head to head · open source
stable-diffusion-webui vs coze-studio
stable-diffusion-webui has 165,228 GitHub stars, 31,916 forks, 2,510 open issues and last shipped 8 months ago. coze-studio has 21,793 stars, 3,137 forks, 568 open issues and last shipped 3 months ago. stable-diffusion-webui leads on adoption by 658% (165,228 vs 21,793 stars). stable-diffusion-webui is written in Python under AGPL-3.0; coze-studio is written in TypeScript under Apache-2.0. stable-diffusion-webui has attracted 19% as many forks as stars, coze-studio 14%. coze-studio was the more recently maintained of the two, and both are self-hostable with no licence fee.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
← all 20902 open source comparisons
Side by side
| stable-diffusion-webui | coze-studio | |
|---|---|---|
| GitHub stars | ★ 165K | ★ 22K |
| License | AGPL-3.0 | Apache-2.0 |
| Written in | Python | TypeScript |
| Last push | 2026-03-02 | 2026-07-29 |
| Forks | ⑂ 32K | ⑂ 3.1K |
| 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
pick coze-studio if
- You want the coze-studio feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches TypeScript
- You evaluated both and coze-studio fits your workflow better
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 coze-studio
Coze Studio • Feature list • Quickstart • Developer Guide English 中文 What is Coze Studio? Coze Studio is an all in one AI agent development tool. Providing the latest large models and tools, various development modes and frameworks, Coze Studio offers the most convenient AI agent development environment, from development to deployment. Provides all core technologies needed for AI agent development : prompt, RAG, plugin, workflow, enabling developers to focus on creating the core value of AI. Ready to use for professional AI agent development at the lowest cost : Coze Studio provides developers with complete app…
read the full coze-studio overview →
More in AI & Machine Learning
Related comparisons
More AI Interaction & Interfaces projects
Compare either of these against the rest of the AI Interaction & Interfaces field.
Frequently asked questions
Is stable-diffusion-webui or coze-studio more popular?
stable-diffusion-webui has 165,228 GitHub stars and coze-studio has 21,793. stable-diffusion-webui has the larger community by that measure.
Are stable-diffusion-webui and coze-studio free?
Both are open source. stable-diffusion-webui is licensed under AGPL-3.0 and coze-studio under Apache-2.0. Neither carries a licence fee.
What is the difference between stable-diffusion-webui and coze-studio?
stable-diffusion-webui is written in Python and coze-studio in TypeScript. 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 coze-studio?
Choose stable-diffusion-webui if you want the larger community (165,228 stars) or its AGPL-3.0 licence terms. Choose coze-studio if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.