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
- Cache text encoder embeds in pipelines
- Diffusers Roadmap
- [Conversion Script] Added change script to merge safe tensors to single file
- KolorsPipeline does not support from_single_file
- 【BUG】Attention.head_to_batch_dim has bug in terms of tensor permutation
- The bug occurs when using torch.compile on StableVideoDiffusionPipeline, and it happens when passing different images for the second time.
- Fix a dtype issue when evaluating the sana transformer with a float16 autocast context
- Inference error in Flux with quantization & LoRA applied, and a bug of Quanto with Zero GPU spaces
- [Bug] Encoder in diffusers.models.autoencoders.vae's forward method return type mismatch leads to AttributeError
- pipeline fail to move to "cuda" if one of the component is PeftModel
- Docs
- Python not yet supported