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
- Set `begin_index` for flow-matching pipelines to avoid slow `index_for_timestep`
- Fix for loading of Kohya's Musubi tuner's Flux.2 dev lora
- Fix None dereference crashes and mutable default feat_idx in Wan/Cosmos autoencoders
- Elastic-DiT support
- Fix mutable default arguments, resource leak, and redundant assignment
- Flux2KleinPipeline doesn't accept tensor format as input image
- tests: add regression test for logger NameError in torchao_quantizer
- Fix CogVideoX dynamic CFG to use loop index instead of timestep value
- [attention backends] remove non-hub attention backends.
- Wan I2V expand_timesteps: why hard-clamp only first frame (no last-frame clamp)?
- Docs
- Python not yet supported