[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation
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Updated
Jul 29, 2026 - Python
[ICML 2026] ByteDance's All-in-One Video Generation Model for Human-Object Interaction Video Generation
Pytorch Implementation of the paper "M3-TTS: Multi-modal DiT Alignment & Mel-latent for Zero-shot High-fidelity Speech Synthesis"
Krea 2 Turbo (12.9B text-to-image) ported to Apple MLX — local web UI + CLI, validated faithful to PyTorch
Twelve modern text-to-image architectures (Stable Diffusion U-Net, DiT, MMDiT, FLUX single-stream, SANA, JiT, MeanFlow, Transfusion, AR, MaskGIT, VAR, MAR) in PyTorch, trained and benchmarked side by side on a CPU
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