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
- 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.
- fix: handle non-zero storage_offset in sage attention for ring compatibility
- fix(group_offloading): synchronize default stream against transfer stream
- Fix: use resample-aware bilinear+antialias interpolation for tensor/numpy resize in VaeImageProcessor
- Fix load_lora_weights crash on modular sub-pipelines without transformer
- hooks/pyramid_attention_broadcast: remove redundant iteration==0 guard and fix stale cache VRAM leak
- Loading loras on "text_pipe" of a modular pipeline fails
- [attention backends] Add Neuron backend for context parallel
- Fix encoder difference between modular and standard pipelines for Qwen Image and consistency with other models
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