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
- Bump the actions group across 1 directory with 18 updates
- Consolidate torch device backend dispatch
- LTX2 import fails with Transformers 5.5.0 due to annotation-only Gemma4Unified dependency
- MLU backend utilities fail despite MLU device detection
- Add IP-Adapter support to StableDiffusionXLInstructPix2PixPipeline
- fix(wan): use device-agnostic default for get_i2v_mask
- fix(minimax): enable autocast on all accelerators in VAE decoding
- downcast MiniMax-H3 position_ids at the device transfer on fp64-less backends
- `Cosmos2VideoToWorldPipeline` applies FPS RoPE modulation that the released Cosmos-Predict2 checkpoints disable natively (default fps=16 → temporal RoPE ×1.5)
- save_pretrained(safe_serialization=False) leaves the old safetensors checkpoint behind, and from_pretrained loads it instead of the new weights
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