UNO
[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
Generate images by combining different subjects and styles while maintaining a realistic look.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
UNO has 1.4k stars on GitHub. It has been forked 78 times. UNO is written mainly in Python. It has been in active development since 2025. UNO is available under the Apache-2.0 license. Its main topics are diffusion, diffusion-transformer, flux, image-generation.
What is UNO?
[ICCV 2025] 🔥🔥 UNO: A Universal Customization Method for Both Single and Multi-Subject Conditioning
Is UNO open source?
UNO is an open-source project. It is released under the Apache-2.0 license.
Is UNO free?
Yes. UNO is free and open source — you can use, modify and self-host it.
What license does UNO use?
UNO is available under the Apache-2.0 license.
What language is UNO written in?
UNO is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/bytedance-uno.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.