTTS2.5)","param.index_tts2.use_emotion_text.label":"use_emotion_text (deduci dal testo)","param.irodori_tts.duration_sec.label":"duration_sec (0 = automatico)","param.magpie_tts.voice_id.label":"voice_id (voce inclusa nel pacchetto)","param.minimax_music3.ar_guidance_scale.info":"Guida senza classificatore del campionamento dei codici semantici e residui.","param.minimax_music3.ar_guidance_scale.label":"Scala di guida AR","param.minimax_music3.guidance_scale.label":"Scala di guida del flow","param.minimax_music3.num_inference_steps.info":"Passaggi Euler di flow matching per ogni finestra di denoising da 200 fotogrammi.","param.minimax_music3.num_inference_steps.label":"Passaggi di flow per finestra","param.neutts.voice_id.label":"voice_id (voce integrata)","param.personaplex.system_prompt.placeholder":"Lascia vuoto per usare la casella di testo come system prompt.","param.personaplex.voice_id.label":"voice_id (voce inclusa nel pacchetto)","param.rvc.output_sample_rate.label":"output_sample_rate (0 = predefinito della voce)","param.supertonic.voice.label":"voice (preset M = maschile, F = femminile)","request.autoDuration":"-1 = automatico","request.rewriteCaption":"Riscrivi descrizione","request.rewritingCaption":"Riscrittura descrizione...","studio.subtitle.conversion":"Trasforma una registrazione in un'altra voce conservando l'interpretazione parlata o cantata.","studio.subtitle.separation":"Separa una registrazione in voce, strumenti o altre tracce audio disponibili.","task.midi":"Da audio a MIDI","voice.configured":"Voci configurate"}`)},eb={code:"pl",name:"Polski",translations:JSON.parse('{"request.minimaxFrames":"{frames} wyrównanych klatek wyjściowych","param.minimax_h3.num_inference_steps.label":"Kroki odszumiania","param.minimax_h3.num_inference_steps.info":"Dwanaście kroków odszumiania zapewnia praktyczną równowagę jakości i wydajności.","param.minimax_h3.num_frames.label":"Klatki wyjściowe","param.minimax_h3.num_frames.info":"Obliczane z czasu trwania przy około 24 klatkach na sekundę wyjścia. Zmiana liczby klatek aktualizuje również czas trwania.","param.minimax_h3.guidance_scale.label":"Skala naprowadzania","param.minimax_h3.sampler.label":"Próbnik","param.minimax_h3.dit_acceleration.label":"Przyspieszenie DiT","param.minimax_h3.dit_acceleration.info":"None używa pełnej ścieżki DiT nastawionej na jakość. Tryby przyspieszone są eksperymentalne i mogą zniekształcać niektóre wyniki.","param.minimax_h3.return_video.label":"Dekoduj wideo","param.minimax_h3.return_video.info":"Domyślnie wyłączone, aby zmniejszyć zużycie pamięci i zwracać tylko dźwięk.","model.minimax_h3.hint":"MiniMax-H3 korzysta ze wspólnego DiT audio/wideo. GGUF Q4 stawia na jakość; dostępny tylko dla CUDA GGUF Q4 ConvRot używa nieco więcej VRAM, aby działać szybciej. Domyślna pełna ścieżka DiT nadaje priorytet jakości dźwięku, a dekodowanie wideo jest wyłączone.","status.modelReady":"{model} jest załadowany i gotowy.","status.runningTask":"Uruchamianie: {task}...","status.completeIn":"Ukończono w {seconds} s.","status.packageAvailable":"{model} użyje {format}. Model jest dostępny w Studio.","app.nativeStudio":"Studio natywne","nav.studio":"Studio","nav.arena":"Arena","nav.models":"Modele","nav.runtime":"Środowisko","language.label":"Język interfejsu","theme.label":"Motyw","theme.system":"System","theme.dark":"Ciemny","theme.light":"Jasny","workflow.tts":"Synteza mowy","workflow.asr":"ASR / Transkrypcja","workflow.music":"Generowanie muzyki","workflow.vc":"Konwersja głosu","workflow.sep":"Separacja źródeł","workflow.analysis":"Analiza dźwięku","workflow.design":"Projektowanie głosu","studio.eyebrow":"LOKALNA INTELIGENCJA AUDIO","studio.title":"Studio audio","studio.subtitle.tts":"Generuj naturalną mowę z tekstu, korzystając z gotowych głosów i klonowania, gdy model je obsługuje.","studio.subtitle.asr":"Transkrybuj mowę z nagrań na tekst, korzystając z ustawień języka i znaczników czasu, gdy są obsługiwane.","studio.subtitle.music":"Twórz muzykę i dźwięki na podstawie opisu, tekstu piosenki lub nagrania 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głos","common.delete":"Usuń","common.cancel":"Anuluj","common.close":"Zamknij","common.refresh":"Odśwież","common.browse":"Przeglądaj","common.apply":"Zastosuj","options.modelParameters":"Parametry modelu","options.additional":"Dodatkowe opcje","run.run":"Uruchom","run.cancel":"Anuluj","run.working":"Przetwarzanie…","result.title":"Wynik","result.label":"WYNIK","result.saveWav":"Zapisz WAV","result.empty":"W tym miejscu pojawi się wygenerowany dźwięk i wyniki strukturalne.","models.eyebrow":"BIBLIOTEKA MODELI","models.title":"Pakiety lokalne","models.subtitle":"Pobieraj i zarządzaj pakietami modeli bez opuszczania interfejsu.","models.folder":"Folder modeli","models.useDefault":"Użyj domyślnego","models.showTypes":"Pokaż typy modeli","models.stopDownload":"Zatrzymaj pobieranie","models.cleanPartial":"Usuń częściowe pobieranie","runtime.title":"Dziennik sesji","runtime.status":"Stan","runtime.backend":"Backend","runtime.registered":"Zarejestrowane","runtime.resident":"Załadowane","runtime.noEvents":"Brak zdarzeń.","folder.title":"Wybierz folder","folder.up":"Poziom wyżej","folder.select":"Wybierz ten folder","common.applying":"Stosowanie…","common.disabled":"Wyłączone","common.enabled":"Włączone","file.choose":"Wybierz plik","file.none":"Nie wybrano pliku","folder.closeLabel":"Zamknij przeglądarkę folderów","folder.empty":"Ten folder nie zawiera podfolderów.","folder.eyebrow":"FOLDER MODELI","folder.loading":"Ładowanie...","folder.loadingFolders":"Ładowanie folderów...","footer.embedded":"SvelteKit · wbudowany w audiocpp_server","models.checkingSize":"sprawdzanie rozmiaru…","models.default":"Domyślnie","models.downloaded":"Pobrano","models.folderHint":"pobieranie, wykrywanie lokalne i ładowanie modeli","models.folderPlaceholder":"folder models obok audiocpp_server","models.hfAccess":"Wymagany dostęp do HF","models.model":"model","models.queued":"w kolejce","models.selected":"Wybrano","models.sharedPackage":"Używa wspólnego pakietu {name} pokazanego powyżej.","models.sizeUnavailable":"rozmiar niedostępny","models.stopping":"zatrzymywanie","models.update":"Aktualizuj","models.updateAvailable":"Dostępna aktualizacja","models.upToDate":"Aktualny","models.variants":"warianty","models.versionUnknown":"Nieznana wersja","nav.primary":"Główna nawigacja","nav.workflows":"Przepływy pracy audio","arena.eyebrow":"ARENA","arena.title.tts":"Porównanie TTS","arena.title.vc":"Porównanie konwersji głosu","arena.title.asr":"Porównanie ASR","arena.subtitle.tts":"Uruchamia ten sam tekst na wybranych modelach TTS i wariantach pakietów.","arena.subtitle.vc":"Uruchamia to samo audio źródłowe na wybranych modelach konwersji głosu.","arena.subtitle.asr":"Uruchamia to samo audio źródłowe na wybranych modelach ASR i porównuje transkrypcje.","arena.mode.tts":"TTS","arena.mode.vc":"Konwersja głosu","arena.mode.asr":"ASR","arena.input.label":"Dane wejściowe","arena.input.title":"Wspólne żądanie","arena.input.textPlaceholder":"Wpisz jeden prompt do porównania modeli TTS","arena.input.groundTruth":"Tekst referencyjny","arena.input.groundTruthPlaceholder":"Wklej oczekiwaną transkrypcję, aby obliczyć WER","arena.shared":"wspólne","arena.voice.label":"Głos","arena.voice.modelDefault":"Domyślny modelu","arena.voice.builtin":"Wbudowany głos demo","arena.voice.reference":"Audio referencyjne","arena.voice.builtinNote":"Wbudowane głosy są przekazywane jako voice ID do każdego modelu. Ten typ głosu nie wymaga tekstu referencyjnego.","arena.voice.targetSpeaker":"Audio głosu docelowego","arena.voice.clearTarget":"Wyczyść cel","arena.voice.clearReference":"Wyczyść referencję","arena.options.shared":"Wspólne opcje","arena.queue.label":"Kolejka","arena.queue.title":"Modele","arena.queue.add":"Dodaj","arena.queue.remove":"Usuń","arena.queue.clear":"Wyczyść","arena.queue.empty":"Dodaj zainstalowane modele lub pakiety precyzji do porównania.","arena.run":"Uruchom arenę","arena.package.label":"Pakiet","arena.package.configured":"Skonfigurowany","arena.results.title":"Porównaj wyniki","arena.results.empty":"Brak wyników areny.","arena.metric.wall":"czas","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"w kolejce","arena.itemStatus.loading":"ładowanie","arena.itemStatus.running":"uruchomione","arena.itemStatus.done":"gotowe","arena.itemStatus.failed":"błąd","arena.itemStatus.skipped":"pominięto","arena.status.duplicate":"{model} {package} jest już w arenie.","arena.status.loadingModel":"Ładowanie modelu","arena.status.runningRequest":"Uruchamianie żądania","arena.status.addModel":"Dodaj co najmniej jeden model do areny.","arena.status.running":"Uruchamianie areny {mode}...","arena.status.complete":"Arena zakończona.","arena.note.skippedTargetVoice":"Pominięto, ponieważ ten model VC wymaga audio głosu docelowego.","arena.note.skippedReferenceText":"Pominięto, ponieważ ten model wymaga tekstu referencyjnego dla wybranego wejścia głosu.","arena.note.builtinVoice":"Użyto wbudowanego głosu: {voice}.","arena.note.referenceVoice":"Użyto głosu referencyjnego.","arena.note.referenceUnsupported":"Użyto domyślnego głosu; głos referencyjny nie jest obsługiwany.","arena.note.defaultVoice":"Użyto domyślnego głosu: {voice}.","arena.note.skippedReferenceVoice":"Pominięto, ponieważ ten model wymaga głosu referencyjnego.","arena.error.seed":"Ziarno musi być -1 albo 32-bitową liczbą unsigned (0-4294967295).","arena.error.jsonObject":"musi być obiektem","arena.error.invalidJson":"Nieprawidłowy JSON opcji areny: {error}","arena.error.unregistered":"Skonfigurowany model nie jest zarejestrowany przez ten serwer.","arena.error.notDownloaded":"{package} nie został pobrany.","arena.error.loadFailed":"Model nie został załadowany.","arena.error.missingCatalog":"Modelu nie ma już w katalogu.","arena.error.enterTtsText":"Wpisz tekst dla areny TTS.","arena.error.chooseAsrSource":"Wybierz audio źródłowe dla areny ASR.","arena.error.chooseVcSource":"Wybierz audio źródłowe dla areny VC.","arena.error.noAudio":"Odpowiedź nie zawiera audio.","request.alignmentText":"Tekst do wyrównania","request.context":"Kontekst","request.contextHint":"opcjonalna terminologia lub nazwy","request.duration":"Czas trwania w sekundach","request.liveDescription":"Przetwarza kolejne czterosekundowe żądania w trybie strumieniowym modelu.","request.liveTitle":"Transkrypcja mikrofonu na żywo","request.lyrics":"Tekst utworu","request.optional":"opcjonalne","request.recordingMicrophone":"Nagrywanie mikrofonu","request.soundPlaceholder":"Opisz dźwięk lub muzykę…","request.startLive":"Uruchom na żywo","request.stopLive":"Zatrzymaj na żywo","request.stopRecording":"Zatrzymaj nagrywanie","request.textPlaceholder":"Wprowadź tekst…","request.voiceDescription":"Opis głosu","request.voiceDescriptionPlaceholder":"Ciepły, spokojny głos o umiarkowanym tempie…","result.track":"ścieżka","result.tracks":"ścieżki","runtime.eyebrow":"ŚRODOWISKO","runtime.subtitle":"Zdarzenia cyklu życia i żądań po stronie przeglądarki.","status.ready":"Gotowe","studio.estimatedVram":"Szacowane VRAM: {value} GB","studio.vram":"VRAM —","task.align":"Wymuszone wyrównanie","task.asr":"Transkrypcja","task.clon":"Klonowanie głosu","task.diar":"Diarizacja mówców","task.gen":"Generowanie muzyki","task.s2s":"Edycja mowy","task.sep":"Separacja źródeł","task.svc":"Konwersja głosu śpiewanego","task.tts":"Synteza mowy","task.vad":"Aktywność głosowa","task.vc":"Konwersja głosu","task.vdes":"Projektowanie głosu","voice.bundledNote":"Dołączone audio referencyjne i jego transkrypcja zostaną użyte automatycznie.","voice.namePlaceholder":"Mój głos referencyjny","voice.recommendedClone":"zalecana do klonowania","voice.recording":"Nagrywanie głosu referencyjnego","voice.requiredClone":"wymagana dla tego klonowania głosu","voice.transcriptPlaceholder":"Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej.","file.clear":"Wyczyść plik","file.preview":"Podgląd","param.chatterbox.s3gen_cfg_rate.label":"s3gen_cfg_rate (naprowadzanie głosem)","param.controlfoley.negative_prompt.placeholder":"opcjonalne polecenie negatywne","param.dramabox.duration_sec.label":"duration_sec (0 = automatycznie)","param.echo_tts.guidance_interval.info":"Odświeża bezwarunkowe ścieżki CFG co N-ty krok naprowadzany. Większe wartości są szybsze i działają najlepiej przy większej liczbie kroków; 1 daje najwyższą wierność.","param.echo_tts.guidance_interval.label":"Interwał naprowadzania","param.echo_tts.num_inference_steps.info":"Kroki próbnika Eulera.","param.echo_tts.num_inference_steps.label":"Kroki próbkowania","param.echo_tts.reference_duration_sec.info":"Przytnij referencję mówcy przed kodowaniem. Około 10 s zwykle daje najlepsze klonowanie.","param.echo_tts.reference_duration_sec.label":"Przycięcie referencji (s)","param.echo_tts.seed.label":"Ziarno","param.echo_tts.speaker_guidance_scale.label":"Naprowadzanie mówcą","param.echo_tts.text_guidance_scale.label":"Naprowadzanie tekstem","param.echo_tts.truncation_factor.label":"Obcinanie szumu","param.index_tts2.duration_factor.info":"Odpowiada oficjalnemu duration_factor z IndexTTS2.5: skaluje czas trwania wyjścia bez zmiany barwy ani treści","param.index_tts2.duration_factor.label":"duration_factor (mnożnik czasu trwania; >1 wolniej, <1 szybciej)","param.index_tts2.emotion_text.info":"Ustawienie tego pola włącza warunkowanie emocjami.","param.index_tts2.emotion_text.label":"emotion_text (tekst referencyjny emocji)","param.index_tts2.lang.info":"Działa tylko w modelach IndexTTS2.5 (wielojęzycznych): auto wybiera zh, gdy tekst zawiera znaki Han, w przeciwnym razie en; ja/es/ar ustaw wprost","param.index_tts2.lang.label":"lang (podpowiedź języka, tylko modele IndexTTS2.5)","param.index_tts2.use_emotion_text.label":"use_emotion_text (wywnioskuj z tekstu)","param.irodori_tts.duration_sec.label":"duration_sec (0 = automatycznie)","param.magpie_tts.voice_id.label":"voice_id (głos z pakietu)","param.minimax_music3.ar_guidance_scale.info":"Naprowadzanie bez klasyfikatora przy próbkowaniu kodów semantycznych i rezydualnych.","param.minimax_music3.ar_guidance_scale.label":"Skala naprowadzania AR","param.minimax_music3.guidance_scale.label":"Skala naprowadzania flow","param.minimax_music3.num_inference_steps.info":"Kroki Eulera flow matching na każde 200-klatkowe okno odszumiania.","param.minimax_music3.num_inference_steps.label":"Kroki flow na okno","param.neutts.voice_id.label":"voice_id (głos wbudowany)","param.personaplex.system_prompt.placeholder":"Zostaw puste, aby użyć pola tekstowego jako system prompt.","param.personaplex.voice_id.label":"voice_id (głos z pakietu)","param.rvc.output_sample_rate.label":"output_sample_rate (0 = domyślna dla głosu)","param.supertonic.voice.label":"voice (M = głos męski, F = żeński)","request.autoDuration":"-1 = automatycznie","request.rewriteCaption":"Przepisz opis","request.rewritingCaption":"Przepisywanie opisu...","studio.subtitle.conversion":"Przekształcaj nagranie w inny głos, zachowując sposób mówienia lub śpiewania.","studio.subtitle.separation":"Rozdzielaj nagranie na wokal, instrumenty lub inne dostępne ścieżki.","task.midi":"Audio na MIDI","voice.configured":"Skonfigurowane głosy"}')},tb={code:"ru",name:"Русский",translations:JSON.parse('{"request.minimaxFrames":"{frames} выровненных выходных кадров","param.minimax_h3.num_inference_steps.label":"Шаги шумоподавления","param.minimax_h3.num_inference_steps.info":"Двенадцать шагов обеспечивают практичный баланс качества и производительности.","param.minimax_h3.num_frames.label":"Выходные кадры","param.minimax_h3.num_frames.info":"Рассчитываются из длительности примерно по 24 кадра на секунду вывода. Изменение числа кадров также обновляет длительность.","param.minimax_h3.guidance_scale.label":"Масштаб управления","param.minimax_h3.sampler.label":"Сэмплер","param.minimax_h3.dit_acceleration.label":"Ускорение DiT","param.minimax_h3.dit_acceleration.info":"None использует полный DiT с приоритетом качества. Режимы ускорения экспериментальны и могут искажать некоторые результаты.","param.minimax_h3.return_video.label":"Декодировать видео","param.minimax_h3.return_video.info":"По умолчанию выключено для снижения расхода памяти и возврата только аудио.","model.minimax_h3.hint":"MiniMax-H3 использует совместный аудио/видео DiT. GGUF Q4 ориентирован на качество; доступный только в CUDA GGUF Q4 ConvRot использует немного больше VRAM ради скорости. Полный DiT по умолчанию отдаёт приоритет качеству звука, а декодирование видео отключено.","status.modelReady":"{model} загружен и готов.","status.runningTask":"Выполняется: {task}...","status.completeIn":"Завершено за {seconds} с.","status.packageAvailable":"{model} будет использовать {format}. Модель доступна в Studio.","app.nativeStudio":"Нативная студия","nav.studio":"Студия","nav.arena":"Арена","nav.models":"Модели","nav.runtime":"Среда","language.label":"Язык интерфейса","theme.label":"Тема","theme.system":"Системная","theme.dark":"Тёмная","theme.light":"Светлая","workflow.tts":"Синтез речи","workflow.asr":"ASR / Распознавание","workflow.music":"Генерация музыки","workflow.vc":"Преобразование голоса","workflow.sep":"Разделение источников","workflow.analysis":"Анализ аудио","workflow.design":"Дизайн голоса","studio.eyebrow":"ЛОКАЛЬНЫЙ АУДИО ИНТЕЛЛЕКТ","studio.title":"Аудиостудия","studio.subtitle.tts":"Создавайте естественную речь из текста с готовыми голосами и клонированием, если они поддерживаются.","studio.subtitle.asr":"Преобразуйте речь из аудио в текст с настройками языка и временных меток, если они поддерживаются.","studio.subtitle.music":"Создавайте музыку и звуки по описанию, тексту песни или эталонному аудио.","studio.subtitle.vc":"Преобразуйте запись в другой голос, сохраняя манеру речи или пения.","studio.subtitle.sep":"Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.","studio.subtitle.analysis":"Анализируйте речевую активность, говорящих, время и выравнивание аудио.","studio.subtitle.design":"Создавайте и настраивайте голос по текстовому описанию и поддерживаемым эталонным параметрам.","studio.model":"Модель","studio.noModel":"Модель не выбрана","studio.resident":"Загружена","studio.notInstalled":"Не установлена","studio.available":"Доступна","studio.chooseInstalled":"Выберите установленную модель","studio.notDownloaded":"не скачана","studio.pathFound":"Путь найден","studio.pathMissing":"Путь отсутствует","studio.pathUnknown":"Путь не проверен","studio.load":"Загрузить модель","studio.unload":"Выгрузить модель","studio.working":"Обработка…","studio.bundledLoaded":"Встроена · загружена","request.label":"ЗАПРОС","request.title":"Ввод и управление","request.prompt":"Запрос","request.text":"Текст","request.splitLongText":"Разделять и объединять длинный текст","request.charactersPerChunk":"Символов в части","request.language":"Язык","request.autoLanguage":"пусто = автоматически","request.seed":"Seed","request.randomSeed":"-1 = случайно","request.maxTokens":"Максимум токенов","request.sourceAudio":"Исходное аудио","request.recordMicrophone":"Записать микрофон","voice.quickStart":"Демонстрационные голоса","voice.useReference":"Использовать файл эталонного аудио ниже","voice.reference":"Эталонный голос","voice.required":"обязательно","voice.optional":"необязательно","voice.referenceText":"Эталонный текст","voice.transcript":"Эталонная расшифровка","voice.saved":"Сохранённые голоса","voice.browserOnly":"только в этом браузере","voice.chooseSaved":"Выберите сохранённый голос...","voice.libraryName":"Имя в библиотеке","voice.save":"Сохранить голос","common.delete":"Удалить","common.cancel":"Отмена","common.close":"Закрыть","common.refresh":"Обновить","common.browse":"Обзор","common.apply":"Применить","options.modelParameters":"Параметры модели","options.additional":"Дополнительные параметры","run.run":"Запустить","run.cancel":"Отмена","run.working":"Обработка…","result.title":"Результат","result.label":"РЕЗУЛЬТАТ","result.saveWav":"Сохранить WAV","result.empty":"Здесь появятся созданное аудио и структурированные результаты.","models.eyebrow":"БИБЛИОТЕКА МОДЕЛЕЙ","models.title":"Локальные пакеты","models.subtitle":"Скачивайте пакеты моделей и управляйте ими прямо в интерфейсе.","models.folder":"Папка моделей","models.useDefault":"По умолчанию","models.showTypes":"Типы моделей","models.stopDownload":"Остановить загрузку","models.cleanPartial":"Удалить частичную загрузку","runtime.title":"Журнал сеанса","runtime.status":"Состояние","runtime.backend":"Backend","runtime.registered":"Зарегистрировано","runtime.resident":"Загружено","runtime.noEvents":"Событий пока нет.","folder.title":"Выберите папку","folder.up":"На уровень выше","folder.select":"Выбрать эту папку","common.applying":"Применение…","common.disabled":"Выключено","common.enabled":"Включено","file.choose":"Выбрать файл","file.none":"Файл не выбран","folder.closeLabel":"Закрыть выбор папки","folder.empty":"В этой папке нет вложенных папок.","folder.eyebrow":"ПАПКА МОДЕЛЕЙ","folder.loading":"Загрузка...","folder.loadingFolders":"Загрузка папок...","footer.embedded":"SvelteKit · встроен в audiocpp_server","models.checkingSize":"проверка размера…","models.default":"По умолчанию","models.downloaded":"Скачано","models.folderHint":"загрузка, локальное обнаружение и загрузка моделей","models.folderPlaceholder":"папка models рядом с audiocpp_server","models.hfAccess":"Требуется доступ HF","models.model":"модель","models.queued":"в очереди","models.selected":"Выбрано","models.sharedPackage":"Использует общий пакет {name}, показанный выше.","models.sizeUnavailable":"размер недоступен","models.stopping":"остановка","models.update":"Обновить","models.updateAvailable":"Доступно обновление","models.upToDate":"Актуально","models.variants":"варианты","models.versionUnknown":"Версия неизвестна","nav.primary":"Основная навигация","nav.workflows":"Рабочие процессы аудио","arena.eyebrow":"АРЕНА","arena.title.tts":"Сравнение TTS","arena.title.vc":"Сравнение преобразования голоса","arena.title.asr":"Сравнение ASR","arena.subtitle.tts":"Запускает один и тот же текст через выбранные модели TTS и варианты пакетов.","arena.subtitle.vc":"Запускает одно и то же исходное аудио через выбранные модели преобразования голоса.","arena.subtitle.asr":"Запускает одно и то же исходное аудио через выбранные модели ASR и сравнивает расшифровки.","arena.mode.tts":"TTS","arena.mode.vc":"Преобразование голоса","arena.mode.asr":"ASR","arena.input.label":"Ввод","arena.input.title":"Общий запрос","arena.input.textPlaceholder":"Введите один запрос для сравнения моделей TTS","arena.input.groundTruth":"Эталонный текст","arena.input.groundTruthPlaceholder":"Вставьте ожидаемую расшифровку для расчёта WER","arena.shared":"общий","arena.voice.label":"Голос","arena.voice.modelDefault":"По умолчанию модели","arena.voice.builtin":"Встроенный демо-голос","arena.voice.reference":"Эталонное аудио","arena.voice.builtinNote":"Встроенные голоса передаются каждой модели как voice ID. Для этого источника голоса эталонный текст не требуется.","arena.voice.targetSpeaker":"Аудио целевого говорящего","arena.voice.clearTarget":"Очистить цель","arena.voice.clearReference":"Очистить эталон","arena.options.shared":"Общие параметры","arena.queue.label":"Очередь","arena.queue.title":"Модели","arena.queue.add":"Добавить","arena.queue.remove":"Удалить","arena.queue.clear":"Очистить","arena.queue.empty":"Добавьте установленные модели или пакеты точности для сравнения.","arena.run":"Запустить арену","arena.package.label":"Пакет","arena.package.configured":"Настроено","arena.results.title":"Сравнить вывод","arena.results.empty":"Результатов арены пока нет.","arena.metric.wall":"время","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"в очереди","arena.itemStatus.loading":"загрузка","arena.itemStatus.running":"выполняется","arena.itemStatus.done":"готово","arena.itemStatus.failed":"ошибка","arena.itemStatus.skipped":"пропущено","arena.status.duplicate":"{model} {package} уже есть в арене.","arena.status.loadingModel":"Загрузка модели","arena.status.runningRequest":"Выполнение запроса","arena.status.addModel":"Добавьте хотя бы одну модель в арену.","arena.status.running":"Выполняется арена {mode}...","arena.status.complete":"Выполнение арены завершено.","arena.note.skippedTargetVoice":"Пропущено: этой VC-модели нужно аудио целевого говорящего.","arena.note.skippedReferenceText":"Пропущено: этой модели нужен эталонный текст для выбранного голосового ввода.","arena.note.builtinVoice":"Использован встроенный голос: {voice}.","arena.note.referenceVoice":"Использован эталонный голос.","arena.note.referenceUnsupported":"Использован голос по умолчанию; эталонный голос не поддерживается.","arena.note.defaultVoice":"Использован голос по умолчанию: {voice}.","arena.note.skippedReferenceVoice":"Пропущено: этой модели нужен эталонный голос.","arena.error.seed":"Seed должен быть -1 или 32-битным unsigned-целым (0-4294967295).","arena.error.jsonObject":"должен быть объектом","arena.error.invalidJson":"Недопустимый JSON параметров арены: {error}","arena.error.unregistered":"Настроенная модель не зарегистрирована этим сервером.","arena.error.notDownloaded":"{package} не скачан.","arena.error.loadFailed":"Модель не загрузилась.","arena.error.missingCatalog":"Модели больше нет в каталоге.","arena.error.enterTtsText":"Введите текст для арены TTS.","arena.error.chooseAsrSource":"Выберите исходное аудио для арены ASR.","arena.error.chooseVcSource":"Выберите исходное аудио для арены VC.","arena.error.noAudio":"Ответ не содержит аудио.","request.alignmentText":"Текст для выравнивания","request.context":"Контекстный запрос","request.contextHint":"необязательные термины или имена","request.duration":"Длительность в секундах","request.liveDescription":"Обрабатывает последовательные четырёхсекундные запросы в потоковом режиме модели.","request.liveTitle":"Распознавание с микрофона в реальном времени","request.lyrics":"Текст песни","request.optional":"необязательно","request.recordingMicrophone":"Запись микрофона","request.soundPlaceholder":"Опишите звук или музыку…","request.startLive":"Запустить","request.stopLive":"Остановить","request.stopRecording":"Остановить запись","request.textPlaceholder":"Введите текст…","request.voiceDescription":"Описание голоса","request.voiceDescriptionPlaceholder":"Тёплый спокойный голос с размеренным темпом…","result.track":"дорожка","result.tracks":"дорожки","runtime.eyebrow":"СРЕДА","runtime.subtitle":"События жизненного цикла и запросов в браузере.","status.ready":"Готово","studio.estimatedVram":"Оценка VRAM: {value} ГБ","studio.vram":"VRAM —","task.align":"Принудительное выравнивание","task.asr":"Распознавание речи","task.clon":"Клонирование голоса","task.diar":"Диаризация говорящих","task.gen":"Генерация музыки","task.s2s":"Редактирование речи","task.sep":"Разделение источников","task.svc":"Преобразование вокала","task.tts":"Синтез речи","task.vad":"Голосовая активность","task.vc":"Преобразование голоса","task.vdes":"Дизайн голоса","voice.bundledNote":"Встроенное эталонное аудио и соответствующая расшифровка подставляются автоматически.","voice.namePlaceholder":"Мой эталонный голос","voice.recommendedClone":"рекомендуется для клонирования","voice.recording":"Запись эталонного голоса","voice.requiredClone":"требуется для этого клонирования","voice.transcriptPlaceholder":"Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше.","file.clear":"Очистить файл","file.preview":"Предпросмотр","param.chatterbox.s3gen_cfg_rate.label":"s3gen_cfg_rate (управление голосом)","param.controlfoley.negative_prompt.placeholder":"необязательный негативный запрос","param.dramabox.duration_sec.label":"duration_sec (0 = автоматически)","param.echo_tts.guidance_interval.info":"Обновляет безусловные линии CFG на каждом N-м управляемом шаге. Больше — быстрее и лучше работает при большем числе шагов; 1 даёт максимальную точность.","param.echo_tts.guidance_interval.label":"Интервал управления","param.echo_tts.num_inference_steps.info":"Шаги сэмплера Эйлера.","param.echo_tts.num_inference_steps.label":"Шаги сэмплирования","param.echo_tts.reference_duration_sec.info":"Обрезает эталон голоса перед кодированием. Около 10 с обычно дают лучшее клонирование.","param.echo_tts.reference_duration_sec.label":"Обрезка эталона (с)","param.echo_tts.seed.label":"Seed","param.echo_tts.speaker_guidance_scale.label":"Управление по голосу","param.echo_tts.text_guidance_scale.label":"Управление по тексту","param.echo_tts.truncation_factor.label":"Усечение шума","param.index_tts2.duration_factor.info":"Соответствует официальному duration_factor из IndexTTS2.5: масштабирует длительность вывода, не меняя тембр и содержание","param.index_tts2.duration_factor.label":"duration_factor (множитель длительности; >1 медленнее, <1 быстрее)","param.index_tts2.emotion_text.info":"Заполнение этого поля включает управление эмоцией.","param.index_tts2.emotion_text.label":"emotion_text (эталонный текст эмоции)","param.index_tts2.lang.info":"Действует только для моделей IndexTTS2.5 (многоязычных): auto выбирает zh, если в тексте есть иероглифы, иначе en; ja/es/ar задавайте явно","param.index_tts2.lang.label":"lang (подсказка языка, только модели IndexTTS2.5)","param.index_tts2.use_emotion_text.label":"use_emotion_text (определять по тексту)","param.irodori_tts.duration_sec.label":"duration_sec (0 = автоматически)","param.magpie_tts.voice_id.label":"voice_id (голос из пакета)","param.minimax_music3.ar_guidance_scale.info":"Управление без классификатора при сэмплировании семантических и остаточных кодов.","param.minimax_music3.ar_guidance_scale.label":"Масштаб управления AR","param.minimax_music3.guidance_scale.label":"Масштаб управления flow","param.minimax_music3.num_inference_steps.info":"Шаги Эйлера flow matching на каждое окно шумоподавления в 200 кадров.","param.minimax_music3.num_inference_steps.label":"Шаги flow на окно","param.neutts.voice_id.label":"voice_id (встроенный голос)","param.personaplex.system_prompt.placeholder":"Оставьте пустым, чтобы использовать текстовое поле как system prompt.","param.personaplex.voice_id.label":"voice_id (голос из пакета)","param.rvc.output_sample_rate.label":"output_sample_rate (0 = по умолчанию для голоса)","param.supertonic.voice.label":"voice (M = мужской, F = женский пресет)","request.autoDuration":"-1 = автоматически","request.rewriteCaption":"Переписать описание","request.rewritingCaption":"Переписывание описания...","studio.subtitle.conversion":"Преобразуйте запись в другой голос, сохраняя манеру речи или пения.","studio.subtitle.separation":"Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.","task.midi":"Аудио в MIDI","voice.configured":"Настроенные голоса"}')},ab={code:"zh",name:"中文",translations:JSON.parse('{"request.minimaxFrames":"{frames} 个对齐输出帧","param.minimax_h3.num_inference_steps.label":"去噪步数","param.minimax_h3.num_inference_steps.info":"十二个去噪步骤可在质量和性能之间取得实用的平衡。","param.minimax_h3.num_frames.label":"输出帧数","param.minimax_h3.num_frames.info":"根据时长自动计算，每秒输出约 24 帧。编辑帧数也会更新时长。","param.minimax_h3.guidance_scale.label":"引导强度","param.minimax_h3.sampler.label":"采样器","param.minimax_h3.dit_acceleration.label":"DiT 加速","param.minimax_h3.dit_acceleration.info":"“none”使用质量优先的完整 DiT 路径。加速模式为实验性功能，可能使某些输出失真。","param.minimax_h3.return_video.label":"解码视频","param.minimax_h3.return_video.info":"默认禁用以减少内存占用，并仅返回音频。","model.minimax_h3.hint":"MiniMax-H3 使用联合音频/视频 DiT。GGUF Q4 是质量优先版本；仅支持 CUDA 的 GGUF Q4 ConvRot 使用稍多显存以提高速度。默认完整 DiT 路径优先保证音频质量，并禁用视频解码。","status.modelReady":"{model} 已加载并准备就绪。","status.runningTask":"正在运行{task}...","status.completeIn":"已在 {seconds} 秒内完成。","status.packageAvailable":"{model} 将使用 {format}，现可在工作室中使用。","app.nativeStudio":"原生工作室","nav.studio":"工作室","nav.arena":"对比场","nav.models":"模型","nav.runtime":"运行环境","language.label":"界面语言","theme.label":"主题","theme.system":"跟随系统","theme.dark":"深色","theme.light":"浅色","workflow.tts":"文本转语音","workflow.asr":"ASR / 转录","workflow.music":"音乐生成","workflow.vc":"语音转换","workflow.sep":"音源分离","workflow.analysis":"音频分析","workflow.design":"音色设计","studio.eyebrow":"本地音频智能","studio.title":"音频工作室","studio.subtitle.tts":"从文本生成自然语音，并在模型支持时使用预设音色或声音克隆。","studio.subtitle.asr":"将语音音频转为文本，并在模型支持时设置语言和时间戳。","studio.subtitle.music":"根据描述、歌词或参考音频创作音乐和声音。","studio.subtitle.vc":"将录音转换为另一种声音，同时保留原有的说话或演唱表现。","studio.subtitle.sep":"将录音分离为人声、乐器或其他可用音轨。","studio.subtitle.analysis":"分析语音活动、说话人、时间信息和音频对齐。","studio.subtitle.design":"根据文字描述和支持的参考控制创建或调整声音。","studio.model":"模型","studio.noModel":"未选择模型","studio.resident":"已加载","studio.notInstalled":"未安装","studio.available":"可用","studio.chooseInstalled":"选择已安装的模型","studio.notDownloaded":"未下载","studio.pathFound":"已找到路径","studio.pathMissing":"路径不存在","studio.pathUnknown":"尚未检查路径","studio.load":"加载模型","studio.unload":"卸载模型","studio.working":"处理中…","studio.bundledLoaded":"内置 · 已加载","request.label":"请求","request.title":"输入与控制","request.prompt":"提示词","request.text":"文本","request.splitLongText":"拆分并合并长文本","request.charactersPerChunk":"每段字符数","request.language":"语言","request.autoLanguage":"留空 = 自动","request.seed":"随机种子","request.randomSeed":"-1 = 随机","request.maxTokens":"最大令牌数","request.sourceAudio":"源音频","request.recordMicrophone":"录制麦克风","voice.quickStart":"快速开始演示音色","voice.useReference":"使用下方参考音频文件","voice.reference":"参考音色","voice.required":"必需","voice.optional":"可选","voice.referenceText":"参考文本","voice.transcript":"参考转录","voice.saved":"已保存音色","voice.browserOnly":"仅存储在此浏览器中","voice.chooseSaved":"选择已保存音色...","voice.libraryName":"库名称","voice.save":"保存音色","common.delete":"删除","common.cancel":"取消","common.close":"关闭","common.refresh":"刷新","common.browse":"浏览","common.apply":"应用","options.modelParameters":"模型参数","options.additional":"其他选项","run.run":"运行","run.cancel":"取消","run.working":"处理中…","result.title":"输出","result.label":"结果","result.saveWav":"保存 WAV","result.empty":"生成的音频和结构化结果将显示在这里。","models.eyebrow":"模型库","models.title":"本地软件包","models.subtitle":"无需离开原生界面即可下载和管理模型包。","models.folder":"模型文件夹","models.useDefault":"使用默认值","models.showTypes":"显示模型类型","models.stopDownload":"停止下载","models.cleanPartial":"清理部分下载","runtime.title":"会话日志","runtime.status":"状态","runtime.backend":"后端","runtime.registered":"已注册","runtime.resident":"已加载","runtime.noEvents":"暂无事件。","folder.title":"选择文件夹","folder.up":"上一级","folder.select":"选择此文件夹","common.applying":"正在应用…","common.disabled":"已禁用","common.enabled":"已启用","file.choose":"选择文件","file.none":"未选择文件","folder.closeLabel":"关闭文件夹浏览器","folder.empty":"此文件夹没有子文件夹。","folder.eyebrow":"模型文件夹","folder.loading":"正在加载...","folder.loadingFolders":"正在加载文件夹...","footer.embedded":"SvelteKit · 内置于 audiocpp_server","models.checkingSize":"正在检查大小…","models.default":"默认","models.downloaded":"已下载","models.folderHint":"用于下载、本地检测和模型加载","models.folderPlaceholder":"audiocpp_server 旁的 models 文件夹","models.hfAccess":"需要 HF 访问权限","models.model":"模型","models.queued":"排队中","models.selected":"已选择","models.sharedPackage":"使用上方显示的共享 {name} 软件包。","models.sizeUnavailable":"大小不可用","models.stopping":"正在停止","models.update":"更新","models.updateAvailable":"有可用更新","models.upToDate":"已是最新","models.variants":"变体","models.versionUnknown":"版本未知","nav.primary":"主导航","nav.workflows":"音频工作流程","arena.eyebrow":"对比场","arena.title.tts":"TTS 对比","arena.title.vc":"语音转换对比","arena.title.asr":"ASR 对比","arena.subtitle.tts":"用同一文本依次运行已选择的 TTS 模型和精度包。","arena.subtitle.vc":"用同一源音频依次运行已选择的语音转换模型。","arena.subtitle.asr":"用同一源音频依次运行已选择的 ASR 模型并比较转录结果。","arena.mode.tts":"TTS","arena.mode.vc":"语音转换","arena.mode.asr":"ASR","arena.input.label":"输入","arena.input.title":"共享请求","arena.input.textPlaceholder":"输入一段文本，用于对比多个 TTS 模型","arena.input.groundTruth":"真实文本","arena.input.groundTruthPlaceholder":"粘贴期望转录文本以计算 WER","arena.shared":"共享","arena.voice.label":"声音","arena.voice.modelDefault":"模型默认","arena.voice.builtin":"内置演示声音","arena.voice.reference":"参考音频","arena.voice.builtinNote":"内置声音会作为 voice ID 传给每个模型。此声音来源不需要参考文本。","arena.voice.targetSpeaker":"目标说话人音频","arena.voice.clearTarget":"清除目标","arena.voice.clearReference":"清除参考","arena.options.shared":"共享选项","arena.queue.label":"队列","arena.queue.title":"模型","arena.queue.add":"添加","arena.queue.remove":"移除","arena.queue.clear":"清空","arena.queue.empty":"添加已安装模型或精度包进行对比。","arena.run":"运行对比","arena.package.label":"软件包","arena.package.configured":"已配置","arena.results.title":"比较输出","arena.results.empty":"暂无对比结果。","arena.metric.wall":"耗时","arena.metric.rtf":"RTF","arena.metric.wer":"WER","arena.itemStatus.queued":"排队中","arena.itemStatus.loading":"加载中","arena.itemStatus.running":"运行中","arena.itemStatus.done":"完成","arena.itemStatus.failed":"失败","arena.itemStatus.skipped":"跳过","arena.status.duplicate":"{model} {package} 已在对比队列中。","arena.status.loadingModel":"正在加载模型","arena.status.runningRequest":"正在运行请求","arena.status.addModel":"请至少添加一个模型到对比场。","arena.status.running":"正在运行 {mode} 对比...","arena.status.complete":"对比运行完成。","arena.note.skippedTargetVoice":"已跳过：此语音转换模型需要目标说话人音频。","arena.note.skippedReferenceText":"已跳过：此模型对所选声音输入需要参考文本。","arena.note.builtinVoice":"使用内置声音：{voice}。","arena.note.referenceVoice":"使用参考声音。","arena.note.referenceUnsupported":"使用模型默认声音；此模型不支持参考声音。","arena.note.defaultVoice":"使用默认声音：{voice}。","arena.note.skippedReferenceVoice":"已跳过：此模型需要参考声音。","arena.error.seed":"Seed 必须为 -1 或 0 到 4294967295 的无符号 32 位整数。","arena.error.jsonObject":"必须是对象","arena.error.invalidJson":"对比场选项 JSON 无效：{error}","arena.error.unregistered":"此服务器未注册已配置模型。","arena.error.notDownloaded":"{package} 未下载。","arena.error.loadFailed":"模型未加载。","arena.error.missingCatalog":"模型已不在目录中。","arena.error.enterTtsText":"请输入 TTS 对比文本。","arena.error.chooseAsrSource":"请选择 ASR 对比的源音频。","arena.error.chooseVcSource":"请选择语音转换对比的源音频。","arena.error.noAudio":"响应中没有音频。","request.alignmentText":"对齐文本","request.context":"上下文提示","request.contextHint":"可选术语或名称","request.duration":"持续时间（秒）","request.liveDescription":"使用模型的流式模式连续处理四秒请求。","request.liveTitle":"实时麦克风转录","request.lyrics":"歌词","request.optional":"可选","request.recordingMicrophone":"正在录制麦克风","request.soundPlaceholder":"描述声音或音乐…","request.startLive":"开始实时处理","request.stopLive":"停止实时处理","request.stopRecording":"停止录制","request.textPlaceholder":"输入文本…","request.voiceDescription":"音色描述","request.voiceDescriptionPlaceholder":"温暖、平静且语速适中的声音…","result.track":"音轨","result.tracks":"音轨","runtime.eyebrow":"运行环境","runtime.subtitle":"浏览器端生命周期和请求事件。","status.ready":"就绪","studio.estimatedVram":"预计 VRAM：{value} GB","studio.vram":"VRAM —","task.align":"强制对齐","task.asr":"语音转录","task.clon":"声音克隆","task.diar":"说话人分离","task.gen":"音乐生成","task.s2s":"语音编辑","task.sep":"音源分离","task.svc":"歌声音色转换","task.tts":"文本转语音","task.vad":"语音活动检测","task.vc":"语音转换","task.vdes":"音色设计","voice.bundledNote":"内置参考音频及其匹配转录将自动提供。","voice.namePlaceholder":"我的参考音色","voice.recommendedClone":"建议用于克隆","voice.recording":"正在录制参考音色","voice.requiredClone":"此声音克隆必需","voice.transcriptPlaceholder":"输入参考音频中的准确文字，或加载上方匹配的 .txt 文件。","file.clear":"清除文件","file.preview":"预览","param.ace_step.audio_cover_strength.info":"1=贴近原曲，0=自由发挥；建议 0.5","param.ace_step.bpm.info":"0=不指定","param.ace_step.bpm.label":"【曲谱】BPM","param.ace_step.cover_noise_strength.info":"保旋律强度；推荐 0.1~0.25","param.ace_step.flow_edit_n_avg.info":"每步多次采样取平均（remix 默认 2）；1=最快","param.ace_step.flow_edit_n_max.info":"唱不出新歌词时降到 0.7~0.9","param.ace_step.flow_edit_n_min.info":"调大更保源曲、换词更弱","param.ace_step.keyscale.label":"【曲谱】keyscale","param.ace_step.keyscale.placeholder":"如 F major","param.ace_step.num_inference_steps.info":"扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8","param.ace_step.route.info":"cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md","param.ace_step.route.label":"route（操作类型）","param.ace_step.shift.info":"原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字","param.ace_step.shift.label":"shift（时间步弯曲）","param.ace_step.source_caption.placeholder":"源歌曲描述；『🔍 分析』自动填","param.ace_step.source_lyrics.placeholder":"源歌曲原歌词；『🔍 分析』自动填","param.ace_step.timesignature.label":"【曲谱】timesignature","param.ace_step.timesignature.placeholder":"如 4","param.chatterbox.exaggeration.info":"改动后需重新『加载模型』才生效","param.chatterbox.guidance_scale.info":"改动后需重新『加载模型』才生效","param.chatterbox.num_inference_steps.label":"num_inference_steps（生成步数）","param.chatterbox.s3gen_cfg_rate.label":"s3gen_cfg_rate（音色引导强度）","param.dramabox.audio_chunk_duration_sec.label":"audio_chunk_duration_sec（长文本分段目标时长）","param.dramabox.audio_chunk_threshold_sec.label":"audio_chunk_threshold_sec（长文本阈值）","param.dramabox.cross_fade_duration_sec.label":"cross_fade_duration_sec（分段交叉淡化）","param.dramabox.duration_scale.label":"duration_scale（自动估时倍率）","param.dramabox.duration_sec.label":"duration_sec（0=自动估时）","param.dramabox.guidance_rescale.placeholder":"auto 或数值","param.dramabox.negative_prompt.label":"negative_prompt（负向提示）","param.dramabox.negative_prompt.placeholder":"留空=模型内置质量提示","param.dramabox.reference_duration_sec.label":"reference_duration_sec（参考音频裁剪/重复秒数）","param.heartmula.infinite_mode.label":"infinite_mode（长输出分段生成）","param.heartmula.num_inference_steps.label":"num_inference_steps（codec 步数）","param.heartmula.tags.info":"风格/情绪/乐器/人声标签，模型必需","param.heartmula.tags.label":"tags（必填，逗号分隔）","param.index_tts2.duration_factor.info":"对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容","param.index_tts2.duration_factor.label":"duration_factor（语速/时长倍率，>1 更慢，<1 更快）","param.index_tts2.emotion_alpha.label":"emotion_alpha（情感强度）","param.index_tts2.emotion_text.info":"填写后自动开启情感条件（use_emotion_text）","param.index_tts2.emotion_text.label":"emotion_text（情绪参考文本）","param.index_tts2.emotion_text.placeholder":"例：你吓死我了！你是鬼吗？","param.index_tts2.interval_silence_ms.label":"interval_silence_ms（分段间静音）","param.index_tts2.lang.info":"仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择","param.index_tts2.lang.label":"lang（语种提示, 仅 IndexTTS2.5 模型）","param.index_tts2.use_emotion_text.label":"use_emotion_text（从朗读文本推断情感）","param.index_tts2.use_random_emotion.label":"use_random_emotion（随机情感）","param.inflect_v2.speaking_rate.label":"speaking_rate（语速倍率）","param.inflect_v2.text_chunk_size.label":"text_chunk_size（长文本分段字符数）","param.inflect_v2.variation.label":"variation（音色变化）","param.irodori_tts.duration_scale.label":"duration_scale（语速倒数，越大越慢）","param.irodori_tts.duration_sec.label":"duration_sec（0=模型自动预测时长）","param.irodori_tts.num_inference_steps.label":"num_inference_steps（RF 扩散步数）","param.magpie_tts.voice_id.label":"voice_id（打包音色）","param.miotts.best_of_n.label":"best_of_n（候选数，>1 自动开启）","param.neutts.emotion.label":"emotion（情绪）","param.neutts.voice_id.label":"voice_id（内置音色）","param.omnivoice.instruct.label":"instruct（风格/音色指令）","param.omnivoice.instruct.placeholder":"如：以轻快的语气朗读","param.personaplex.voice_id.label":"voice_id（打包音色）","param.pocket_tts.frames_after_eos.label":"frames_after_eos（-1=自动）","param.qwen3_tts.instruct.label":"instruct（仅 VoiceDesign/CustomVoice）","param.qwen3_tts.instruct.placeholder":"风格/音色指令，Base 版忽略","param.qwen3_tts.speaker.label":"speaker（仅 CustomVoice）","param.qwen3_tts.speaker.placeholder":"内置音色名，其它版忽略","param.rvc.output_sample_rate.label":"output_sample_rate（0=跟随音色）","param.rvc.retrieval_index_path.placeholder":"可选 .index 路径","param.rvc.semitone_shift.label":"semitone_shift（半音变调）","param.rvc.voice_id.label":"voice_id（打包音色）","param.rvc.voice_model_path.label":"voice_model_path（自定义 RVC .pth/.pt）","param.rvc.voice_model_path.placeholder":"留空=使用打包音色","param.seed_vc.inference_cfg_rate.label":"inference_cfg_rate（仅 v1 路径）","param.seed_vc.intelligibility_cfg_rate.label":"intelligibility_cfg_rate（仅 v2_vc）","param.seed_vc.length_adjust.label":"length_adjust（时长伸缩）","param.seed_vc.num_inference_steps.info":"CFM 扩散步数","param.seed_vc.route.info":"留空=按任务默认","param.seed_vc.route.label":"route（转换路径）","param.seed_vc.similarity_cfg_rate.label":"similarity_cfg_rate（仅 v2_vc）","param.sense_asr.enable_itn.label":"enable_itn（逆文本规范化）","param.sense_asr.keep_tags.label":"keep_tags（保留语言/情绪/事件标签）","param.stable_audio.audio_input_kind.label":"audio_input_kind（仅上传源音频时生效）","param.stable_audio.init_noise_level.label":"init_noise_level（init_audio 强度）","param.stable_audio.num_inference_steps.info":"RF 扩散步数","param.supertonic.num_inference_steps.label":"num_inference_steps（流匹配步数）","param.supertonic.speaking_rate.label":"speaking_rate（语速倍率）","param.supertonic.voice.label":"voice（预置音色：M 男声 / F 女声）","param.vevo2.num_inference_steps.info":"流匹配步数","param.vevo2.route.info":"留空=按任务默认；详见 webui/README.md","param.vevo2.route.label":"route（任务路线）","param.vevo2.temperature.info":"默认取自模型 generation_config.json","param.vevo2.temperature.label":"temperature（AR 路线用）","param.vevo2.top_k.info":"默认取自模型 generation_config.json","param.vevo2.top_k.label":"top_k（AR 路线用）","param.vevo2.top_p.label":"top_p（AR 路线用）","param.vevo2.use_pitch_shift.info":"留空=按路线默认","param.vevo2.use_pitch_shift.label":"use_pitch_shift（自动音高对齐）","param.vibevoice.guidance_scale.info":"CFG 引导强度","param.vibevoice.max_length_times.info":"最大输出长度倍数","param.vibevoice.num_inference_steps.info":"扩散步数（官方默认 10），越大越慢越稳","param.vibevoice.voice_samples.label":"voice_samples（多说话人，逗号分隔 wav，≤4）","param.vibevoice.voice_samples.placeholder":"D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色","param.voxcpm1.num_inference_steps.info":"CFM/DiT 步数","param.voxcpm1.retry_badcase.label":"retry_badcase（自动重试异常输出）","param.voxcpm2.num_inference_steps.info":"CFM/DiT 步数","param.voxcpm2.retry_badcase.label":"retry_badcase（自动重试异常输出）","request.autoDuration":"-1 = 自动","request.rewriteCaption":"重写描述","request.rewritingCaption":"正在重写描述...","studio.subtitle.conversion":"将录音转换为另一种声音，同时保留原有的说话或演唱表现。","studio.subtitle.separation":"将录音分离为人声、乐器或其他可用音轨。","task.midi":"音频转 MIDI","voice.configured":"已配置音色"}')},Hc={"app.nativeStudio":"Native Studio","nav.studio":"Studio","nav.arena":"Arena","nav.models":"Models","nav.runtime":"Runtime","nav.primary":"Primary navigation","nav.workflows":"Audio workflows","language.label":"Interface language","theme.label":"Theme","theme.system":"System","theme.dark":"Dark","theme.light":"Light","arena.eyebrow":"ARENA","arena.title.tts":"TTS comparison","arena.title.vc":"Voice conversion comparison","arena.title.asr":"ASR comparison","arena.subtitle":"Run the same input through selected installed models and package variants, one after another.","arena.subtitle.tts":"Run the same text through selected TTS models and package variants.","arena.subtitle.vc":"Run the same source audio through selected voice conversion models.","arena.subtitle.asr":"Run the same source audio through selected ASR models and compare transcripts.","arena.mode.tts":"TTS","arena.mode.vc":"Voice conversion","arena.mode.asr":"ASR","arena.input.label":"Input","arena.input.title":"Shared request","arena.input.textPlaceholder":"Enter one prompt to compare across TTS models","arena.input.groundTruth":"Ground truth text","arena.input.groundTruthPlaceholder":"Paste the expected transcript to calculate WER","arena.shared":"shared","arena.voice.label":"Voice","arena.voice.modelDefault":"Model default","arena.voice.builtin":"Built-in demo voice","arena.voice.reference":"Reference audio","arena.voice.builtinNote":"Built-in voices are passed as voice IDs for each model. Reference text is not required for this voice source.","arena.voice.targetSpeaker":"Target speaker audio","arena.voice.clearTarget":"Clear target","arena.voice.clearReference":"Clear reference","arena.options.shared":"Shared options","arena.queue.label":"Queue","arena.queue.title":"Models","arena.queue.add":"Add","arena.queue.remove":"Remove","arena.queue.clear":"Clear","arena.queue.empty":"Add installed models or dtype packages to compare.","arena.run":"Run arena","arena.package.label":"Package","arena.package.configured":"Configured","arena.results.title":"Compare outputs","arena.results.empty":"No arena results yet.","arena.metric.wall":"wall","arena.metric.rtf":"rtf","arena.metric.wer":"wer","arena.itemStatus.queued":"queued","arena.itemStatus.loading":"loading","arena.itemStatus.running":"running","arena.itemStatus.done":"done","arena.itemStatus.failed":"failed","arena.itemStatus.skipped":"skipped","arena.status.duplicate":"{model} {package} is already in the arena.","arena.status.loadingModel":"Loading model","arena.status.runningRequest":"Running request","arena.status.addModel":"Add at least one model to the arena.","arena.status.running":"Running {mode} arena...","arena.status.complete":"Arena run complete.","arena.note.skippedTargetVoice":"Skipped because this VC model requires target speaker audio.","arena.note.skippedReferenceText":"Skipped because this model requires reference text for the selected voice input.","arena.note.builtinVoice":"Used built-in voice: {voice}.","arena.note.referenceVoice":"Used reference voice.","arena.note.referenceUnsupported":"Used default voice; reference voice is not supported.","arena.note.defaultVoice":"Used default voice: {voice}.","arena.note.skippedReferenceVoice":"Skipped because this model requires a reference voice.","arena.error.seed":"Seed must be -1 or an unsigned 32-bit integer (0 to 4294967295).","arena.error.jsonObject":"must be an object","arena.error.invalidJson":"Arena options JSON is invalid: {error}","arena.error.unregistered":"Configured model is not registered by this server.","arena.error.notDownloaded":"{package} is not downloaded.","arena.error.loadFailed":"Model did not load.","arena.error.missingCatalog":"Model is no longer in the catalog.","arena.error.enterTtsText":"Enter text for the TTS arena.","arena.error.chooseAsrSource":"Choose source audio for the ASR arena.","arena.error.chooseVcSource":"Choose source audio for the VC arena.","arena.error.noAudio":"Response did not include audio.","workflow.tts":"Text to speech","workflow.asr":"ASR / Transcription","workflow.music":"Music generation","workflow.vc":"Voice conversion","workflow.sep":"Source separation","workflow.analysis":"Audio analysis","workflow.design":"Voice design","task.tts":"Text to speech","task.clon":"Voice cloning","task.asr":"Transcription","task.gen":"Music generation","task.midi":"Audio to MIDI","task.vc":"Voice conversion","task.svc":"Singing voice conversion","task.s2s":"Speech editing","task.sep":"Source separation","task.vad":"Voice activity","task.diar":"Speaker diarization","task.align":"Forced alignment","task.vdes":"Voice design","studio.eyebrow":"LOCAL AUDIO INTELLIGENCE","studio.title":"Audio studio","studio.subtitle.tts":"Generate natural speech from text, with voice presets and cloning when supported.","studio.subtitle.asr":"Transcribe spoken audio into text, with language and timestamp controls when supported.","studio.subtitle.music":"Create music and sound from a prompt, lyrics, or reference audio when supported.","studio.subtitle.vc":"Transform a recording into another voice while preserving the spoken or sung performance.","studio.subtitle.sep":"Split a recording into vocals, instruments, or other available audio stems.","studio.subtitle.conversion":"Transform a recording into another voice while preserving the spoken or sung performance.","studio.subtitle.separation":"Split a recording into vocals, instruments, or other available audio stems.","studio.subtitle.analysis":"Analyze audio for speech activity, speakers, timing, and alignment.","studio.subtitle.design":"Create or refine a voice from a written description and supported reference controls.","studio.model":"Model","studio.noModel":"No model selected","studio.resident":"Resident","studio.notInstalled":"Not installed","studio.available":"Available","studio.chooseInstalled":"Choose an installed model","studio.notDownloaded":"not downloaded","studio.pathFound":"Path found","studio.pathMissing":"Path missing","studio.pathUnknown":"Path not inspected","studio.estimatedVram":"{value} GB estimated VRAM","studio.vram":"VRAM —","studio.load":"Load model","studio.unload":"Unload model","studio.working":"Working…","studio.bundledLoaded":"Bundled · loaded","request.label":"REQUEST","request.title":"Input & controls","request.prompt":"Prompt","request.alignmentText":"Alignment text","request.text":"Text","request.soundPlaceholder":"Describe the sound or music…","request.textPlaceholder":"Enter the text…","request.splitLongText":"Split and merge long text","request.charactersPerChunk":"Characters per chunk","request.lyrics":"Lyrics","request.optional":"optional","request.context":"Context prompt","request.contextHint":"optional terminology or names","request.voiceDescription":"Voice description","request.voiceDescriptionPlaceholder":"A warm, calm voice with measured pacing…","request.language":"Language","request.autoLanguage":"blank = auto","request.seed":"Seed","request.randomSeed":"-1 = random","request.maxTokens":"Maximum tokens","request.duration":"Duration seconds","request.autoDuration":"-1 = auto","request.rewriteCaption":"Rewrite caption","request.rewritingCaption":"Rewriting caption...","request.minimaxFrames":"{frames} aligned output frames","request.sourceAudio":"Source audio","request.stopRecording":"Stop recording","request.recordingMicrophone":"Recording microphone","request.recordMicrophone":"Record microphone","request.liveTitle":"Live microphone transcription","request.liveDescription":"Processes consecutive four-second requests using the model's streaming mode.","request.stopLive":"Stop live","request.startLive":"Start live","voice.quickStart":"Quick-start voice presets (demo voices)","voice.configured":"Configured voices","voice.useReference":"Use a reference audio file below","voice.bundledNote":"The bundled reference audio and its matching transcript are supplied automatically.","voice.reference":"Reference voice","voice.required":"required","voice.optional":"optional","voice.referenceText":"Reference text","voice.recording":"Recording voice reference","voice.transcript":"Reference transcript","voice.requiredClone":"required for this voice clone","voice.recommendedClone":"recommended for cloning","voice.transcriptPlaceholder":"Type the exact words spoken in the reference audio, or load a matching .txt file above.","voice.saved":"Saved voices","voice.browserOnly":"stored only in this browser","voice.chooseSaved":"Choose a saved voice...","voice.libraryName":"Library name","voice.namePlaceholder":"My reference voice","voice.save":"Save voice","common.delete":"Delete","common.enabled":"Enabled","common.disabled":"Disabled","common.cancel":"Cancel","common.close":"Close","common.refresh":"Refresh","common.browse":"Browse","common.apply":"Apply","common.applying":"Applying…","file.choose":"Choose file","file.none":"No file chosen","file.preview":"Preview","file.clear":"Clear file","options.modelParameters":"Model parameters","options.additional":"Additional options","param.minimax_h3.num_inference_steps.label":"Denoising steps","param.minimax_h3.num_inference_steps.info":"Twelve denoising steps provide a practical quality and performance balance.","param.minimax_h3.num_frames.label":"Output frames","param.minimax_h3.num_frames.info":"Calculated from duration at approximately 24 frames per output second. 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 <html lang="en">
 	<head>
 		<meta charset="utf-8" />
@@ -124,10 +132,10 @@ <h1>`+a+`</h1>
 		</div>
 	</body>
 </html>
-`},Symbol.toStringTag,{value:"Module"}));return dl.app=vf,dl.start=Xg,Object.defineProperty(dl,Symbol.toStringTag,{value:"Module"}),dl})({});
+`},Symbol.toStringTag,{value:"Module"}));return hl.app=kf,hl.start=nh,Object.defineProperty(hl,Symbol.toStringTag,{value:"Module"}),hl})({});
 
 
-					__sveltekit_1gnu00h.app.start(element);
+					__sveltekit_t8lyxg.app.start(element);
 				}
 			</script>
 		</div>
diff --git a/webui/native/lang/lang_it.json b/webui/native/lang/lang_it.json
index d64880980..d8f744a32 100644
--- a/webui/native/lang/lang_it.json
+++ b/webui/native/lang/lang_it.json
@@ -134,7 +134,6 @@
     "models.hfAccess": "Accesso HF richiesto",
     "models.model": "modello",
     "models.queued": "in coda",
-    "models.reinstall": "Reinstalla",
     "models.selected": "Selezionato",
     "models.sharedPackage": "Usa il pacchetto condiviso {name} mostrato sopra.",
     "models.sizeUnavailable": "dimensione non disponibile",
@@ -150,7 +149,6 @@
     "arena.title.tts": "Confronto TTS",
     "arena.title.vc": "Confronto conversione vocale",
     "arena.title.asr": "Confronto ASR",
-    "arena.subtitle": "Esegue lo stesso input sui modelli installati e sui pacchetti scelti, uno dopo l'altro.",
     "arena.subtitle.tts": "Esegue lo stesso testo sui modelli TTS e sui pacchetti scelti.",
     "arena.subtitle.vc": "Esegue lo stesso audio sorgente sui modelli di conversione vocale scelti.",
     "arena.subtitle.asr": "Esegue lo stesso audio sorgente sui modelli ASR scelti e confronta le trascrizioni.",
@@ -256,6 +254,47 @@
     "voice.recommendedClone": "consigliata per la clonazione",
     "voice.recording": "Registrazione voce di riferimento",
     "voice.requiredClone": "obbligatoria per questa clonazione vocale",
-    "voice.transcriptPlaceholder": "Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente."
+    "voice.transcriptPlaceholder": "Digita le parole esatte dell'audio di riferimento oppure carica il file .txt corrispondente.",
+    "file.clear": "Cancella file",
+    "file.preview": "Anteprima",
+    "param.chatterbox.s3gen_cfg_rate.label": "s3gen_cfg_rate (guida della voce)",
+    "param.controlfoley.negative_prompt.placeholder": "prompt negativo opzionale",
+    "param.dramabox.duration_sec.label": "duration_sec (0 = automatico)",
+    "param.echo_tts.guidance_interval.info": "Aggiorna le corsie CFG non condizionate ogni N passaggi guidati. Valori più alti sono più veloci e funzionano meglio con molti passaggi; 1 offre la fedeltà massima.",
+    "param.echo_tts.guidance_interval.label": "Intervallo di guida",
+    "param.echo_tts.num_inference_steps.info": "Passaggi del campionatore Euler.",
+    "param.echo_tts.num_inference_steps.label": "Passaggi di campionamento",
+    "param.echo_tts.reference_duration_sec.info": "Taglia il riferimento del parlante prima della codifica. Circa 10 s di solito danno la clonazione migliore.",
+    "param.echo_tts.reference_duration_sec.label": "Taglio del riferimento (s)",
+    "param.echo_tts.seed.label": "Seed",
+    "param.echo_tts.speaker_guidance_scale.label": "Guida del parlante",
+    "param.echo_tts.text_guidance_scale.label": "Guida del testo",
+    "param.echo_tts.truncation_factor.label": "Troncamento del rumore",
+    "param.index_tts2.duration_factor.info": "Corrisponde al duration_factor ufficiale di IndexTTS2.5: scala la durata dell'output senza modificare timbro o contenuto",
+    "param.index_tts2.duration_factor.label": "duration_factor (moltiplicatore di durata; >1 più lento, <1 più veloce)",
+    "param.index_tts2.emotion_text.info": "Impostandolo si attiva il condizionamento emotivo.",
+    "param.index_tts2.emotion_text.label": "emotion_text (testo di riferimento dell'emozione)",
+    "param.index_tts2.lang.info": "Vale solo per i modelli IndexTTS2.5 (multilingua): auto sceglie zh quando il testo contiene caratteri Han, altrimenti en; imposta ja/es/ar esplicitamente",
+    "param.index_tts2.lang.label": "lang (suggerimento di lingua, solo modelli IndexTTS2.5)",
+    "param.index_tts2.use_emotion_text.label": "use_emotion_text (deduci dal testo)",
+    "param.irodori_tts.duration_sec.label": "duration_sec (0 = automatico)",
+    "param.magpie_tts.voice_id.label": "voice_id (voce inclusa nel pacchetto)",
+    "param.minimax_music3.ar_guidance_scale.info": "Guida senza classificatore del campionamento dei codici semantici e residui.",
+    "param.minimax_music3.ar_guidance_scale.label": "Scala di guida AR",
+    "param.minimax_music3.guidance_scale.label": "Scala di guida del flow",
+    "param.minimax_music3.num_inference_steps.info": "Passaggi Euler di flow matching per ogni finestra di denoising da 200 fotogrammi.",
+    "param.minimax_music3.num_inference_steps.label": "Passaggi di flow per finestra",
+    "param.neutts.voice_id.label": "voice_id (voce integrata)",
+    "param.personaplex.system_prompt.placeholder": "Lascia vuoto per usare la casella di testo come system prompt.",
+    "param.personaplex.voice_id.label": "voice_id (voce inclusa nel pacchetto)",
+    "param.rvc.output_sample_rate.label": "output_sample_rate (0 = predefinito della voce)",
+    "param.supertonic.voice.label": "voice (preset M = maschile, F = femminile)",
+    "request.autoDuration": "-1 = automatico",
+    "request.rewriteCaption": "Riscrivi descrizione",
+    "request.rewritingCaption": "Riscrittura descrizione...",
+    "studio.subtitle.conversion": "Trasforma una registrazione in un'altra voce conservando l'interpretazione parlata o cantata.",
+    "studio.subtitle.separation": "Separa una registrazione in voce, strumenti o altre tracce audio disponibili.",
+    "task.midi": "Da audio a MIDI",
+    "voice.configured": "Voci configurate"
   }
 }
diff --git a/webui/native/lang/lang_pl.json b/webui/native/lang/lang_pl.json
index e4aff0311..e2433136b 100644
--- a/webui/native/lang/lang_pl.json
+++ b/webui/native/lang/lang_pl.json
@@ -134,7 +134,6 @@
     "models.hfAccess": "Wymagany dostęp do HF",
     "models.model": "model",
     "models.queued": "w kolejce",
-    "models.reinstall": "Zainstaluj ponownie",
     "models.selected": "Wybrano",
     "models.sharedPackage": "Używa wspólnego pakietu {name} pokazanego powyżej.",
     "models.sizeUnavailable": "rozmiar niedostępny",
@@ -150,7 +149,6 @@
     "arena.title.tts": "Porównanie TTS",
     "arena.title.vc": "Porównanie konwersji głosu",
     "arena.title.asr": "Porównanie ASR",
-    "arena.subtitle": "Uruchamia ten sam input na wybranych zainstalowanych modelach i wariantach pakietów, jeden po drugim.",
     "arena.subtitle.tts": "Uruchamia ten sam tekst na wybranych modelach TTS i wariantach pakietów.",
     "arena.subtitle.vc": "Uruchamia to samo audio źródłowe na wybranych modelach konwersji głosu.",
     "arena.subtitle.asr": "Uruchamia to samo audio źródłowe na wybranych modelach ASR i porównuje transkrypcje.",
@@ -256,6 +254,47 @@
     "voice.recommendedClone": "zalecana do klonowania",
     "voice.recording": "Nagrywanie głosu referencyjnego",
     "voice.requiredClone": "wymagana dla tego klonowania głosu",
-    "voice.transcriptPlaceholder": "Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej."
+    "voice.transcriptPlaceholder": "Wpisz dokładne słowa z audio referencyjnego lub wczytaj pasujący plik .txt powyżej.",
+    "file.clear": "Wyczyść plik",
+    "file.preview": "Podgląd",
+    "param.chatterbox.s3gen_cfg_rate.label": "s3gen_cfg_rate (naprowadzanie głosem)",
+    "param.controlfoley.negative_prompt.placeholder": "opcjonalne polecenie negatywne",
+    "param.dramabox.duration_sec.label": "duration_sec (0 = automatycznie)",
+    "param.echo_tts.guidance_interval.info": "Odświeża bezwarunkowe ścieżki CFG co N-ty krok naprowadzany. Większe wartości są szybsze i działają najlepiej przy większej liczbie kroków; 1 daje najwyższą wierność.",
+    "param.echo_tts.guidance_interval.label": "Interwał naprowadzania",
+    "param.echo_tts.num_inference_steps.info": "Kroki próbnika Eulera.",
+    "param.echo_tts.num_inference_steps.label": "Kroki próbkowania",
+    "param.echo_tts.reference_duration_sec.info": "Przytnij referencję mówcy przed kodowaniem. Około 10 s zwykle daje najlepsze klonowanie.",
+    "param.echo_tts.reference_duration_sec.label": "Przycięcie referencji (s)",
+    "param.echo_tts.seed.label": "Ziarno",
+    "param.echo_tts.speaker_guidance_scale.label": "Naprowadzanie mówcą",
+    "param.echo_tts.text_guidance_scale.label": "Naprowadzanie tekstem",
+    "param.echo_tts.truncation_factor.label": "Obcinanie szumu",
+    "param.index_tts2.duration_factor.info": "Odpowiada oficjalnemu duration_factor z IndexTTS2.5: skaluje czas trwania wyjścia bez zmiany barwy ani treści",
+    "param.index_tts2.duration_factor.label": "duration_factor (mnożnik czasu trwania; >1 wolniej, <1 szybciej)",
+    "param.index_tts2.emotion_text.info": "Ustawienie tego pola włącza warunkowanie emocjami.",
+    "param.index_tts2.emotion_text.label": "emotion_text (tekst referencyjny emocji)",
+    "param.index_tts2.lang.info": "Działa tylko w modelach IndexTTS2.5 (wielojęzycznych): auto wybiera zh, gdy tekst zawiera znaki Han, w przeciwnym razie en; ja/es/ar ustaw wprost",
+    "param.index_tts2.lang.label": "lang (podpowiedź języka, tylko modele IndexTTS2.5)",
+    "param.index_tts2.use_emotion_text.label": "use_emotion_text (wywnioskuj z tekstu)",
+    "param.irodori_tts.duration_sec.label": "duration_sec (0 = automatycznie)",
+    "param.magpie_tts.voice_id.label": "voice_id (głos z pakietu)",
+    "param.minimax_music3.ar_guidance_scale.info": "Naprowadzanie bez klasyfikatora przy próbkowaniu kodów semantycznych i rezydualnych.",
+    "param.minimax_music3.ar_guidance_scale.label": "Skala naprowadzania AR",
+    "param.minimax_music3.guidance_scale.label": "Skala naprowadzania flow",
+    "param.minimax_music3.num_inference_steps.info": "Kroki Eulera flow matching na każde 200-klatkowe okno odszumiania.",
+    "param.minimax_music3.num_inference_steps.label": "Kroki flow na okno",
+    "param.neutts.voice_id.label": "voice_id (głos wbudowany)",
+    "param.personaplex.system_prompt.placeholder": "Zostaw puste, aby użyć pola tekstowego jako system prompt.",
+    "param.personaplex.voice_id.label": "voice_id (głos z pakietu)",
+    "param.rvc.output_sample_rate.label": "output_sample_rate (0 = domyślna dla głosu)",
+    "param.supertonic.voice.label": "voice (M = głos męski, F = żeński)",
+    "request.autoDuration": "-1 = automatycznie",
+    "request.rewriteCaption": "Przepisz opis",
+    "request.rewritingCaption": "Przepisywanie opisu...",
+    "studio.subtitle.conversion": "Przekształcaj nagranie w inny głos, zachowując sposób mówienia lub śpiewania.",
+    "studio.subtitle.separation": "Rozdzielaj nagranie na wokal, instrumenty lub inne dostępne ścieżki.",
+    "task.midi": "Audio na MIDI",
+    "voice.configured": "Skonfigurowane głosy"
   }
 }
diff --git a/webui/native/lang/lang_ru.json b/webui/native/lang/lang_ru.json
index 7070c35c6..42032f5c3 100644
--- a/webui/native/lang/lang_ru.json
+++ b/webui/native/lang/lang_ru.json
@@ -134,7 +134,6 @@
     "models.hfAccess": "Требуется доступ HF",
     "models.model": "модель",
     "models.queued": "в очереди",
-    "models.reinstall": "Переустановить",
     "models.selected": "Выбрано",
     "models.sharedPackage": "Использует общий пакет {name}, показанный выше.",
     "models.sizeUnavailable": "размер недоступен",
@@ -150,7 +149,6 @@
     "arena.title.tts": "Сравнение TTS",
     "arena.title.vc": "Сравнение преобразования голоса",
     "arena.title.asr": "Сравнение ASR",
-    "arena.subtitle": "Запускает один и тот же ввод через выбранные установленные модели и варианты пакетов по очереди.",
     "arena.subtitle.tts": "Запускает один и тот же текст через выбранные модели TTS и варианты пакетов.",
     "arena.subtitle.vc": "Запускает одно и то же исходное аудио через выбранные модели преобразования голоса.",
     "arena.subtitle.asr": "Запускает одно и то же исходное аудио через выбранные модели ASR и сравнивает расшифровки.",
@@ -256,6 +254,47 @@
     "voice.recommendedClone": "рекомендуется для клонирования",
     "voice.recording": "Запись эталонного голоса",
     "voice.requiredClone": "требуется для этого клонирования",
-    "voice.transcriptPlaceholder": "Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше."
+    "voice.transcriptPlaceholder": "Введите точные слова из эталонного аудио или загрузите соответствующий файл .txt выше.",
+    "file.clear": "Очистить файл",
+    "file.preview": "Предпросмотр",
+    "param.chatterbox.s3gen_cfg_rate.label": "s3gen_cfg_rate (управление голосом)",
+    "param.controlfoley.negative_prompt.placeholder": "необязательный негативный запрос",
+    "param.dramabox.duration_sec.label": "duration_sec (0 = автоматически)",
+    "param.echo_tts.guidance_interval.info": "Обновляет безусловные линии CFG на каждом N-м управляемом шаге. Больше — быстрее и лучше работает при большем числе шагов; 1 даёт максимальную точность.",
+    "param.echo_tts.guidance_interval.label": "Интервал управления",
+    "param.echo_tts.num_inference_steps.info": "Шаги сэмплера Эйлера.",
+    "param.echo_tts.num_inference_steps.label": "Шаги сэмплирования",
+    "param.echo_tts.reference_duration_sec.info": "Обрезает эталон голоса перед кодированием. Около 10 с обычно дают лучшее клонирование.",
+    "param.echo_tts.reference_duration_sec.label": "Обрезка эталона (с)",
+    "param.echo_tts.seed.label": "Seed",
+    "param.echo_tts.speaker_guidance_scale.label": "Управление по голосу",
+    "param.echo_tts.text_guidance_scale.label": "Управление по тексту",
+    "param.echo_tts.truncation_factor.label": "Усечение шума",
+    "param.index_tts2.duration_factor.info": "Соответствует официальному duration_factor из IndexTTS2.5: масштабирует длительность вывода, не меняя тембр и содержание",
+    "param.index_tts2.duration_factor.label": "duration_factor (множитель длительности; >1 медленнее, <1 быстрее)",
+    "param.index_tts2.emotion_text.info": "Заполнение этого поля включает управление эмоцией.",
+    "param.index_tts2.emotion_text.label": "emotion_text (эталонный текст эмоции)",
+    "param.index_tts2.lang.info": "Действует только для моделей IndexTTS2.5 (многоязычных): auto выбирает zh, если в тексте есть иероглифы, иначе en; ja/es/ar задавайте явно",
+    "param.index_tts2.lang.label": "lang (подсказка языка, только модели IndexTTS2.5)",
+    "param.index_tts2.use_emotion_text.label": "use_emotion_text (определять по тексту)",
+    "param.irodori_tts.duration_sec.label": "duration_sec (0 = автоматически)",
+    "param.magpie_tts.voice_id.label": "voice_id (голос из пакета)",
+    "param.minimax_music3.ar_guidance_scale.info": "Управление без классификатора при сэмплировании семантических и остаточных кодов.",
+    "param.minimax_music3.ar_guidance_scale.label": "Масштаб управления AR",
+    "param.minimax_music3.guidance_scale.label": "Масштаб управления flow",
+    "param.minimax_music3.num_inference_steps.info": "Шаги Эйлера flow matching на каждое окно шумоподавления в 200 кадров.",
+    "param.minimax_music3.num_inference_steps.label": "Шаги flow на окно",
+    "param.neutts.voice_id.label": "voice_id (встроенный голос)",
+    "param.personaplex.system_prompt.placeholder": "Оставьте пустым, чтобы использовать текстовое поле как system prompt.",
+    "param.personaplex.voice_id.label": "voice_id (голос из пакета)",
+    "param.rvc.output_sample_rate.label": "output_sample_rate (0 = по умолчанию для голоса)",
+    "param.supertonic.voice.label": "voice (M = мужской, F = женский пресет)",
+    "request.autoDuration": "-1 = автоматически",
+    "request.rewriteCaption": "Переписать описание",
+    "request.rewritingCaption": "Переписывание описания...",
+    "studio.subtitle.conversion": "Преобразуйте запись в другой голос, сохраняя манеру речи или пения.",
+    "studio.subtitle.separation": "Разделяйте запись на вокал, инструменты и другие доступные аудиодорожки.",
+    "task.midi": "Аудио в MIDI",
+    "voice.configured": "Настроенные голоса"
   }
 }
diff --git a/webui/native/lang/lang_zh.json b/webui/native/lang/lang_zh.json
index 1c9ca0207..56e4cae1b 100644
--- a/webui/native/lang/lang_zh.json
+++ b/webui/native/lang/lang_zh.json
@@ -134,7 +134,6 @@
     "models.hfAccess": "需要 HF 访问权限",
     "models.model": "模型",
     "models.queued": "排队中",
-    "models.reinstall": "重新安装",
     "models.selected": "已选择",
     "models.sharedPackage": "使用上方显示的共享 {name} 软件包。",
     "models.sizeUnavailable": "大小不可用",
@@ -150,7 +149,6 @@
     "arena.title.tts": "TTS 对比",
     "arena.title.vc": "语音转换对比",
     "arena.title.asr": "ASR 对比",
-    "arena.subtitle": "用同一输入依次运行已选择的已安装模型和精度包，方便比较输出。",
     "arena.subtitle.tts": "用同一文本依次运行已选择的 TTS 模型和精度包。",
     "arena.subtitle.vc": "用同一源音频依次运行已选择的语音转换模型。",
     "arena.subtitle.asr": "用同一源音频依次运行已选择的 ASR 模型并比较转录结果。",
@@ -256,6 +254,119 @@
     "voice.recommendedClone": "建议用于克隆",
     "voice.recording": "正在录制参考音色",
     "voice.requiredClone": "此声音克隆必需",
-    "voice.transcriptPlaceholder": "输入参考音频中的准确文字，或加载上方匹配的 .txt 文件。"
+    "voice.transcriptPlaceholder": "输入参考音频中的准确文字，或加载上方匹配的 .txt 文件。",
+    "file.clear": "清除文件",
+    "file.preview": "预览",
+    "param.ace_step.audio_cover_strength.info": "1=贴近原曲，0=自由发挥；建议 0.5",
+    "param.ace_step.bpm.info": "0=不指定",
+    "param.ace_step.bpm.label": "【曲谱】BPM",
+    "param.ace_step.cover_noise_strength.info": "保旋律强度；推荐 0.1~0.25",
+    "param.ace_step.flow_edit_n_avg.info": "每步多次采样取平均（remix 默认 2）；1=最快",
+    "param.ace_step.flow_edit_n_max.info": "唱不出新歌词时降到 0.7~0.9",
+    "param.ace_step.flow_edit_n_min.info": "调大更保源曲、换词更弱",
+    "param.ace_step.keyscale.label": "【曲谱】keyscale",
+    "param.ace_step.keyscale.placeholder": "如 F major",
+    "param.ace_step.num_inference_steps.info": "扩散步数（turbo 上限 20）；remix 路由不填时默认 16，其他路由默认 8",
+    "param.ace_step.route.info": "cover/remix=换词翻唱，非 text2music 需上传源音频；详见 webui/README.md",
+    "param.ace_step.route.label": "route（操作类型）",
+    "param.ace_step.shift.info": "原版 turbo 默认 3.0；1.0 会明显劣化 remix 换词咬字",
+    "param.ace_step.shift.label": "shift（时间步弯曲）",
+    "param.ace_step.source_caption.placeholder": "源歌曲描述；『🔍 分析』自动填",
+    "param.ace_step.source_lyrics.placeholder": "源歌曲原歌词；『🔍 分析』自动填",
+    "param.ace_step.timesignature.label": "【曲谱】timesignature",
+    "param.ace_step.timesignature.placeholder": "如 4",
+    "param.chatterbox.exaggeration.info": "改动后需重新『加载模型』才生效",
+    "param.chatterbox.guidance_scale.info": "改动后需重新『加载模型』才生效",
+    "param.chatterbox.num_inference_steps.label": "num_inference_steps（生成步数）",
+    "param.chatterbox.s3gen_cfg_rate.label": "s3gen_cfg_rate（音色引导强度）",
+    "param.dramabox.audio_chunk_duration_sec.label": "audio_chunk_duration_sec（长文本分段目标时长）",
+    "param.dramabox.audio_chunk_threshold_sec.label": "audio_chunk_threshold_sec（长文本阈值）",
+    "param.dramabox.cross_fade_duration_sec.label": "cross_fade_duration_sec（分段交叉淡化）",
+    "param.dramabox.duration_scale.label": "duration_scale（自动估时倍率）",
+    "param.dramabox.duration_sec.label": "duration_sec（0=自动估时）",
+    "param.dramabox.guidance_rescale.placeholder": "auto 或数值",
+    "param.dramabox.negative_prompt.label": "negative_prompt（负向提示）",
+    "param.dramabox.negative_prompt.placeholder": "留空=模型内置质量提示",
+    "param.dramabox.reference_duration_sec.label": "reference_duration_sec（参考音频裁剪/重复秒数）",
+    "param.heartmula.infinite_mode.label": "infinite_mode（长输出分段生成）",
+    "param.heartmula.num_inference_steps.label": "num_inference_steps（codec 步数）",
+    "param.heartmula.tags.info": "风格/情绪/乐器/人声标签，模型必需",
+    "param.heartmula.tags.label": "tags（必填，逗号分隔）",
+    "param.index_tts2.duration_factor.info": "对齐官方 IndexTTS2.5 的 duration_factor：缩放输出时长，不改变音色/内容",
+    "param.index_tts2.duration_factor.label": "duration_factor（语速/时长倍率，>1 更慢，<1 更快）",
+    "param.index_tts2.emotion_alpha.label": "emotion_alpha（情感强度）",
+    "param.index_tts2.emotion_text.info": "填写后自动开启情感条件（use_emotion_text）",
+    "param.index_tts2.emotion_text.label": "emotion_text（情绪参考文本）",
+    "param.index_tts2.emotion_text.placeholder": "例：你吓死我了！你是鬼吗？",
+    "param.index_tts2.interval_silence_ms.label": "interval_silence_ms（分段间静音）",
+    "param.index_tts2.lang.info": "仅对 IndexTTS2.5（多语种）模型生效：auto 含汉字按中文，否则按英文；日/西/阿建议显式选择",
+    "param.index_tts2.lang.label": "lang（语种提示, 仅 IndexTTS2.5 模型）",
+    "param.index_tts2.use_emotion_text.label": "use_emotion_text（从朗读文本推断情感）",
+    "param.index_tts2.use_random_emotion.label": "use_random_emotion（随机情感）",
+    "param.inflect_v2.speaking_rate.label": "speaking_rate（语速倍率）",
+    "param.inflect_v2.text_chunk_size.label": "text_chunk_size（长文本分段字符数）",
+    "param.inflect_v2.variation.label": "variation（音色变化）",
+    "param.irodori_tts.duration_scale.label": "duration_scale（语速倒数，越大越慢）",
+    "param.irodori_tts.duration_sec.label": "duration_sec（0=模型自动预测时长）",
+    "param.irodori_tts.num_inference_steps.label": "num_inference_steps（RF 扩散步数）",
+    "param.magpie_tts.voice_id.label": "voice_id（打包音色）",
+    "param.miotts.best_of_n.label": "best_of_n（候选数，>1 自动开启）",
+    "param.neutts.emotion.label": "emotion（情绪）",
+    "param.neutts.voice_id.label": "voice_id（内置音色）",
+    "param.omnivoice.instruct.label": "instruct（风格/音色指令）",
+    "param.omnivoice.instruct.placeholder": "如：以轻快的语气朗读",
+    "param.personaplex.voice_id.label": "voice_id（打包音色）",
+    "param.pocket_tts.frames_after_eos.label": "frames_after_eos（-1=自动）",
+    "param.qwen3_tts.instruct.label": "instruct（仅 VoiceDesign/CustomVoice）",
+    "param.qwen3_tts.instruct.placeholder": "风格/音色指令，Base 版忽略",
+    "param.qwen3_tts.speaker.label": "speaker（仅 CustomVoice）",
+    "param.qwen3_tts.speaker.placeholder": "内置音色名，其它版忽略",
+    "param.rvc.output_sample_rate.label": "output_sample_rate（0=跟随音色）",
+    "param.rvc.retrieval_index_path.placeholder": "可选 .index 路径",
+    "param.rvc.semitone_shift.label": "semitone_shift（半音变调）",
+    "param.rvc.voice_id.label": "voice_id（打包音色）",
+    "param.rvc.voice_model_path.label": "voice_model_path（自定义 RVC .pth/.pt）",
+    "param.rvc.voice_model_path.placeholder": "留空=使用打包音色",
+    "param.seed_vc.inference_cfg_rate.label": "inference_cfg_rate（仅 v1 路径）",
+    "param.seed_vc.intelligibility_cfg_rate.label": "intelligibility_cfg_rate（仅 v2_vc）",
+    "param.seed_vc.length_adjust.label": "length_adjust（时长伸缩）",
+    "param.seed_vc.num_inference_steps.info": "CFM 扩散步数",
+    "param.seed_vc.route.info": "留空=按任务默认",
+    "param.seed_vc.route.label": "route（转换路径）",
+    "param.seed_vc.similarity_cfg_rate.label": "similarity_cfg_rate（仅 v2_vc）",
+    "param.sense_asr.enable_itn.label": "enable_itn（逆文本规范化）",
+    "param.sense_asr.keep_tags.label": "keep_tags（保留语言/情绪/事件标签）",
+    "param.stable_audio.audio_input_kind.label": "audio_input_kind（仅上传源音频时生效）",
+    "param.stable_audio.init_noise_level.label": "init_noise_level（init_audio 强度）",
+    "param.stable_audio.num_inference_steps.info": "RF 扩散步数",
+    "param.supertonic.num_inference_steps.label": "num_inference_steps（流匹配步数）",
+    "param.supertonic.speaking_rate.label": "speaking_rate（语速倍率）",
+    "param.supertonic.voice.label": "voice（预置音色：M 男声 / F 女声）",
+    "param.vevo2.num_inference_steps.info": "流匹配步数",
+    "param.vevo2.route.info": "留空=按任务默认；详见 webui/README.md",
+    "param.vevo2.route.label": "route（任务路线）",
+    "param.vevo2.temperature.info": "默认取自模型 generation_config.json",
+    "param.vevo2.temperature.label": "temperature（AR 路线用）",
+    "param.vevo2.top_k.info": "默认取自模型 generation_config.json",
+    "param.vevo2.top_k.label": "top_k（AR 路线用）",
+    "param.vevo2.top_p.label": "top_p（AR 路线用）",
+    "param.vevo2.use_pitch_shift.info": "留空=按路线默认",
+    "param.vevo2.use_pitch_shift.label": "use_pitch_shift（自动音高对齐）",
+    "param.vibevoice.guidance_scale.info": "CFG 引导强度",
+    "param.vibevoice.max_length_times.info": "最大输出长度倍数",
+    "param.vibevoice.num_inference_steps.info": "扩散步数（官方默认 10），越大越慢越稳",
+    "param.vibevoice.voice_samples.label": "voice_samples（多说话人，逗号分隔 wav，≤4）",
+    "param.vibevoice.voice_samples.placeholder": "D:/a.wav,D:/b.wav — 用此项时勿再上传参考音色",
+    "param.voxcpm1.num_inference_steps.info": "CFM/DiT 步数",
+    "param.voxcpm1.retry_badcase.label": "retry_badcase（自动重试异常输出）",
+    "param.voxcpm2.num_inference_steps.info": "CFM/DiT 步数",
+    "param.voxcpm2.retry_badcase.label": "retry_badcase（自动重试异常输出）",
+    "request.autoDuration": "-1 = 自动",
+    "request.rewriteCaption": "重写描述",
+    "request.rewritingCaption": "正在重写描述...",
+    "studio.subtitle.conversion": "将录音转换为另一种声音，同时保留原有的说话或演唱表现。",
+    "studio.subtitle.separation": "将录音分离为人声、乐器或其他可用音轨。",
+    "task.midi": "音频转 MIDI",
+    "voice.configured": "已配置音色"
   }
 }
diff --git a/webui/native/src/app.css b/webui/native/src/app.css
index df994638a..c685a3bd7 100644
--- a/webui/native/src/app.css
+++ b/webui/native/src/app.css
@@ -156,7 +156,7 @@ button:disabled { opacity: .45; cursor: not-allowed; }
 button.primary, button.run { color: var(--text-invert); background: linear-gradient(135deg, var(--cyan), #5ac7ff); border: 0; font-weight: 800; }
 .button-row button { flex: 1; }
 .studio-package-buttons { display: grid; grid-template-columns: repeat(3, minmax(0, 1fr)); gap: 5px; margin-top: 11px; }
-.studio-package-buttons button, .single-model-toggle { position: relative; min-width: 0; min-height: 38px; padding: 6px 4px; font-size: 9px; line-height: 1.15; }
+.studio-package-buttons button, .single-model-toggle { position: relative; min-width: 0; min-height: 38px; padding: 6px 4px; overflow: hidden; font-size: 9px; line-height: 1.15; overflow-wrap: anywhere; }
 .studio-package-buttons button.selected-package:not(:disabled) { border-color: var(--active-border); color: var(--cyan); box-shadow: inset 0 0 0 1px color-mix(in srgb, var(--cyan) 10%, transparent); }
 .studio-package-buttons button:disabled { color: var(--control-disabled); background: var(--panel-2); opacity: .48; }
 .studio-package-buttons button.resident, .single-model-toggle.resident { padding-right: 12px; border-color: var(--active-border); color: var(--text-strong); background: var(--active-bg); opacity: 1; }
@@ -215,6 +215,13 @@ kbd { font: 9px ui-monospace, monospace; padding: 2px 4px; border: 1px solid rgb
 .audio-list a { color: var(--cyan); text-decoration: none; }
 audio { width: 100%; height: 38px; }
 .transcript { margin-top: 14px; }
+.timed-rows { margin-top: 14px; }
+.timed-rows-scroll { max-height: 250px; overflow: auto; border: 1px solid var(--line); border-radius: 8px; margin-top: 6px; }
+.timed-rows table { width: 100%; border-collapse: collapse; font-size: 12px; }
+.timed-rows th, .timed-rows td { padding: 6px 9px; text-align: left; border-bottom: 1px solid var(--line); }
+.timed-rows th { position: sticky; top: 0; background: var(--card-bg); color: var(--muted); font-weight: 500; }
+.timed-rows td:first-child, .timed-rows td:nth-child(2) { white-space: nowrap; font-variant-numeric: tabular-nums; color: var(--text-subtle); }
+.timed-rows tr:last-child td { border-bottom: none; }
 pre { background: var(--code-bg); border: 1px solid var(--line); border-radius: 8px; padding: 10px; overflow: auto; max-height: 250px; color: var(--text-subtle); white-space: pre-wrap; overflow-wrap: anywhere; }
 
 .arena-hero { align-items: end; }
@@ -268,16 +275,22 @@ pre { background: var(--code-bg); border: 1px solid var(--line); border-radius:
 .model-actions { display: grid; gap: 6px; width: clamp(280px, 17vw, 324px); min-width: 0; }.model-actions small { text-align: right; }
 .model-actions button { padding: 7px; font-size: 11px; }
 .package-buttons { display: grid; grid-template-columns: repeat(3, minmax(76px, 1fr)); gap: 5px; }
-.package-buttons.wide-package-set { grid-template-columns: repeat(2, minmax(0, 1fr)); }
-.package-buttons.wide-package-set .package-size { line-height: 1.15; }
+/* Labels are the build only ('Turbo BF16'), so even a six-package set stays on
+   the three-column grid instead of widening to two half-width columns. */
+.package-buttons.wide-package-set { grid-template-columns: repeat(3, minmax(0, 1fr)); }
 .package-buttons:has(> .package-choice:only-child) { grid-template-columns: minmax(0, 1fr); }
 .package-buttons:has(> .package-choice:nth-child(2):last-child) { grid-template-columns: repeat(2, minmax(0, 1fr)); }
-.package-choice { position: relative; height: 48px; min-width: 0; }
-.package-install { display: flex; width: 100%; height: 48px; min-width: 0; min-height: 0; padding-top: 4px; padding-bottom: 4px; flex-direction: column; align-items: center; justify-content: center; gap: 2px; white-space: nowrap; }
-.package-install > span:first-child { line-height: 1.1; }
+.package-choice { position: relative; height: 56px; min-width: 0; }
+.package-install { display: flex; width: 100%; height: 56px; min-width: 0; min-height: 0; padding: 4px 6px; flex-direction: column; align-items: center; justify-content: center; gap: 2px; overflow: hidden; text-align: center; }
+/* Both lines clamp instead of overflowing: the package label falls back to the
+   full model name when the short build name would be ambiguous, and the size
+   line carries a status as well as the byte count. */
+.package-install > span { display: -webkit-box; max-width: 100%; overflow: hidden; -webkit-box-orient: vertical; -webkit-line-clamp: 2; line-clamp: 2; overflow-wrap: anywhere; }
+.package-install > span:first-child { line-height: 1.15; }
 .package-install.preferred { border-color: var(--active-border); color: var(--cyan); box-shadow: inset 0 0 0 1px rgba(66,232,213,.1); }
-.package-install.downloaded { padding-right: 23px; border-color: var(--button-hover-border); background: color-mix(in srgb, var(--button-bg) 80%, white 20%); color: var(--blue); white-space: normal; }
-.package-install.downloaded > span:first-child { white-space: nowrap; }
+.package-install.downloaded { padding-right: 23px; border-color: var(--button-hover-border); background: color-mix(in srgb, var(--button-bg) 80%, white 20%); color: var(--blue); }
+/* Keep the label clear of the corner badges that overlay the button. */
+.package-choice:has(.package-update) .package-install { padding-left: 26px; }
 .package-install.downloaded:hover:not(:disabled) { border-color: var(--button-hover-border); background: color-mix(in srgb, var(--button-hover-bg) 76%, white 24%); }
 .package-install.downloaded.preferred { border-color: var(--active-border); color: var(--cyan); box-shadow: inset 0 0 0 1px rgba(66,232,213,.16); }
 .model-actions .package-delete { position: absolute; top: 3px; right: 3px; z-index: 1; display: grid; width: 18px; height: 18px; min-height: 0; padding: 2px; place-items: center; border-color: transparent; background: transparent; color: var(--muted); }
@@ -285,7 +298,10 @@ pre { background: var(--code-bg); border: 1px solid var(--line); border-radius:
 .package-delete svg { width: 12px; height: 12px; fill: currentColor; }
 .model-actions .package-update { position: absolute; top: 3px; left: 3px; z-index: 1; width: auto; min-height: 18px; padding: 2px 4px; border-color: rgba(66,232,213,.3); background: var(--active-bg); color: var(--cyan); font-size: 7px; }
 .shared-package-note { padding: 7px 9px; border: 1px dashed var(--line); border-radius: 7px; color: var(--muted); font-size: 9px; text-align: center; }
-.package-size { color: var(--muted); font-size: 8px; font-weight: 500; letter-spacing: 0; text-transform: none; }
+.package-size { color: var(--muted); font-size: 8px; font-weight: 500; line-height: 1.2; letter-spacing: 0; text-transform: none; }
+/* The size line carries a status word as well as the byte count, so it gets a
+   line more than the label above it. */
+.package-install > span.package-size { -webkit-line-clamp: 3; line-clamp: 3; }
 .install-progress { grid-column: 1/-1; width: 100%; min-width: 0; max-width: 100%; }
 .install-progress-head { display: flex; justify-content: space-between; gap: 8px; color: var(--muted); font-size: 9px; }
 .install-progress-head strong { color: var(--blue); text-transform: uppercase; }.install-progress.complete .install-progress-head strong, .install-progress.cleaned .install-progress-head strong { color: var(--cyan); }.install-progress.failed .install-progress-head strong, .install-progress.cancelled .install-progress-head strong { color: var(--danger); }
diff --git a/webui/native/src/lib/catalog.ts b/webui/native/src/lib/catalog.ts
index baaf51af4..2fbb8a11e 100644
--- a/webui/native/src/lib/catalog.ts
+++ b/webui/native/src/lib/catalog.ts
@@ -1,6 +1,11 @@
 import rawCatalog from '../../../configs/models_catalog.json';
 import rawParams from '../../../configs/model_params.json';
-import type { CatalogEntry, InstallPackageChoice, ParamSpec } from './types';
+import type {
+  CatalogEntry,
+  InstallPackageChoice,
+  InstallPackageSlot,
+  ParamSpec
+} from './types';
 
 interface PackageEntry {
   family: string;
@@ -23,6 +28,7 @@ interface PackageSpec {
   ui?: {
     builtin_voices?: string[];
     default_voice?: string;
+    recommended_package?: string;
   };
 }
 
@@ -39,14 +45,15 @@ const packages: PackageEntry[] = Object.values(specModules).flatMap((spec) =>
 );
 
 const specsByFamily = new Map(Object.values(specModules).map((spec) => [spec.family, spec]));
-const exposeAllGgufPackageFamilies = new Set([
-  'audiosr',
-  'controlfoley',
-  'firered_audio',
-  'fireredtts3',
-  'meanvc2',
-  'midashenglm_gen'
-]);
+
+// Package ids carry a trailing format/precision tag. Stripping it yields the
+// "stem" that identifies the model itself, so a catalog download id written
+// before (or after) a requantisation can still be matched to its package. Keep
+// longer tags ahead of their prefixes (`q8_0` before `q8`, `q4_0` before `q4`)
+// so the alternation strips the whole tag. This list is the single source of
+// truth for suffix stripping anywhere in this module.
+const packageIdSuffix =
+  /_(?:q2_k|q3_k|q4_0|q4_k|q4|q5_0|q5_k|q6_k|q8_0|q8|f16|fp16|bf16|f32|safetensors|orig)$/i;
 
 const hanCharacters = /[\u3400-\u4dbf\u4e00-\u9fff\uf900-\ufaff]/u;
 
@@ -70,81 +77,103 @@ const cleanPath = (value: string) => value
 
 const cleanId = (value: string) => value.toLowerCase().replace(/[^a-z0-9]/g, '');
 
-function preferredPackage(entries: PackageEntry[]): PackageEntry | undefined {
-  return entries.find((entry) => entry.default) ||
+// The id that identifies the model behind a package, independent of how that
+// package was quantised.
+const packageIdStem = (value: string) => cleanId(value.replace(packageIdSuffix, ''));
+
+const isGguf = (entry: PackageEntry) => entry.format === 'gguf';
+
+const familyPackages = (family: string) =>
+  packages.filter((candidate) => candidate.family === family);
+
+const recommendedPackageId = (family: string) =>
+  specsByFamily.get(family)?.ui?.recommended_package;
+
+// Picks one package out of a candidate set. `ui.recommended_package` is the
+// spec's own answer to "which build should a new user get", so it outranks the
+// structural fallbacks; `default` and q8_0 remain for candidate sets that do
+// not contain the recommendation (a second model in the same family).
+function preferredPackage(entries: PackageEntry[], recommended?: string): PackageEntry | undefined {
+  return (recommended ? entries.find((entry) => entry.id === recommended) : undefined) ||
+    entries.find((entry) => entry.default) ||
     entries.find((entry) => entry.precision === 'q8_0') ||
     entries[0];
 }
 
-function relatedPackages(entry: CatalogEntry): PackageEntry[] {
-  const family = packages.filter((candidate) => candidate.family === entry.family);
-  if (!family.length) return [];
-  if (entry.family === 'ace_step' || entry.family === 'minimax_music3') return family;
-  if (!entry.download_id) return family;
-  const exact = family.find((candidate) => candidate.id === entry.download_id);
-  if (exact) {
-    const stem = exact.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i, '');
-    const matches = family.filter((candidate) =>
-      candidate.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i, '') === stem);
-    return matches.length ? matches : [exact];
-  }
+// Resolves the single package a catalog entry points at. Precedence, most
+// specific first:
+//   1. an exact package id — the catalog names the package outright;
+//   2. the same id stem — the catalog names the model but a stale (or absent)
+//      precision tag, e.g. `omnivoice` -> `omnivoice_q8_0`. Stems are compared
+//      for equality rather than by prefix on purpose: a prefix test makes
+//      `index_tts2` swallow the separate `index_tts2_5_*` model;
+//   3. a GGUF package installing into the catalog `path`. Restricted to GGUF
+//      because a legacy path such as models/pocket-tts names the upstream
+//      Safetensors drop, not the GGUF build the entry actually wants;
+//   4. the family's `ui.recommended_package`, for entries whose download id is
+//      a bare family name that never matched a package;
+//   5. anything GGUF in the family, so a not-yet-migrated entry still resolves.
+// Steps 3-5 exist only for catalog entries that have not been migrated to real
+// package ids; steps 1-2 cover every migrated entry.
+function resolvedPackage(entry: CatalogEntry): PackageEntry | undefined {
+  const family = familyPackages(entry.family);
+  if (!family.length) return undefined;
+  const recommended = recommendedPackageId(entry.family);
+  if (entry.download_id) {
+    const exact = family.find((candidate) => candidate.id === entry.download_id);
+    if (exact) return exact;
 
-  // Resolve a legacy family/variant id before considering its old target
-  // directory. A directory such as models/pocket-tts may identify the gated
-  // upstream safetensors package, while the family default is the public GGUF
-  // package intended by the catalog's generic `pocket_tts` download id.
-  const legacyId = cleanId(entry.download_id);
-  const legacyMatches = family.filter((candidate) => {
-    const currentId = cleanId(candidate.id);
-    return currentId.startsWith(legacyId) || legacyId.startsWith(currentId);
-  });
-  if (legacyMatches.length) return legacyMatches;
-
-  const target = cleanPath(entry.path);
-  const targetMatches = family.filter((candidate) => cleanPath(candidate.target_directory) === target);
-  if (targetMatches.length) {
-    const stems = new Set(targetMatches.map((candidate) =>
-      candidate.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i, '')));
-    const matches = family.filter((candidate) => stems.has(
-      candidate.id.replace(/_(?:q8_0|q8|f16|fp16|bf16|safetensors|orig)$/i, '')));
-    return matches.length ? matches : targetMatches;
+    const stem = packageIdStem(entry.download_id);
+    const stemMatches = family.filter((candidate) => packageIdStem(candidate.id) === stem);
+    if (stemMatches.length) {
+      return preferredPackage(stemMatches.filter(isGguf), recommended) ||
+        preferredPackage(stemMatches, recommended);
+    }
+
+    const target = cleanPath(entry.path);
+    const targetMatches = family.filter((candidate) =>
+      isGguf(candidate) && cleanPath(candidate.target_directory) === target);
+    if (targetMatches.length) return preferredPackage(targetMatches, recommended);
   }
-  return family;
+  const recommendedMatch = recommended
+    ? family.find((candidate) => candidate.id === recommended)
+    : undefined;
+  if (recommendedMatch) return recommendedMatch;
+  return preferredPackage(family.filter(isGguf), recommended) ||
+    preferredPackage(family, recommended);
 }
 
-function relatedExposeAllGgufPackages(entry: CatalogEntry): PackageEntry[] {
-  const family = packages.filter((candidate) =>
-    candidate.family === entry.family && candidate.format === 'gguf');
-  if (!family.length) return [];
-  if (!entry.download_id) return family;
-  const exact = family.find((candidate) => candidate.id === entry.download_id);
-  if (!exact) return relatedPackages(entry);
-  const matches = family.filter((candidate) => candidate.target_directory === exact.target_directory);
-  return matches.length ? matches : [exact];
+// Packages that are precision variants of one model share a target directory;
+// packages that are different models install into different ones. Grouping on
+// that field is what the old hand-maintained family allowlist was approximating.
+function relatedPackages(entry: CatalogEntry): PackageEntry[] {
+  const resolved = resolvedPackage(entry);
+  if (!resolved) return [];
+  return familyPackages(entry.family).filter((candidate) =>
+    candidate.target_directory === resolved.target_directory);
 }
 
+// Every quantised precision, kept in step with the tags in `packageIdSuffix` so
+// a newly published quantisation sorts with its peers instead of falling
+// through to the unknown bucket behind `orig`.
+const quantisedPrecisions = [
+  'q2_k', 'q3_k', 'q4', 'q4_0', 'q4_k', 'q5_0', 'q5_k', 'q6_k', 'q8_0', 'q8'
+];
+
 function exposedPackageRank(entry: PackageEntry, selectedId?: string): number {
   if (selectedId && entry.id === selectedId) return 0;
   if (entry.default) return 1;
-  if (['q4_k', 'q4_0', 'q8_0', 'q8'].includes(entry.precision)) return 2;
+  if (quantisedPrecisions.includes(entry.precision)) return 2;
   if (['f16', 'fp16', 'bf16'].includes(entry.precision)) return 3;
   if (entry.precision === 'f32') return 4;
   if (entry.precision === 'orig') return 5;
   return 6;
 }
 
-function packageLabel(entry: PackageEntry): string {
-  if (entry.family === 'ace_step') {
-    const precision = entry.precision === 'bf16'
-      ? 'BF16'
-      : ['q8_0', 'q8'].includes(entry.precision)
-        ? 'Q8'
-        : entry.precision.toUpperCase();
-    if (entry.id.includes('_xl_turbo_')) return `GGUF Turbo XL ${precision}`;
-    if (entry.id.includes('_xl_sft_')) return `GGUF Turbo XL SFT ${precision}`;
-    if (entry.id.includes('_turbo_')) return `GGUF Turbo ${precision}`;
-    return `GGUF ${precision}`;
-  }
+// Derived label, used only when a package has no display_name. It describes the
+// build, not the model, so it cannot tell two models in one target directory
+// apart — see packageLabel.
+function derivedPackageLabel(entry: PackageEntry): string {
   if (entry.format === 'safetensors') return 'Safetensors';
   if (entry.id.includes('int8_dit')) return 'GGUF Q4 ConvRot';
   if (entry.precision === 'q4_k' || entry.precision === 'q4_0') return 'GGUF Q4';
@@ -154,6 +183,14 @@ function packageLabel(entry: PackageEntry): string {
   return `GGUF ${entry.precision.toUpperCase()}`;
 }
 
+// display_name is unique per package and already distinguishes both the model
+// and its precision ("ACE-Step 1.5 XL Turbo BF16 GGUF"), which the derived
+// label cannot: a target directory may hold several distinct models, and those
+// would otherwise all render as "GGUF Q8".
+function packageLabel(entry: PackageEntry): string {
+  return englishUiText(entry.display_name) || derivedPackageLabel(entry);
+}
+
 function packageModelPath(entry: PackageEntry): string {
   let modelFile: string | undefined;
   if (entry.format === 'gguf' && entry.family === 'minimax_h3') {
@@ -199,60 +236,97 @@ function packageSessionOptions(entry: PackageEntry): Record<string, string> | un
   return undefined;
 }
 
+// The build alone, without the model name or the "GGUF" every exposed package
+// shares. Install buttons are around 90px wide, so the full display_name
+// overflowed them; the precision is what actually distinguishes the buttons.
+function shortPackageLabel(entry: PackageEntry): string {
+  if (entry.format !== 'gguf') return derivedPackageLabel(entry);
+  const precision = entry.precision === 'orig' ? 'Original' : entry.precision.toUpperCase();
+  return entry.id.includes('int8_dit') ? `${precision} ConvRot` : precision;
+}
+
+const installChoice = (candidate: PackageEntry, shortLabel: string): InstallPackageChoice => ({
+  id: candidate.id,
+  label: packageLabel(candidate),
+  short_label: shortLabel,
+  path: packageModelPath(candidate),
+  format: candidate.format,
+  precision: candidate.precision,
+  session_options: packageSessionOptions(candidate)
+});
+
 function installChoices(entry: CatalogEntry): InstallPackageChoice[] {
-  const exposesAllGguf = exposeAllGgufPackageFamilies.has(entry.family);
-  const related = exposesAllGguf ? relatedExposeAllGgufPackages(entry) : relatedPackages(entry);
-  if (entry.family === 'ace_step' || entry.family === 'minimax_music3' ||
-      exposesAllGguf) {
-    return related
-      .filter((candidate) => candidate.format === 'gguf')
-      .sort((left, right) => exposesAllGguf
-        ? exposedPackageRank(left, entry.download_id) - exposedPackageRank(right, entry.download_id)
-        : Number(right.default === true) - Number(left.default === true))
-      .map((candidate) => ({
-        id: candidate.id,
-        label: packageLabel(candidate),
-        path: packageModelPath(candidate),
-        format: candidate.format,
-        precision: candidate.precision,
-        session_options: packageSessionOptions(candidate)
-      }));
-  }
-  const q8 = preferredPackage(related.filter((candidate) =>
-    candidate.format === 'gguf' && ['q8_0', 'q8'].includes(candidate.precision)));
-  const fp16 = preferredPackage(related.filter((candidate) =>
-    candidate.format === 'gguf' && ['f16', 'fp16'].includes(candidate.precision))) ||
-    preferredPackage(related.filter((candidate) =>
-      candidate.format === 'gguf' && candidate.precision === 'bf16'));
-  const otherGguf = !q8 && !fp16
-    ? related.filter((candidate) => candidate.format === 'gguf')
-    : [];
   // The native model manager intentionally exposes complete GGUF packages
   // only. Safetensors packages frequently depend on source-tree sidecars and
-  // are not yet reliable as one-click UI installs.
-  return [q8, fp16, ...otherGguf]
-    .filter((candidate): candidate is PackageEntry => candidate !== undefined)
-    .map((candidate) => ({
-      id: candidate.id,
-      label: packageLabel(candidate),
-      path: packageModelPath(candidate),
-      format: candidate.format,
-      precision: candidate.precision,
-      session_options: packageSessionOptions(candidate)
-    }));
+  // are not yet reliable as one-click UI installs. Every other build of the
+  // resolved model is offered: they share a target directory, so switching
+  // between them is a requantisation rather than a different model.
+  const exposed = relatedPackages(entry).filter(isGguf);
+  if (!exposed.length) return [];
+  // An entry that names a package explicitly gets that package, even when the
+  // family recommends another build of it: the catalog id is the per-entry
+  // decision (a deliberate low-VRAM pick, say) and the recommendation is only
+  // the family-wide default for entries that express no preference.
+  const explicit = exposed.find((candidate) => candidate.id === entry.download_id);
+  const selected = explicit || preferredPackage(exposed, recommendedPackageId(entry.family));
+  const ordered = exposed
+    .slice()
+    .sort((left, right) =>
+      exposedPackageRank(left, selected?.id) - exposedPackageRank(right, selected?.id));
+  // Two distinct models can share a target directory, and the short label
+  // describes the build only, so it cannot tell those apart. Keep the full
+  // display_name on every button of such a set rather than render one
+  // ambiguous button.
+  const labels = distinctLabels(ordered.map(shortPackageLabel)) ||
+    distinctLabels(trimmedPackageLabels(ordered.map(packageLabel))) ||
+    ordered.map(packageLabel);
+  return ordered.map((candidate, index) => installChoice(candidate, labels[index]));
+}
+
+function distinctLabels(labels: string[]): string[] | undefined {
+  const seen = new Set(labels.map((value) => value.toLowerCase()));
+  return seen.size === labels.length && labels.every(Boolean) ? labels : undefined;
+}
+
+// Second try when precisions alone collide, which happens when one target
+// directory holds several models ("ACE-Step 1.5 Turbo BF16 GGUF" beside
+// "ACE-Step 1.5 XL SFT BF16 GGUF"). Drop the leading words every package of the
+// set shares and the trailing format word, leaving what actually differs.
+function trimmedPackageLabels(labels: string[]): string[] {
+  if (labels.length < 2) return labels;
+  const words = labels.map((label) => label.split(' ').filter(Boolean));
+  let shared = 0;
+  while (words.every((entry) => shared < entry.length - 1 && entry[shared] === words[0][shared])) {
+    shared++;
+  }
+  return words.map((entry) => {
+    const rest = entry.slice(shared);
+    if (rest.length > 1 && rest[rest.length - 1].toLowerCase() === 'gguf') rest.pop();
+    return rest.join(' ');
+  });
+}
+
+// Why a managed entry ended up with no installable package. Returned as display
+// text so the entry can stay listed instead of vanishing from the whole UI.
+function unavailableReason(entry: CatalogEntry): string {
+  const family = familyPackages(entry.family);
+  if (!family.length) {
+    return `No model_specs package definition for family "${entry.family}".`;
+  }
+  return 'Only Safetensors packages are published for this model. The native ' +
+    'model manager installs GGUF packages only.';
 }
 
-export const catalog = (rawCatalog.models as CatalogEntry[]).flatMap((entry) => {
+export const catalog = (rawCatalog.models as CatalogEntry[]).map((entry) => {
   const choices = installChoices(entry);
   // A managed catalog entry with no remaining GGUF choice is Safetensors-only
-  // (or otherwise not installable by the native manager). Do not expose it as
-  // an apparently available Studio model after Safetensors UI support is
-  // disabled. Entries without a download id are bundled or locally managed
-  // and must remain visible.
-  if (entry.download_id && choices.length === 0) return [];
+  // (or has no spec yet). Keep it listed and flag it: dropping it here made a
+  // packaging gap look like the model had never existed. Entries without a
+  // download id are bundled or locally managed and are never flagged.
+  const unavailable = Boolean(entry.download_id) && choices.length === 0;
   const installPackage = choices[0];
   const spec = specsByFamily.get(entry.family);
-  return [{
+  return {
     ...entry,
     display_name: englishUiText(entry.display_name_en, entry.display_name) || entry.id,
     input_hint: englishUiText(entry.input_hint_en, entry.input_hint),
@@ -264,10 +338,24 @@ export const catalog = (rawCatalog.models as CatalogEntry[]).flatMap((entry) =>
       ?.filter((option) => option.required === true)
       .map((option) => option.name),
     builtin_voices: spec?.ui?.builtin_voices,
-    default_voice: spec?.ui?.default_voice
-  }];
+    default_voice: spec?.ui?.default_voice,
+    unavailable: unavailable || undefined,
+    unavailable_reason: unavailable ? unavailableReason(entry) : undefined
+  };
 });
 
+// The install buttons an entry renders. Every exposed package gets its own
+// slot: catalog.ts already decided which packages belong together, so the UI
+// must not re-derive that from family names or collapse the list to fixed
+// q8/fp16 slots.
+export function installPackageSlots(entry: CatalogEntry): InstallPackageSlot[] {
+  return (entry.install_packages || []).map((choice) => ({
+    key: choice.id,
+    label: choice.short_label,
+    choice
+  }));
+}
+
 export const parameterCatalog = Object.fromEntries(
   Object.entries(rawParams as unknown as Record<string, ParamSpec[] | string>)
     .filter((entry): entry is [string, ParamSpec[]] => Array.isArray(entry[1]))
diff --git a/webui/native/src/lib/i18n.ts b/webui/native/src/lib/i18n.ts
index 5a37eef69..f2da739ff 100644
--- a/webui/native/src/lib/i18n.ts
+++ b/webui/native/src/lib/i18n.ts
@@ -122,6 +122,11 @@ const english: Record<string, string> = {
   'studio.subtitle.music': 'Create music and sound from a prompt, lyrics, or reference audio when supported.',
   'studio.subtitle.vc': 'Transform a recording into another voice while preserving the spoken or sung performance.',
   'studio.subtitle.sep': 'Split a recording into vocals, instruments, or other available audio stems.',
+  // The workflow tabs are keyed 'conversion' and 'separation' while the task
+  // labels above use 'vc' and 'sep'. Both spellings resolve so the hero subtitle
+  // renders text rather than the lookup key itself.
+  'studio.subtitle.conversion': 'Transform a recording into another voice while preserving the spoken or sung performance.',
+  'studio.subtitle.separation': 'Split a recording into vocals, instruments, or other available audio stems.',
   'studio.subtitle.analysis': 'Analyze audio for speech activity, speakers, timing, and alignment.',
   'studio.subtitle.design': 'Create or refine a voice from a written description and supported reference controls.',
   'studio.model': 'Model',
@@ -227,6 +232,15 @@ const english: Record<string, string> = {
   'result.tracks': 'tracks',
   'result.saveWav': 'Save WAV',
   'result.empty': 'Generated audio and structured results appear here.',
+  'result.rows.segments': 'Segments',
+  'result.rows.words': 'Word timings',
+  'result.rows.speaker_turns': 'Speaker turns',
+  'result.saveSrt': 'Save SRT',
+  'result.saveVtt': 'Save VTT',
+  'result.start': 'Start',
+  'result.end': 'End',
+  'result.speaker': 'Speaker',
+  'result.content': 'Content',
   'models.eyebrow': 'MODEL LIBRARY',
   'models.title': 'Local packages',
   'models.subtitle': 'Download and manage model packages without leaving the native interface.',
diff --git a/webui/native/src/lib/types.ts b/webui/native/src/lib/types.ts
index 061ef0977..799965ae4 100644
--- a/webui/native/src/lib/types.ts
+++ b/webui/native/src/lib/types.ts
@@ -3,12 +3,26 @@ export type StringMap = Record<string, string>;
 export interface InstallPackageChoice {
   id: string;
   label: string;
+  // Button text. `label` names the model as well as the build ("IndexTTS2.5
+  // Original-Dtype GGUF"), which is wider than an install button; the model
+  // name is already printed beside the buttons, so the short form keeps the
+  // build only. It falls back to `label` when that would not be unique.
+  short_label: string;
   path: string;
   format: string;
   precision: string;
   session_options?: StringMap;
 }
 
+// One rendered install button. The catalog decides which packages an entry
+// exposes, so the UI renders every slot it is given rather than re-deriving the
+// set from family names.
+export interface InstallPackageSlot {
+  key: string;
+  label: string;
+  choice: InstallPackageChoice;
+}
+
 export interface CatalogEntry {
   id: string;
   display_name: string;
@@ -29,6 +43,11 @@ export interface CatalogEntry {
   required_request_options?: string[];
   builtin_voices?: string[];
   default_voice?: string;
+  // Set when a managed entry resolves to no installable package. The entry is
+  // still listed so the gap is visible instead of the model disappearing from
+  // the UI; `unavailable_reason` explains why it cannot be installed.
+  unavailable?: boolean;
+  unavailable_reason?: string;
 }
 
 export interface ParamSpec {
diff --git a/webui/native/src/routes/+page.svelte b/webui/native/src/routes/+page.svelte
index 777984830..ec0a47ca5 100644
--- a/webui/native/src/routes/+page.svelte
+++ b/webui/native/src/routes/+page.svelte
@@ -29,7 +29,7 @@
     type ModelPackageSize,
     type DirectoryBrowserResponse
   } from '$lib/api';
-  import { catalog, parameterCatalog, taskLabels } from '$lib/catalog';
+  import { catalog, installPackageSlots, parameterCatalog, taskLabels } from '$lib/catalog';
   import { createTranslator, resolveUiLanguage, uiLanguages } from '$lib/i18n';
   import MediaPreview from '$lib/MediaPreview.svelte';
   import { defaultChunkBudget, splitTtsChunks } from '$lib/text';
@@ -72,8 +72,12 @@
   let instructions = '';
   let lyrics = '';
   let duration = 30;
-  let seed = 1234;
-      let maxTokens = 1024;
+  // -1 means "let the engine pick", matching the field label. A fixed default
+  // here would silently pin every model whose own default is a random seed.
+  let seed = -1;
+  // Blank means "use the model's own limit". A shared constant here overrode
+  // per-model ceilings ranging from 300 to 4096, halving some and doubling others.
+  let maxTokens: number | '' = '';
       let sourceFile: File | null = null;
       let videoFile: File | null = null;
       let voiceFile: File | null = null;
@@ -91,6 +95,11 @@
   let outputArtifacts: Array<{ id: string; url: string; extension: string }> = [];
   let outputText = '';
   let outputJson = '';
+  // Timed detail rows returned by ASR, diarization, VAD and forced alignment.
+  // Spans arrive as sample offsets alongside the rate they were counted in.
+  type TimedRow = { start: number; end: number; label: string; text: string; confidence: number };
+  let outputRows: TimedRow[] = [];
+  let outputRowKind = '';
   let logs: string[] = [];
   let aborter: AbortController | null = null;
   let longText = true;
@@ -142,14 +151,6 @@
     demo_3_woman: 'demo_3_woman',
     demo_4_woman: 'demo_4_woman'
   };
-  const exposeAllStudioPackageFamilies = new Set([
-    'audiosr',
-    'controlfoley',
-    'firered_audio',
-    'fireredtts3',
-    'meanvc2',
-    'midashenglm_gen'
-  ]);
 
   function chooseUiLanguage(code: string) {
     uiLanguage = resolveUiLanguage([code]);
@@ -402,18 +403,30 @@
   $: usesVibeVoiceSpeakerFiles = selected?.family === 'vibevoice';
   $: isQwenBase = selected?.task === 'tts' && selected?.family === 'qwen3_tts' &&
     !selected?.id.includes('custom');
-  $: allowsQuickStartVoice = ['tts', 'clon'].includes(selected?.task);
+  // Voice design also picks a named voice, and any model shipping built-in
+  // voices should offer them whatever its task.
+  $: allowsQuickStartVoice = ['tts', 'clon', 'vdes'].includes(selected?.task) ||
+    (selected?.builtin_voices || []).length > 0;
   $: referenceVoiceRequired = !(allowsQuickStartVoice && quickStartVoice) && (
     (['clon', 'vc', 'svc'].includes(selected?.task) && selected?.family !== 'rvc') || isQwenBase);
   $: lyricsRequired = requiresRequestOption(selected, 'lyrics');
   $: referenceTextRequired = requiresRequestOption(selected, 'reference_text') ||
     (Boolean(voiceFile) && isQwenBase);
-  $: quickStartVoices = server && !server.ui_management
-    ? configuredVoices
+  // Voices come from three places: the spec's built-in list, whatever the server
+  // reports for this model, and the bundled demo clips. The demo clips only make
+  // sense for models that take an arbitrary reference.
+  $: demoQuickStartVoices = server && !server.ui_management
+    ? []
     : Object.entries(demoVoiceSources)
       .filter(([, source]) => bundledVoices.includes(source))
       .map(([voice]) => voice);
-  $: quickStartVoicePreview = quickStartVoice && server?.ui_management !== false
+  $: quickStartVoices = Array.from(new Set([
+    ...(selected?.builtin_voices || []),
+    ...configuredVoices,
+    ...demoQuickStartVoices
+  ]));
+  $: quickStartVoicePreview = quickStartVoice && server?.ui_management !== false &&
+    demoQuickStartVoices.includes(quickStartVoice)
     ? voicePreviewUrl(demoVoiceSources[quickStartVoice] || quickStartVoice)
     : '';
   $: showsText = ['tts', 'clon', 'gen', 's2s', 'align', 'vdes'].includes(selected?.task);
@@ -518,32 +531,7 @@
     return packageIsResident(entry, choice, models) || sizes[choice.id]?.installed === true;
   }
 
-  function studioPackageSlots(entry: CatalogEntry) {
-    const choices = entry.install_packages || [];
-    if (entry.family === 'ace_step' || entry.family === 'minimax_music3' ||
-        exposeAllStudioPackageFamilies.has(entry.family)) {
-      return choices.map((choice) => ({ key: choice.id, label: choice.label, choice }));
-    }
-    const q8 = choices.find((choice) => choice.format === 'gguf' &&
-      ['q8', 'q8_0'].includes(choice.precision));
-    const fp16 = choices.find((choice) => choice.format === 'gguf' &&
-      ['f16', 'fp16', 'bf16'].includes(choice.precision));
-    if (!q8 && !fp16) {
-      return choices.map((choice) => ({ key: choice.id, label: choice.label, choice }));
-    }
-    return [
-      {
-        key: 'q8',
-        label: q8?.label || 'GGUF Q8',
-        choice: q8
-      },
-      {
-        key: 'fp16',
-        label: fp16?.label || 'GGUF FP16',
-        choice: fp16
-      },
-    ];
-  }
+  const studioPackageSlots = installPackageSlots;
 
   function resolveRequestSeed(value: number) {
     if (!Number.isInteger(value) || value < -1 || value > 0xffffffff) {
@@ -705,6 +693,62 @@
     return ['tts', 'clon', 'gen', 's2s', 'vdes'].includes(entry.task);
   }
 
+  // Seed has a dedicated input rather than a parameter widget, so the tasks
+  // that never declared it could not be made reproducible at all. Trust the
+  // spec where one exists; fall back to the historical task list otherwise.
+  function timedRowsFromResult(result: Record<string, unknown>): { rows: TimedRow[]; kind: string } {
+    const rate = Number(result.sample_rate) || 0;
+    const toSeconds = (samples: unknown) => (rate > 0 ? Number(samples) / rate : Number.NaN);
+    const read = (value: unknown, label: (entry: Record<string, unknown>) => string) =>
+      (Array.isArray(value) ? value : []).map((entry: Record<string, unknown>) => ({
+        start: toSeconds(entry.start_sample),
+        end: toSeconds(entry.end_sample),
+        label: label(entry),
+        text: typeof entry.text === 'string' ? entry.text : '',
+        confidence: Number(entry.confidence) || 0
+      }));
+    const turns = read(result.speaker_turns, (entry) => String(entry.speaker_id ?? ''));
+    if (turns.length) return { rows: turns, kind: 'speaker_turns' };
+    const words = read(result.words, (entry) => String(entry.word ?? ''));
+    if (words.length) return { rows: words, kind: 'words' };
+    return { rows: read(result.segments, () => ''), kind: 'segments' };
+  }
+
+  function formatTimecode(seconds: number, millisecondSeparator: string) {
+    if (!Number.isFinite(seconds) || seconds < 0) seconds = 0;
+    const whole = Math.floor(seconds);
+    const milliseconds = Math.round((seconds - whole) * 1000);
+    const pad = (value: number, width = 2) => String(value).padStart(width, '0');
+    return `${pad(Math.floor(whole / 3600))}:${pad(Math.floor(whole / 60) % 60)}:${pad(whole % 60)}` +
+      `${millisecondSeparator}${pad(milliseconds, 3)}`;
+  }
+
+  function subtitleText(rows: TimedRow[], format: 'srt' | 'vtt') {
+    const separator = format === 'srt' ? ',' : '.';
+    const cues = rows.map((row, index) => {
+      const caption = [row.label, row.text].filter(Boolean).join(': ') || `#${index + 1}`;
+      const timing =
+        `${formatTimecode(row.start, separator)} --> ${formatTimecode(row.end, separator)}`;
+      return format === 'srt' ? `${index + 1}\n${timing}\n${caption}\n` : `${timing}\n${caption}\n`;
+    });
+    return (format === 'vtt' ? 'WEBVTT\n\n' : '') + cues.join('\n');
+  }
+
+  function downloadSubtitles(format: 'srt' | 'vtt') {
+    if (!outputRows.length || !selected) return;
+    const blob = new Blob([subtitleText(outputRows, format)], { type: 'text/plain;charset=utf-8' });
+    const url = URL.createObjectURL(blob);
+    const anchor = document.createElement('a');
+    anchor.href = url;
+    anchor.download = `${selected.id}-transcript.${format}`;
+    anchor.click();
+    URL.revokeObjectURL(url);
+  }
+
+  function supportsSeed(entry: CatalogEntry) {
+    return entry.request_options?.includes('seed') === true;
+  }
+
   function supportsRequestOption(entry: CatalogEntry, option: string) {
     // Specs that publish request metadata are authoritative. Older specs
     // without that metadata keep the legacy UI behavior until migrated.
@@ -735,10 +779,13 @@
     job: ModelInstallJob | undefined,
     translate = tr
   ) {
-    if (job?.state === 'running') return `${choice.label}…`;
-    if (job?.state === 'queued') return `${choice.label} ${translate('models.queued')}`;
-    if (job?.state === 'cancelling') return `${choice.label} ${translate('models.stopping')}`;
-    return choice.label;
+    // short_label, not label: the model name is already printed beside the
+    // buttons and would not fit inside one. The full name stays on the title
+    // and aria-label.
+    if (job?.state === 'running') return `${choice.short_label}…`;
+    if (job?.state === 'queued') return `${choice.short_label} ${translate('models.queued')}`;
+    if (job?.state === 'cancelling') return `${choice.short_label} ${translate('models.stopping')}`;
+    return choice.short_label;
   }
 
   function packageSizeLabel(
@@ -751,8 +798,10 @@
       ? formatBytes(size.size_bytes)
       : '';
     if (size?.installed) {
-      const version = packageVersionLabel(size, translate);
-      return `${selected ? translate('models.selected') : translate('models.downloaded')}${version ? ` · ${version}` : ''}${bytes ? ` · ${bytes}` : ''}`;
+      // The version state lives on the button title now: an update has its own
+      // corner badge, the other states are not actionable, and the three-part
+      // line did not fit the button.
+      return `${selected ? translate('models.selected') : translate('models.downloaded')}${bytes ? ` · ${bytes}` : ''}`;
     }
     if (bytes) return bytes;
     if (size?.state === 'pending') return translate('models.checkingSize');
@@ -922,7 +971,7 @@
     applyingModelsFolder = true;
     warningStatus = '';
     errorStatus = '';
-    status = useDefault ? 'Restoring the default models folder…' : 'Changing models folder…';
+    status = useDefault ? 'Restoring the default models folder…' : 'Changing models folder…';
     try {
       const root = await setModelsRoot(useDefault ? '' : modelsFolderInput.trim());
       acceptModelsRoot(root);
@@ -1297,6 +1346,8 @@
     outputArtifacts = [];
     outputText = '';
     outputJson = '';
+    outputRows = [];
+    outputRowKind = '';
   }
 
   async function ensureLoaded() {
@@ -1405,10 +1456,13 @@
   }
 
   async function refreshConfiguredVoices() {
-    if (!selectedId || server?.ui_management !== false) {
+    if (!selectedId) {
       configuredVoices = [];
       return;
     }
+    // Ask for this model's own voices regardless of management mode. The server
+    // returns its configured presets plus any embeddings shipped beside the
+    // weights, and skipping the call in managed mode made both unreachable.
     try {
       configuredVoices = await availableVoices(selectedId);
       if (quickStartVoice && !configuredVoices.includes(quickStartVoice)) quickStartVoice = '';
@@ -1569,6 +1623,22 @@
       if (lyricsRequired && !lyrics.trim()) {
         throw new StatusWarning(`${selected.display_name_en || selected.display_name} requires lyrics.`);
       }
+      if (selected.task === 'vdes' && !instructions.trim()) {
+        throw new StatusWarning(
+          `${selected.display_name_en || selected.display_name} requires a voice description.`);
+      }
+      if (selected.task === 'align') {
+        // Forced aligners need both halves; the engine throws for either, and a
+        // form message is a better place to learn that than a raw engine error.
+        if (!text.trim()) {
+          throw new StatusWarning(
+            `${selected.display_name_en || selected.display_name} requires the transcript to align.`);
+        }
+        if (!language.trim()) {
+          throw new StatusWarning(
+            `${selected.display_name_en || selected.display_name} requires a transcript language.`);
+        }
+      }
       await ensureLoaded();
         const options = requestOptions();
         if (usesVibeVoiceSpeakerFiles) {
@@ -1601,7 +1671,7 @@
             seed: chunkSeed(resolvedSeed, index),
             options
           };
-          if (supportsMaxTokens(selected)) body.max_tokens = maxTokens;
+          if (supportsMaxTokens(selected) && maxTokens !== '') body.max_tokens = maxTokens;
           if (voiceRef) body.voice_ref = voiceRef;
           else if (quickStartVoice) body.voice = demoVoiceSources[quickStartVoice] || quickStartVoice;
           else if (selected.default_voice) body.voice = selected.default_voice;
@@ -1637,6 +1707,7 @@
           options
         }, aborter.signal);
         outputText = String(result.text || '');
+        ({ rows: outputRows, kind: outputRowKind } = timedRowsFromResult(result));
         outputJson = JSON.stringify(result, null, 2);
       } else {
         if (needsSource && !audio) throw new StatusWarning('Choose a source audio file.');
@@ -1650,10 +1721,15 @@
             else request.duration_seconds = duration;
           }
           request.seed = resolvedSeed;
-          if (supportsMaxTokens(selected)) request.max_tokens = maxTokens;
+          if (supportsMaxTokens(selected) && maxTokens !== '') request.max_tokens = maxTokens;
         } else if (selected.task === 's2s') {
           request.seed = resolvedSeed;
-          if (supportsMaxTokens(selected)) request.max_tokens = maxTokens;
+          if (supportsMaxTokens(selected) && maxTokens !== '') request.max_tokens = maxTokens;
+        } else if (supportsSeed(selected)) {
+          // Voice conversion and the analysis tasks declare a seed but were never
+          // sent one, so their engines fell back to a fresh random value on every
+          // run and identical inputs could not be reproduced.
+          request.seed = resolvedSeed;
         }
         if (audio) request.audio = audio;
         if (voiceRef) request.voice_ref = voiceRef;
@@ -1681,6 +1757,7 @@
             }));
         }
         outputText = typeof result.text === 'string' ? result.text : '';
+        ({ rows: outputRows, kind: outputRowKind } = timedRowsFromResult(result));
         outputJson = JSON.stringify(result, (key, value) =>
           (key === 'audio' || key === 'payload') && typeof value === 'string'
             ? `<base64 data: ${value.length} chars>` : value, 2);
@@ -2134,8 +2211,9 @@
                 disabled={loadingModel || !available}
                 title={resident ? `Unload ${choice?.label}` : available ? `Load ${choice?.label}` :
                   `${choice?.label || slot.label} is not downloaded`}
+                aria-label={choice?.label || slot.label}
                 on:click={() => choice && toggleStudioPackage(choice)}>
-                {choice?.label || slot.label}
+                {choice?.short_label || slot.label}
               </button>
             {/each}
           </div>
@@ -2181,7 +2259,7 @@
           </div>
         {/if}
 
-        {#if selected.task === 'gen'}
+        {#if selected.task === 'gen' && supportsRequestOption(selected, 'lyrics') && !isFireRedAudioEdit}
           <label for="lyrics">{tr('request.lyrics')} <span>{lyricsRequired ? tr('voice.required') : tr('request.optional')}</span></label>
           <textarea id="lyrics" rows="3" bind:value={lyrics} required={lyricsRequired}
             aria-required={lyricsRequired} placeholder="[Verse]…"></textarea>
@@ -2213,7 +2291,7 @@
               <input id="language" bind:value={language} placeholder="auto" />
             </div>
           {/if}
-          {#if ['tts', 'clon', 'gen', 's2s', 'vdes'].includes(selected.task)}
+          {#if ['tts', 'clon', 'gen', 's2s', 'vdes'].includes(selected.task) || supportsSeed(selected)}
             <div>
               <label for="seed">{tr('request.seed')} <span>{tr('request.randomSeed')}</span></label>
               <input id="seed" type="number" min="-1" max="4294967295" step="1" bind:value={seed} />
@@ -2225,7 +2303,7 @@
               <input id="tokens" type="number" min="1" bind:value={maxTokens} />
             </div>
           {/if}
-          {#if selected.task === 'gen'}
+          {#if selected.task === 'gen' && !isFireRedAudioEdit}
             <div>
               <label for="duration">{tr('request.duration')}</label>
               <input id="duration" type="number" min={allowsAutoDuration ? -1 : 1} step="0.1" value={duration}
@@ -2483,6 +2561,35 @@
           <div class="empty-output"><div class="wave">∿</div><p>{tr('result.empty')}</p></div>
         {/if}
         {#if outputText}<textarea class="transcript" readonly rows="7" value={outputText}></textarea>{/if}
+        {#if outputRows.length}
+          <div class="timed-rows">
+            <div class="media-actions">
+              <strong>{tr(`result.rows.${outputRowKind}`)}</strong>
+              <button type="button" on:click={() => downloadSubtitles('srt')}>{tr('result.saveSrt')}</button>
+              <button type="button" on:click={() => downloadSubtitles('vtt')}>{tr('result.saveVtt')}</button>
+            </div>
+            <div class="timed-rows-scroll">
+            <table>
+              <thead>
+                <tr>
+                  <th>{tr('result.start')}</th>
+                  <th>{tr('result.end')}</th>
+                  <th>{outputRowKind === 'speaker_turns' ? tr('result.speaker') : tr('result.content')}</th>
+                </tr>
+              </thead>
+              <tbody>
+                {#each outputRows as row}
+                  <tr>
+                    <td>{formatTimecode(row.start, '.')}</td>
+                    <td>{formatTimecode(row.end, '.')}</td>
+                    <td>{[row.label, row.text].filter(Boolean).join(': ')}</td>
+                  </tr>
+                {/each}
+              </tbody>
+            </table>
+            </div>
+          </div>
+        {/if}
         {#if outputJson}<pre>{outputJson}</pre>{/if}
       </section>
     </div>
@@ -2570,7 +2677,10 @@
                             aria-pressed={packageIsSelected(entry, choice)}
                             disabled={groupInstallBusy(group, installJobs) ||
                               (packageSizeState === 'running' && Object.keys(packageSizes).length === 0)}
-                            title={`${choice.format.toUpperCase()} ${choice.precision}: ${resolveCatalogPath(choice.path)}`}
+                            title={`${choice.label} — ${choice.format.toUpperCase()} ${choice.precision}${
+                              packageVersionLabel(packageSizes[choice.id]) ? ` · ${packageVersionLabel(packageSizes[choice.id])}` : ''
+                            }: ${resolveCatalogPath(choice.path)}`}
+                            aria-label={choice.label}
                             on:click={() => useOrInstallPackage(entry, choice)}>
                             <span>{installButtonLabel(choice, installJobs[choice.id], tr)}</span>
                             {#if packageSizeLabel(packageSizes[choice.id], packageSizeState,
diff --git a/webui/native/src/routes/Arena.svelte b/webui/native/src/routes/Arena.svelte
index 4a7a930d4..c29e409f0 100644
--- a/webui/native/src/routes/Arena.svelte
+++ b/webui/native/src/routes/Arena.svelte
@@ -20,7 +20,7 @@
   export let loadedModels: LoadedModel[] = [];
   export let server: ServerHealth | null = null;
   export let modelsFolder = '';
-  export let maxTokens = 1024;
+  export let maxTokens: number | '' = '';
   export let entrySelectable: (entry: CatalogEntry) => boolean = () => true;
   export let studioPackageSlots: (entry: CatalogEntry) =>
     Array<{ key: string; label: string; choice?: InstallPackageChoice }> = () => [];
@@ -483,7 +483,7 @@
           seed: resolveRequestSeed(arenaSeed),
           options
         };
-        if (supportsMaxTokens(entry)) body.max_tokens = maxTokens;
+        if (supportsMaxTokens(entry) && maxTokens !== '') body.max_tokens = maxTokens;
         if (voiceRef) body.voice_ref = voiceRef;
         else if (builtinVoice) body.voice = builtinVoice;
         else if (entry.default_voice) body.voice = entry.default_voice;