stable-diffusion-webui
by AUTOMATIC1111Stable Diffusion web UI
GPT Image 2/2.5 prompt gallery, image prompt library, agentic skill, and CLI for OpenAI image generation/editing
This is the project's own description from GitHub — we show it as-is rather than inventing details.
This project is listed under AI Image Generation in Artificial Intelligence, a category made for creators, businesses, students and developers who want to use AI without getting lost in research papers.
Do I need coding knowledge? Coding Knowledge Recommended. (Estimate based on project type: A developer tool/library — setup usually follows the README with basic coding skills. Always confirm from the repo's README.)
The source code is released under the MIT license. Open-source licenses like this usually allow free use, including commercial use — but always read the actual license file in the repository before relying on it. Note: the code being free does not mean hosted services, APIs or infrastructure around it are free.
Activity level: Active · Last code update: 30 Sep 2026 · Created: 22 Apr 2026 · Open issues: 1
Official links: Releases ↗ · Documentation (README) ↗
We never publish installation steps we have not verified — the README above is the source of truth.
⭐ 6032 stars · 🍴 484 forks · 🐛 1 open issues · 💻 Language: Python · 📄 License: MIT · Default branch: main
Stable Diffusion web UI
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface. The fastest local inference engine in the world.
Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4.1, MiniMax-H3, Gemma 4, FLUX and more.
World's first open-source, agentic video production system. 12 production pipelines, 100+ tools, 700+ agent skill and production-knowledge files. Turn your AI coding assistant…
LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.