head to head · open source

stable-diffusion-webui vs Onyx

stable-diffusion-webui has 165,228 GitHub stars, 31,916 forks, 2,510 open issues and last shipped 8 months ago. Onyx has 33,170 stars, 4,692 forks, 451 open issues and last shipped yesterday. stable-diffusion-webui leads on adoption by 398% (165,228 vs 33,170 stars). stable-diffusion-webui is written in Python under AGPL-3.0; Onyx is written in Python under a custom or non-standard licence. stable-diffusion-webui has attracted 19% as many forks as stars, Onyx 14%. Onyx was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (ai), so they are genuine substitutes rather than adjacent tools.

Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.

stable-diffusion-webui ★ 165K Onyx ★ 33K category AI & Machine Learning

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Side by side

stable-diffusion-webui Onyx
GitHub stars ★ 165K ★ 33K
License AGPL-3.0 Custom / other
Written in Python Python
Last push 2026-03-02 2026-11-02
Forks ⑂ 32K ⑂ 4.7K
Self-hosting Yes Yes
Data ownership Your server Your server

pick stable-diffusion-webui if

  • You weight community size — 165K stars and counting
  • You want the AGPL-3.0 license terms
  • Your stack matches Python
  • You value the larger contributor base for long-term maintenance

full stable-diffusion-webui profile →

pick Onyx if

  • You want the Onyx feature set and don't need the biggest community
  • You prefer the Custom / other license terms
  • Your stack matches Python
  • You evaluated both and Onyx fits your workflow better

full Onyx profile →

About stable-diffusion-webui

Stable Diffusion web UI A web interface for Stable Diffusion, implemented using Gradio library. Features Detailed feature showcase with images: Original txt2img and img2img modes One click install and run script (but you still must install python and git) Outpainting Inpainting Color Sketch Prompt Matrix Stable Diffusion Upscale Attention, specify parts of text that the model should pay more attention to a man in a ((tuxedo)) will pay more attention to tuxedo a man in a (tuxedo:1.21) alternative syntax select text and press Ctrl+Up or Ctrl+Down (or Command+Up or Command+Down if you're on a MacOS) to…

read the full stable-diffusion-webui overview →

About Onyx

Onyx The Open Source AI Platform Onyx is the application layer for LLMs bringing a feature rich interface that can be easily hosted by anyone. Onyx enables LLMs through advanced capabilities like RAG, web search, code execution, file creation, deep research and more. Connect your applications with over 50+ indexing based connectors provided out of the box or via MCP. [!TIP] Deploy with a single command: ⭐ Features 🔍 Agentic RAG: Get best in class search and answer quality based on hybrid index + AI Agents for information retrieval Benchmark to release soon! 🔬 Deep Research: Get in depth reports with a multi…

read the full Onyx overview →

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Frequently asked questions

Is stable-diffusion-webui or Onyx more popular?

stable-diffusion-webui has 165,228 GitHub stars and Onyx has 33,170. stable-diffusion-webui has the larger community by that measure.

Are stable-diffusion-webui and Onyx free?

Both are open source. stable-diffusion-webui is licensed under AGPL-3.0, and Onyx has no licence declared in this registry. Both are free to self-host.

What is the difference between stable-diffusion-webui and Onyx?

stable-diffusion-webui is written in Python and Onyx in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.

Which should I choose, stable-diffusion-webui or Onyx?

Choose stable-diffusion-webui if you want the larger community (165,228 stars) or its AGPL-3.0 licence terms. Choose Onyx if its feature set, stack or Custom / other licence fits better. Both are self-hostable.