Home Projects StableGen
StableGen
Python

StableGen

Transform your 3D texturing workflow with the power of generative AI, directly within Blender!

by sakalond · GitHub
Stars
Forks
License
Created
Last commit
Category
Language
blendercontrolnetipadapterGPL-3.0Python
View on GitHub
In plain words

Create and texture 3D models from images or text prompts within Blender.

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 →
StableGen — GitHub preview card
📈 Star history
843842
2026-07-202026-08-31
📈 Track StableGen

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

Transform your 3D texturing workflow with the power of generative AI, directly within Blender!

StableGen has 842 stars on GitHub. It has been forked 73 times. StableGen is written mainly in Python. It has been in active development since 2025. StableGen is available under the GPL-3.0 license. Its main topics are blender, controlnet, ipadapter, qwen-image-edit.

Frequently asked questions

What is StableGen?

Transform your 3D texturing workflow with the power of generative AI, directly within Blender!

Is StableGen open source?

StableGen is an open-source project. It is released under the GPL-3.0 license.

Is StableGen free?

Yes. StableGen is free and open source — you can use, modify and self-host it. Its GPL-3.0 license is copyleft: if you distribute a modified version, it must remain under the same license.

What license does StableGen use?

StableGen is available under the GPL-3.0 license.

What language is StableGen written in?

StableGen is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — StableGen

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

[![olud.ai](https://olud.ai/badge.php?tool=sakalond-stablegen)](https://olud.ai/project/sakalond-stablegen.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.