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REPA

[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

by sihyun-yu · GitHub
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diffusiondiffusion-modelsMITPython
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Align noisy images with trained models to improve the quality of generated visuals.

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1 6791 678
2026-07-202026-08-31
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[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

REPA has 1.7k stars on GitHub. It has been forked 97 times. REPA is written mainly in Python. It has been in active development since 2024. REPA is available under the MIT license. Its main topics are diffusion, diffusion-models.

Frequently asked questions

What is REPA?

[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Is REPA open source?

REPA is an open-source project. It is released under the MIT license.

Is REPA free?

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

What license does REPA use?

REPA is available under the MIT license.

What language is REPA written in?

REPA is written mainly in Python.

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