# End2End-Diffusion/REPA-E

<https://repo.masters-masters.com/en/repos/End2End-Diffusion/REPA-E>

[Home](https://repo.masters-masters.com/en) › [End2End-Diffusion](https://repo.masters-masters.com/en/owners/End2End-Diffusion) › [REPA-E](https://repo.masters-masters.com/en/repos/End2End-Diffusion/REPA-E)

End2End-Diffusion/REPA-E has 527 stars on GitHub. Its RepoMasters card: Alpha tier. \[ICCV 2025\] Official implementation of the paper: REPA-E: Unlocking VAE…

| Field | Value |
| --- | --- |
| Owner | [End2End-Diffusion](https://repo.masters-masters.com/en/owners/End2End-Diffusion) |
| Stars | 527 |
| Forks | 34 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [End2End-Diffusion/REPA-E](https://github.com/End2End-Diffusion/REPA-E) |

## Repository

\[ICCV 2025\] Official implementation of the paper: REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

## More repos by End2End-Diffusion

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
