fix: support OpenAI image dynamic resolution

backend/internal/api/handlers.go

@@ -582,6 +582,7 @@ func GenerateWithImagesHandler(c *gin.Context) {
 		"model_id":         modelID,
 		"aspect_ratio":     req.AspectRatio,
 		"resolution_level": req.ImageSize,
+		"quality":          req.Quality,
 		"count":            req.Count,
 		"reference_images": refImageBytes, // 传递 interface 列表，方便 Provider 类型断言
 	}

backend/internal/api/multipart_helper.go

@@ -25,6 +25,7 @@ type MultipartRequest struct {
 	Prompt                 string
 	AspectRatio            string
 	ImageSize              string
+	Quality                string
 	Count                  int
 	Verbose                bool
 	PromptOptimizeMode     string
@@ -86,6 +87,14 @@ func ParseGenerateRequestFromMultipart(c *gin.Context) (*MultipartRequest, error
 		req.ImageSize = string(data)
 		return nil
 	})
+	p.Parser.Register("quality", func(reader io.Reader, header formstream.Header) error {
+		data, err := io.ReadAll(reader)
+		if err != nil {
+			return err
+		}
+		req.Quality = string(data)
+		return nil
+	})
 	p.Parser.Register("count", func(reader io.Reader, header formstream.Header) error {
 		data, err := io.ReadAll(reader)
 		if err != nil {
@@ -172,6 +181,7 @@ func parseWithStandardLibrary(c *gin.Context) (*MultipartRequest, error) {
 		Prompt:      c.PostForm("prompt"),
 		AspectRatio: c.PostForm("aspectRatio"),
 		ImageSize:   c.PostForm("imageSize"),
+		Quality:     c.PostForm("quality"),
 		Count:       1,
 	}
 

backend/internal/api/multipart_helper_test.go

@@ -0,0 +1,49 @@
+package api
+
+import (
+	"bytes"
+	"mime/multipart"
+	"net/http"
+	"net/http/httptest"
+	"testing"
+
+	"github.com/gin-gonic/gin"
+)
+
+func TestParseGenerateRequestFromMultipartIncludesQuality(t *testing.T) {
+	gin.SetMode(gin.TestMode)
+
+	var body bytes.Buffer
+	writer := multipart.NewWriter(&body)
+	fields := map[string]string{
+		"provider":    "openai-image",
+		"model_id":    "gpt-image-2",
+		"prompt":      "edit prompt",
+		"aspectRatio": "1:1",
+		"imageSize":   "2K",
+		"quality":     "high",
+		"count":       "1",
+	}
+	for key, value := range fields {
+		if err := writer.WriteField(key, value); err != nil {
+			t.Fatalf("WriteField %s: %v", key, err)
+		}
+	}
+	if err := writer.Close(); err != nil {
+		t.Fatalf("Close multipart writer: %v", err)
+	}
+
+	request := httptest.NewRequest(http.MethodPost, "/api/generate-with-images", &body)
+	request.Header.Set("Content-Type", writer.FormDataContentType())
+	recorder := httptest.NewRecorder()
+	c, _ := gin.CreateTestContext(recorder)
+	c.Request = request
+
+	req, err := ParseGenerateRequestFromMultipart(c)
+	if err != nil {
+		t.Fatalf("ParseGenerateRequestFromMultipart: %v", err)
+	}
+	if req.Quality != "high" {
+		t.Fatalf("Quality = %q, want high", req.Quality)
+	}
+}

backend/internal/api/task_timeout_reconcile.go

@@ -41,6 +41,8 @@ func normalizeProviderForTimeout(providerName string) string {
 	switch {
 	case strings.HasPrefix(name, "gemini"):
 		return "gemini"
+	case name == "openai-image":
+		return "openai-image"
 	case strings.HasPrefix(name, "openai"):
 		return "openai"
 	default:

backend/internal/api/task_timeout_reconcile_test.go

@@ -0,0 +1,23 @@
+package api
+
+import (
+	"testing"
+	"time"
+)
+
+func TestTaskTimeoutForProviderKeepsOpenAIImageConfig(t *testing.T) {
+	timeoutMap := map[string]time.Duration{
+		"openai":       150 * time.Second,
+		"openai-image": 500 * time.Second,
+	}
+
+	if got := normalizeProviderForTimeout("openai-image"); got != "openai-image" {
+		t.Fatalf("normalizeProviderForTimeout(openai-image) = %q, want openai-image", got)
+	}
+	if got := taskTimeoutForProvider("openai-image", timeoutMap); got != 500*time.Second {
+		t.Fatalf("openai-image timeout = %s, want 500s", got)
+	}
+	if got := taskTimeoutForProvider("openai-chat", timeoutMap); got != 150*time.Second {
+		t.Fatalf("openai-chat timeout = %s, want 150s", got)
+	}
+}

backend/internal/provider/openai_image.go

@@ -6,8 +6,12 @@ import (
 	"encoding/base64"
 	"encoding/json"
 	"fmt"
+	"image"
 	"image-gen-service/internal/diagnostic"
 	"image-gen-service/internal/model"
+	_ "image/gif"
+	_ "image/jpeg"
+	"image/png"
 	"io"
 	"math"
 	"mime/multipart"
@@ -17,6 +21,8 @@ import (
 	"strconv"
 	"strings"
 	"time"
+
+	_ "golang.org/x/image/webp"
 )
 
 type OpenAIImageProvider struct {
@@ -414,20 +420,35 @@ func collectOpenAIImageReferences(raw interface{}) ([]openAIImageReference, erro
 		if len(imgBytes) == 0 {
 			continue
 		}
-		mimeType := http.DetectContentType(imgBytes)
-		if mimeType != "image/png" {
-			return nil, fmt.Errorf("第 %d 张参考图不是有效的 PNG 图片，OpenAI Edit 仅支持 PNG 格式", idx+1)
+		pngBytes, err := normalizeOpenAIReferenceImagePNG(imgBytes)
+		if err != nil {
+			return nil, fmt.Errorf("第 %d 张参考图不是有效图片: %w", idx+1, err)
 		}
 		refs = append(refs, openAIImageReference{
 			Name:    fmt.Sprintf("reference-%d.png", idx+1),
-			Content: imgBytes,
-			MIME:    mimeType,
+			Content: pngBytes,
+			MIME:    "image/png",
 		})
 	}
 
 	return refs, nil
 }
 
+func normalizeOpenAIReferenceImagePNG(imgBytes []byte) ([]byte, error) {
+	if http.DetectContentType(imgBytes) == "image/png" {
+		return imgBytes, nil
+	}
+	img, _, err := image.Decode(bytes.NewReader(imgBytes))
+	if err != nil {
+		return nil, err
+	}
+	var buf bytes.Buffer
+	if err := png.Encode(&buf, img); err != nil {
+		return nil, err
+	}
+	return buf.Bytes(), nil
+}
+
 func escapeMultipartFilename(name string) string {
 	return strings.NewReplacer("\\", "\\\\", `"`, "\\\"").Replace(name)
 }

backend/internal/provider/openai_image_test.go

@@ -1,9 +1,14 @@
 package provider
 
 import (
+	"bytes"
 	"encoding/base64"
 	"encoding/json"
+	"image"
 	"image-gen-service/internal/model"
+	"image/color"
+	"image/jpeg"
+	"io"
 	"net/http"
 	"net/http/httptest"
 	"strings"
@@ -188,6 +193,7 @@ func TestOpenAIImageProviderGenerateWithReferenceUsesEdits(t *testing.T) {
 		"model_id":         "gpt-image-2-all",
 		"aspect_ratio":     "1:1",
 		"resolution_level": "1K",
+		"quality":          "high",
 		"count":            1,
 		"reference_images": []interface{}{refBytes, refBytes, refBytes},
 	})
@@ -200,6 +206,9 @@ func TestOpenAIImageProviderGenerateWithReferenceUsesEdits(t *testing.T) {
 	if seenFields["model"] != "gpt-image-2-all" || seenFields["prompt"] != "edit prompt" || seenFields["size"] != "1280x1280" {
 		t.Fatalf("unexpected fields: %+v", seenFields)
 	}
+	if seenFields["quality"] != "high" {
+		t.Fatalf("quality = %q, want high", seenFields["quality"])
+	}
 	if _, ok := seenFields["input_fidelity"]; ok {
 		t.Fatalf("input_fidelity should not be sent to edits: %+v", seenFields)
 	}
@@ -214,10 +223,45 @@ func TestOpenAIImageProviderGenerateWithReferenceUsesEdits(t *testing.T) {
 	}
 }
 
-func TestOpenAIImageProviderRejectsNonPNGReference(t *testing.T) {
+func TestOpenAIImageProviderConvertsJPEGReferenceToPNG(t *testing.T) {
+	var jpegRef bytes.Buffer
+	img := image.NewRGBA(image.Rect(0, 0, 1, 1))
+	img.Set(0, 0, color.White)
+	if err := jpeg.Encode(&jpegRef, img, nil); err != nil {
+		t.Fatalf("encode jpeg: %v", err)
+	}
+
+	var seenImageContentType string
+	server := httptest.NewServer(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
+		if err := r.ParseMultipartForm(2 << 20); err != nil {
+			t.Fatalf("ParseMultipartForm: %v", err)
+		}
+		files := r.MultipartForm.File["image"]
+		if len(files) != 1 {
+			t.Fatalf("image files = %d, want 1", len(files))
+		}
+		seenImageContentType = files[0].Header.Get("Content-Type")
+		file, err := files[0].Open()
+		if err != nil {
+			t.Fatalf("open image part: %v", err)
+		}
+		defer file.Close()
+		content, err := io.ReadAll(file)
+		if err != nil {
+			t.Fatalf("read image part: %v", err)
+		}
+		if http.DetectContentType(content) != "image/png" {
+			t.Fatalf("uploaded content type = %q, want image/png", http.DetectContentType(content))
+		}
+		_ = json.NewEncoder(w).Encode(map[string]interface{}{
+			"data": []map[string]string{{"b64_json": tinyPNGBase64}},
+		})
+	}))
+	defer server.Close()
+
 	p, err := NewOpenAIImageProvider(&model.ProviderConfig{
 		ProviderName:   "openai-image",
-		APIBase:        "http://example.test/v1",
+		APIBase:        server.URL,
 		APIKey:         "test-key",
 		TimeoutSeconds: 5,
 	})
@@ -231,9 +275,19 @@ func TestOpenAIImageProviderRejectsNonPNGReference(t *testing.T) {
 		"aspect_ratio":     "1:1",
 		"resolution_level": "1K",
 		"count":            1,
-		"reference_images": []interface{}{[]byte("not an image")},
+		"reference_images": []interface{}{jpegRef.Bytes()},
 	})
-	if err == nil || !strings.Contains(err.Error(), "OpenAI Edit 仅支持 PNG 格式") {
-		t.Fatalf("Generate error = %v, want PNG validation error", err)
+	if err != nil {
+		t.Fatalf("Generate: %v", err)
+	}
+	if seenImageContentType != "image/png" {
+		t.Fatalf("image part Content-Type = %q, want image/png", seenImageContentType)
+	}
+}
+
+func TestOpenAIImageProviderRejectsInvalidReference(t *testing.T) {
+	_, err := collectOpenAIImageReferences([]interface{}{[]byte("not an image")})
+	if err == nil || !strings.Contains(err.Error(), "不是有效图片") {
+		t.Fatalf("collectOpenAIImageReferences error = %v, want invalid image error", err)
 	}
 }

backend/internal/worker/pool.go

@@ -480,13 +480,15 @@ func fetchProviderTimeout(providerName string) time.Duration {
 	name := strings.TrimSpace(strings.ToLower(providerName))
 	if strings.HasPrefix(name, "gemini") {
 		name = "gemini"
+	} else if name == "openai-image" {
+		name = "openai-image"
 	} else if strings.HasPrefix(name, "openai") {
 		name = "openai"
 	}
 
 	defaultTimeout := func(p string) time.Duration {
 		switch p {
-		case "gemini", "openai":
+		case "gemini", "openai", "openai-image":
 			return 500 * time.Second
 		default:
 			return 150 * time.Second

backend/internal/worker/pool_test.go

@@ -0,0 +1,44 @@
+package worker
+
+import (
+	"testing"
+	"time"
+
+	"image-gen-service/internal/model"
+
+	"gorm.io/driver/sqlite"
+	"gorm.io/gorm"
+)
+
+func TestFetchProviderTimeoutKeepsOpenAIImageConfig(t *testing.T) {
+	originalDB := model.DB
+	t.Cleanup(func() {
+		model.DB = originalDB
+	})
+
+	db, err := gorm.Open(sqlite.Open(":memory:"), &gorm.Config{})
+	if err != nil {
+		t.Fatalf("open test database: %v", err)
+	}
+	if err := db.AutoMigrate(&model.ProviderConfig{}); err != nil {
+		t.Fatalf("migrate provider config: %v", err)
+	}
+	model.DB = db
+
+	configs := []model.ProviderConfig{
+		{ProviderName: "openai", TimeoutSeconds: 150},
+		{ProviderName: "openai-image", TimeoutSeconds: 500},
+	}
+	for _, cfg := range configs {
+		if err := db.Create(&cfg).Error; err != nil {
+			t.Fatalf("create provider config %s: %v", cfg.ProviderName, err)
+		}
+	}
+
+	if got := fetchProviderTimeout("openai-image"); got != 500*time.Second {
+		t.Fatalf("openai-image timeout = %s, want 500s", got)
+	}
+	if got := fetchProviderTimeout("openai"); got != 150*time.Second {
+		t.Fatalf("openai timeout = %s, want 150s", got)
+	}
+}

desktop/package.json

@@ -1,7 +1,7 @@
 {
   "name": "nano-banana-pro-frontend",
   "private": true,
-  "version": "2.8.1",
+  "version": "2.8.2",
   "license": "MIT",
   "description": "大香蕉图片生成工具 - 批量图片生成应用前端",
   "type": "module",

desktop/src-tauri/Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "desktop"
-version = "2.8.1"
+version = "2.8.2"
 description = "A Tauri App"
 authors = ["you"]
 edition = "2021"