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
- [docs] Optimize and scale pt. 2
- ci: allow running multi-gpu tests through diffusers-bot using HF Jobs
- numpy_to_pil removes singleton spatial dimensions from grayscale images
- Required weight pass on a singlefile
- CFG cutoff callbacks keep a single embedding row, so they break for num_images_per_prompt > 1 or several prompts
- Add dict input support to from_single_file for reusing loaded weights
- Fix QwenImage21 MPS temporal padding corruption
- feat: implement cache_context for pab and fastercache.
- UniPCMultistepScheduler returns nan with solver_type="bh1", and inf or nan with lower_order_final=False or predict_x0=False, on the final step to sigma = 0
- UniPCMultistepScheduler fails in torch.linalg.solve under a float64 default dtype: the unit entry of rks takes the default dtype
- Docs
- Python not yet supported