[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
Align noisy images with trained models to improve the quality of generated visuals.
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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.
[ICLR'25 Oral] Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think
REPA is an open-source project. It is released under the MIT license.
Yes. REPA is free and open source — you can use, modify and self-host it.
REPA is available under the MIT license.
REPA is written mainly in Python.
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