head to head · open source

stable-diffusion-webui vs CosyVoice

stable-diffusion-webui has 165,228 GitHub stars, 31,916 forks, 2,510 open issues and last shipped 8 months ago. CosyVoice has 24,247 stars, 2,769 forks, 698 open issues and last shipped 5 months ago. stable-diffusion-webui leads on adoption by 581% (165,228 vs 24,247 stars). stable-diffusion-webui is written in Python under AGPL-3.0; CosyVoice is written in Python under Apache-2.0. stable-diffusion-webui has attracted 19% as many forks as stars, CosyVoice 11%. CosyVoice 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.

stable-diffusion-webui ★ 165K CosyVoice ★ 24K category AI & Machine Learning

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Side by side

stable-diffusion-webui CosyVoice
GitHub stars ★ 165K ★ 24K
License AGPL-3.0 Apache-2.0
Written in Python Python
Last push 2026-03-02 2026-05-25
Forks ⑂ 32K ⑂ 2.8K
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 CosyVoice if

  • You want the CosyVoice feature set and don't need the biggest community
  • You prefer the Apache-2.0 license terms
  • Your stack matches Python
  • You evaluated both and CosyVoice fits your workflow better

full CosyVoice 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 CosyVoice

👉🏻 CosyVoice 👈🏻 Fun CosyVoice 3.0 : Demos; Paper; Modelscope; Huggingface; CV3 Eval CosyVoice 2.0 : Demos; Paper; Modelscope; HuggingFace CosyVoice 1.0 : Demos; Paper; Modelscope; HuggingFace Highlight🔥 Fun CosyVoice 3.0 is an advanced text to speech (TTS) system based on large language models (LLM), surpassing its predecessor (CosyVoice 2.0) in content consistency, speaker similarity, and prosody naturalness. It is designed for zero shot multilingual speech synthesis in the wild. Key Features Language Coverage : Covers 9 common languages (Chinese, English, Japanese, Korean, German, Spanish, French…

read the full CosyVoice overview →

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Frequently asked questions

Is stable-diffusion-webui or CosyVoice more popular?

stable-diffusion-webui has 165,228 GitHub stars and CosyVoice has 24,247. stable-diffusion-webui has the larger community by that measure.

Are stable-diffusion-webui and CosyVoice free?

Both are open source. stable-diffusion-webui is licensed under AGPL-3.0 and CosyVoice under Apache-2.0. Neither carries a licence fee.

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

stable-diffusion-webui is written in Python and CosyVoice 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 CosyVoice?

Choose stable-diffusion-webui if you want the larger community (165,228 stars) or its AGPL-3.0 licence terms. Choose CosyVoice if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.