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
- [Refactor] Stable Diffusion UNet Refactor Proposal
- [Tests] fast tests single file checkpoints
- Update train_dreambooth_lora_sd15_advanced.py
- Added ability to provide list of enabled embeddings for maybe_convert_prompt call
- fix: support modules in UNet3DConditionModel and UNetMotionModel for kohya LoRA conversion
- Add aspect ratio bucketing to training scripts
- Adds Img2Img2 Variant for HunyuanDiT.
- Suggestion for speeding up `index_for_timestep` by removing sequential `nonzero()` calls in samplers
- train_dreambooth_lora_flux validation RuntimeError: Input type (float) and bias type (c10::BFloat16) should be the same
- FlowMatch schedulers - closing the gap
- Docs
- Python not yet supported