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
- 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.
- fix: handle non-zero storage_offset in sage attention for ring compatibility
- fix(randn_tensor): compare device.type, not torch.device, when suppressing MPS info log
- Fix Flux 2 Klein dreambooth default text_encoder_out_layers
- Fix DreamBooth LoRA fp16 training crash after validation
- LoRA support for ERNIE-Image
- fix(ROCm): stream sync race in group_offloading + LSE shape mismatch in ring/Ulysses attention
- fix(freeu): run FFT in float32 for float16 inputs to avoid ComplexHalf
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- Python not yet supported