diffusers
https://github.com/huggingface/diffusers
Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
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- Issues
- fix(training): continue training past epoch boundary on skipped optimizer step
- Keep DreamLite's GQA-aware attention processor when attention slicing is disabled
- Allow models to customize tensor parallel plans
- fix(ltx2): add version-gated fallback proxies for Gemma4 imports on older transformers
- Fix per-token flow velocity sign and update video pipeline callers
- img2img: outputs paired with the wrong init image
- Cosmos 3 FP8: wrapping pipe.transformer (e.g. torch.compile) silently disables the checkpoint's W8A16 step policy
- Cosmos 3 docs: FP8 snippet fails at the first W8A8 step without importing ModelOpt's FP8 GEMM backend
- fix(training): EMA updates on skipped optimizer step with AMP
- [docs] Distributed inference
- Docs
- Python not yet supported