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
- VaeImageProcessor.blur() docstring is missing blur_factor and has a copy-pasted description
- fix: correct VaeImageProcessor.blur() docstring
- Ancestral schedulers (EulerAncestral, KDPM2Ancestral) produce all-NaN output with beta_schedule="squaredcos_cap_v2"
- [LDM3D] Fix rgblike_to_depthmap truncating 16-bit depth back to 8 bits
- Add UniPic3Pipeline for multi-image editing and composition
- Make `HunyuanDiT2DModel` and `HunyuanDiT2DControlNetModel` hidden states contiguous
- [Bug] QwenImageEdit produces incorrect outputs with transformers >=5 due to missing mm_token_type_ids
- Fix Qwen Image edit pipelines to forward multimodal token type IDs
- Fix SEG `_gaussian_blur_2d`: finite `blur_sigma` is ignored (inverted infinite-blur branch)
- Bump transformers from 4.38.0 to 5.5.0 in /examples/research_projects/realfill
- Docs
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