Home Projects stable-diffusion.cpp
stable-diffusion.cpp
C++

stable-diffusion.cpp

Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++

by leejet · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
aicplusplusdiffusionMITC++
View on GitHub
In plain words

Run image generation models in C/C++ to create visuals from text prompts.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
stable-diffusion.cpp — GitHub preview card
📈 Star history
7k6k
2026-07-042026-08-31
📈 Track stable-diffusion.cpp

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++

stable-diffusion.cpp has 6.5k stars on GitHub. It has been forked 697 times. stable-diffusion.cpp is written mainly in C++. It has been in active development since 2023. stable-diffusion.cpp is available under the MIT license. Its main topics are ai, cplusplus, diffusion, flux.

Frequently asked questions

What is stable-diffusion.cpp?

Diffusion model(SD,Flux,Wan,Qwen Image,Z-Image,...) inference in pure C/C++

Is stable-diffusion.cpp open source?

stable-diffusion.cpp is an open-source project. It is released under the MIT license.

Is stable-diffusion.cpp free?

Yes. stable-diffusion.cpp is free and open source — you can use, modify and self-host it.

What license does stable-diffusion.cpp use?

stable-diffusion.cpp is available under the MIT license.

What language is stable-diffusion.cpp written in?

stable-diffusion.cpp is written mainly in C++.

🏅 Maintainer of this project?
olud.ai badge — stable-diffusion.cpp

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=leejet-stable-diffusion-cpp)](https://olud.ai/project/leejet-stable-diffusion-cpp.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.