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
- Normalize negative_prompt in LongCatAudioDiT pipeline for CFG symmetry
- Fix TypeError in LongCatImageEditPipeline truncation warning
- Fix NameError in ZImageOmniPipeline when guidance_scale=0
- Fix AttributeError in textual_inversion_bf16 by adding --report_to arg
- Fix AttributeError in Wuerstchen prior training model card
- Fix AttributeError/TypeError in sana_sprint model-card save
- Improve TorchAO quantization test coverage and XPU support
- fix(gguf): correct mismatched-shape error message in check_quantized_param_shape
- Z-Image's modular TE block only produces negative_prompt_embeds when the pipeline's guider is enabled (CFG active).
- Sage attention fails with ring-attention.
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