#1 · Primary category: Image Generation

stable-diffusion-webui

ai ai-art deep-learning diffusion gradio image-generation image2image img2img pytorch stable-diffusion text2image torch txt2img unstable upscaling web

Stable Diffusion web UI

Project last updated:03/02/26

GitHub Stars

164.7K

Forks

30.6K

Contributors

638

License

AGPL-3.0

Why we included this project

Most people who want to run Stable Diffusion on their own hardware start here, because it swaps command-line scripts for a browser interface that runs locally. The main generation modes are covered: text-to-image, image-to-image, inpainting, and outpainting, and the settings that matter, like prompt weighting, sampler choice, and seed control, sit right in the UI rather than buried in flags. An extras tab adds face restoration and several neural upscalers, and the training tab handles embeddings and LoRAs without leaving the app. It also exposes an API and supports a large ecosystem of community extensions, which makes it useful both as a daily tool for individual creators and as a base layer for teams building their own pipelines.

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