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Stable Diffusion WebUI Docker

Run Stable Diffusion on your machine with a nice UI without any hassle!

This repository provides multiple UIs for you to play around with stable diffusion:

Features

AUTOMATIC1111

AUTOMATIC1111's fork is imho the most feature rich yet elegant UI:

  • Text to image, with many samplers and even negative prompts!
  • Image to image, with masking, cropping, in-painting, out-painting, variations.
  • GFPGAN, RealESRGAN, LDSR, CodeFormer.
  • Loopback, prompt weighting, prompt matrix, X/Y plot
  • Live preview of the generated images.
  • Highly optimized 4GB GPU support, or even CPU only!
  • Textual inversion allows you to use pretrained textual inversion embeddings
  • Full feature list here
Text to image Image to image Extras

hlky (sd-webui / sygil-webui)

hlky's fork is one of the most popular UIs, with many features:

  • Text to image, with many samplers
  • Image to image, with masking, cropping, in-painting, variations.
  • GFPGAN, RealESRGAN, LDSR, GoBig, GoLatent
  • Loopback, prompt weighting
  • 6GB or even 4GB GPU support!
  • Full feature list here

Screenshots:

Text to image Image to image Image Lab

lstein (InvokeAI)

lstein's fork is one of the earliest with a wonderful WebUI.

Text to image Image to image Extras

Setup & Usage

Visit the wiki for Setup and Usage instructions, checkout the FAQ page if you face any problems, or create a new issue!

Contributing

Contributions are welcome!

Create an issue first of what you want to contribute (before you implement anything)

Disclaimer

The authors of this project are not responsible for any content generated using this interface.

This license of this software forbids you from sharing any content that violates any laws, produce any harm to a person, disseminate any personal information that would be meant for harm, spread misinformation and target vulnerable groups. For the full list of restrictions please read the license.

Thanks

Special thanks to everyone behind these awesome projects, without them, none of this would have been possible:

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Easy Docker setup for Stable Diffusion with user-friendly UI

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