diffusers
https://github.com/huggingface/diffusers
Python
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported2 Subscribers
Add a CodeTriage badge to diffusers
Help out
- Issues
- z-image support npu
- universal method or class to load any model locally
- Fix `stable_video_diffusion`
- Fix consistency_models class-label sampling and latent shapes
- [Windows] RTX 5070 Ti (Blackwell sm_120) - setup and deployment notes
- Add a (rolling) KV cache for Wan models to enable autoregressive rollouts ("SelfForcing-style").
- 如何实现flux2Klein的DPO训练
- fix(onnx): make provider_options optional in OnnxRuntimeModel._from_pretrained (#13653)
- fix(free_noise): resolve None default, repeat_context/shuffle_context, list gen, mid-block disable (#13653)
- fix(unets): preserve scalar float timestep dtype in UNet1D/2D + FlaxUNet2DCondition (#13654)
- Docs
- Python not yet supported