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
- The bug occurs when using torch.compile on StableVideoDiffusionPipeline, and it happens when passing different images for the second time.
- Fix a dtype issue when evaluating the sana transformer with a float16 autocast context
- Inference error in Flux with quantization & LoRA applied, and a bug of Quanto with Zero GPU spaces
- [Bug] Encoder in diffusers.models.autoencoders.vae's forward method return type mismatch leads to AttributeError
- pipeline fail to move to "cuda" if one of the component is PeftModel
- support Infinity
- Some wrong in sd3's lora training script
- StableDiffusion3 pipeline RuntimeError when using prompt_embeds
- NaN in DPMSolverMultistepInverseScheduler
- Bump transformers from 4.38.0 to 4.48.0 in /examples/research_projects/realfill
- Docs
- Python not yet supported