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 nan sigmas when num_inference_steps=1 with shift_terminal
- Fix UnboundLocalError in get_parameter_dtype from a shadowed tuple builtin
- [core] propagate sage attention updates.
- UnCLIPScheduler.set_timesteps crashes (ZeroDivisionError) for 1 step and silently returns an empty schedule for 0 steps
- Remove per-step host syncs from denoising loops (CogVideoX, Z-Image, Cosmos), enable regional compilation for CogVideoX
- RMSNorm crashes on NPU when elementwise_affine=False (weight=None): npu_rms_norm requires a real gamma tensor
- Update remaining pipeline docstrings from `torch_dtype` to `dtype`
- fixed_large_log variance sampling returns NaNs
- fix: raise a clear error in UnCLIPScheduler.set_timesteps for fewer than 2 steps
- fix: npu_rms_norm does not support gamma=None, use all-ones tensor in…
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