Contents

diffusers 0.29.2

0

State-of-the-art diffusion in PyTorch and JAX.

State-of-the-art diffusion in PyTorch and JAX.

Stars: 24189, Watchers: 24189, Forks: 4992, Open Issues: 535

The huggingface/diffusers repo was created 2 years ago and the last code push was 17 minutes ago.
The project is extremely popular with a mindblowing 24189 github stars!

How to Install diffusers

You can install diffusers using pip

pip install diffusers

or add it to a project with poetry

poetry add diffusers

Package Details

Author
The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/diffusers/graphs/contributors)
License
Apache 2.0 License
Homepage
https://github.com/huggingface/diffusers
PyPi:
https://pypi.org/project/diffusers/
GitHub Repo:
https://github.com/huggingface/diffusers

Classifiers

  • Scientific/Engineering/Artificial Intelligence
No  diffusers  pypi packages just yet.

Errors

A list of common diffusers errors.

Code Examples

Here are some diffusers code examples and snippets.

GitHub Issues

The diffusers package has 535 open issues on GitHub

  • Loading StableDiffusionXLControlNetPipeline from single file
  • How to call a different scheduler when training a model from repo
  • Add SDXL long weighted prompt pipeline (replace pr:4629)
  • Should AudioLDM pipeline use separate unet class
  • StableDiffusionXLControlNetPipeline is missing denoising_end
  • Fix Disentangle ONNX and non-ONNX pipeline
  • add data_dir parameter when calling load_dataset
  • Different results after DDIM inverse.
  • Allow passing a checkpoint state_dict to convert_from_ckpt (instead of just a string path)
  • Key-Locked Rank One Editing for Text-to-Image Personalization
  • if "text_embeds" not in added_cond_kwargs: TypeError: argument of type 'NoneType' is not iterable
  • raise EnvironmentError( OSError: Error no file named config.json found in directory /workspace/canny/ControlNet-v1-1.
  • convert controlnet to onnx failed
  • Implementing Fooocus
  • [docs] ControlNet guide

See more issues on GitHub

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