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 supported3 Subscribers
Add a CodeTriage badge to diffusers
Help out
- Issues
- [docs] Fix broken Wuerstchen example links in en training docs
- Equip the UniPC Solver with the capability of using customed timesteps and provide a precise document to explain the parameters.
- Request the UniPCMultistepScheduler to allow a customed timesteps
- Fix latent/caption mismatch in SD3 dreambooth lora trainer with cache_latents + shuffle
- Title: Group offloading with use_stream=True fails on torchao int8 version=2 (pin_memory on CUDA qdata)
- fix(ldm3d): return uint16/int32 from rgblike_to_depthmap instead of casting back to uint8
- ci: bound TruffleHog scans on branch pushes
- fix(ci): skip unknown labels in issue labeler instead of failing
- fix(schedulers): guard Helios schedulers against float64 on MPS
- VaeImageProcessorLDM3D.preprocess fails for batched NumPy RGB/depth inputs
- Docs
- Python not yet supported