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 moved Wuerstchen example path in training docs
- Convert bool attn_mask to additive bias in cuDNN forward op
- [modular] auto docstring better format
- Scheduler docstrings omit real parameters (`noise`, `mu`, `device`, `sigma*`) across 16 functions
- Add missing `Args:` entries to scheduler docstrings
- Scheduler `step()` methods silently ignore documented sampling parameters (`s_churn`, `s_noise`, `eta`, `generator`, `variance_noise`)
- Allow Flux2 to use MagCache
- [Download] Resolve the revision once at the beginning of from_pretrained
- cuDNN attention CP path consumes a bool attn_mask as an additive 0/1 bias
- refactor flux2 klein kv pipeline tests to the new mixin structure
- Docs
- Python not yet supported