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
- Warn when add_noise runs before set_timesteps
- [LTX-2] Add `decode_audio` to skip the audio decode in modular pipelines
- Modular pipelines: warn when a `denoiser_input_fields` entry is not passed to the transformer
- fix(models): restore temporarily offloaded weights after loading
- Fix SDXL watermark encode so Stability detect.py recovers the bits
- [LTX-2] Modular pipelines: let callers skip the audio decode for video-only outputs
- [hooks] Support Qwen Image 2.1 in MagCache
- SDXL invisible watermark: apply_watermark encodes float input, and about a third of outputs are not detected by Stability's detect.py
- offload_state_dict=True leaves CPU model weights on meta after loading
- [LoRA] Text-encoder LoRA loading assumes CLIP module names and fails for T5 / SmolLM3 / ChatGLM text encoders
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