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
- [Modular] Support Ideogram4 Image2Image and Inpaint
- Public `embeddings.py` helpers raise `ValueError` with default arguments
- Helios schedulers raise `TypeError` on MPS: `float64` without the device guard
- IPNDMScheduler and KDPM2DiscreteScheduler return all-NaN on MPS
- Remove deprecated VQModel/VQEncoderOutput shim (past target version 0.31)
- Convert bool attn_mask to additive bias in cuDNN forward op
- [modular] auto docstring better format
- Scheduler `step()` methods silently ignore documented sampling parameters (`s_churn`, `s_noise`, `eta`, `generator`, `variance_noise`)
- Allow Flux2 to use MagCache
- [Download] Resolve the revision once at the beginning of from_pretrained
- Docs
- Python not yet supported