# Sygil-Dev/sygil-webui

Stable Diffusion web UI

Repository: https://github.com/Sygil-Dev/sygil-webui
Canonical: https://ross.abutalabs.com/products/sygil-webui
Language: Python
License: AGPL-3.0
License Family: copyleft
Last push: 2026-07-17T11:14:29+00:00

## Health v2 (maintenance only)
Score: 74/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 93, release rhythm 35, longevity 100
- inputs: {"age_days": 1470, "days_push": 47, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7870, forks 857 (observed 2026-08-28T04:10:08.507837+00:00)

## What it is
A browser-based web UI for generating images with Stable Diffusion, built in Python with Gradio and Streamlit frontends. It supports text-to-image, image-to-image, inpainting with masks, prompt weighting, multiple k-diffusion samplers, and built-in upscalers like GFPGAN and RealESRGAN.

## Use cases
- generate images from text prompts with stable diffusion
- run img2img to restyle existing images
- inpaint or mask-paint parts of an image
- upscale and enhance faces with GFPGAN or RealESRGAN
- train textual inversion embeddings
- run stable diffusion on a low-VRAM GPU
- compare prompt variations with a prompt matrix

## When to choose
- you want a full-featured browser UI for Stable Diffusion on your own GPU
- you need img2img, inpainting, and upscaling in one tool
- you have limited VRAM and need an optimized mode
- you want prompt weighting, negative prompts, and many samplers

## When to avoid
- you need a programmatic API or headless batch pipeline rather than a UI
- you want the most actively developed SD UI with the latest features
- you have no GPU and don't want to run models locally

## Facets
- artifact type: application
- maturity: maintenance
- function: image-processing, machine-learning, gui
- domain: image-processing, artificial-intelligence, web-development
- platform: windows, python, browser
- tags: stable-diffusion, text-to-image, img2img, gradio, streamlit, upscaling, textual-inversion, webui, linux, gpu

## Member repositories
- Sygil-Dev/sygil-webui (main) score 74

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:08.507837+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:33:44.437015+00:00, confidence not recorded.
  - readme: https://github.com/Sygil-Dev/sygil-webui (fetched 2026-08-28T04:10:08.507837+00:00, sha a40cdba9e4c9)
- Data as of 2026-08-30T08:39:29.467469+00:00.