# ML-GSAI/Scaling-Diffusion-Transformers-muP

<https://repo.masters-masters.com/en/repos/ML-GSAI/Scaling-Diffusion-Transformers-muP>

[Home](https://repo.masters-masters.com/en) › [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) › [Scaling-Diffusion-Transformers-muP](https://repo.masters-masters.com/en/repos/ML-GSAI/Scaling-Diffusion-Transformers-muP)

ML-GSAI/Scaling-Diffusion-Transformers-muP has 101 stars on GitHub. Its RepoMasters card: Prototype tier. \[NeurIPS 2025\] Official implementation for our paper…

| Field | Value |
| --- | --- |
| Owner | [ML-GSAI](https://repo.masters-masters.com/en/owners/ML-GSAI) |
| Stars | 101 |
| Forks | 2 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | diffusion-models, mup, scaling, diffusion-transformer, image-generation, hyperparameter-tuning |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ML-GSAI/Scaling-Diffusion-Transformers-muP](https://github.com/ML-GSAI/Scaling-Diffusion-Transformers-muP) |

## Repository

\[NeurIPS 2025\] Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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