sygil-dev/sygil-webui

Stable Diffusion web UI

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Summary Information

Updated 29 minutes ago
Added to GitGenius on September 8th, 2026
Created on August 24th, 2022
Open Issues & Pull Requests: 89 (+0)
GitHub issues: Enabled
Number of forks: 858
Total Stargazers: 7,866 (+0)
Total Subscribers: 70 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.0 hours
Mean response time: 172.5 days
90th percentile: 1109.7 days
Tracked items: 7

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Issue Activity (beta)

Open issues: 4
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 675 days
Stale 30+ days: 3
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (2)

Most active issues this week

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Detailed Description

Sygil-webui is a web-based user interface for Stable Diffusion that lets you generate and manipulate images through a browser.

The tool addresses the challenge of making Stable Diffusion accessible without requiring command-line expertise. It provides a graphical interface built with Gradio and Streamlit, allowing users to input text prompts and receive generated images. The interface includes built-in image enhancement through GFPGAN and realESRGAN upscalers, real-time generation preview, and mask-based inpainting to regenerate specific image regions. Advanced sampling options include multiple K-Diffusion samplers such as k_euler, k_lms, k_dpm_2, and DDIM. The tool supports prompt weighting, negative prompts, and sequential seed generation for batch operations. Loopback functionality automatically feeds generated images back into img2img for iterative refinement, while prompt matrix mode generates images for every combination of pipe-separated prompts.

The project suits users who want to run Stable Diffusion locally without deep technical knowledge. It is optimized for systems with limited VRAM, supporting 512x512 generation on 4GB with optimized mode enabled. The tool offers both Streamlit and Gradio interfaces, with Gradio providing advanced img2img editing with mask and crop capabilities. Installation guides are provided for Windows and Linux. Users seeking community support can access the Discord server or GitHub Discussions for questions and feature requests.

Development activity shows consistent engagement with community contribution. The project maintains organized documentation and a contribution guide for potential contributors. The team actively manages feature requests and questions through multiple channels including Discord and GitHub Discussions, indicating responsive community interaction.