# lucidrains/mmdit

<https://repo.masters-masters.com/en/repos/lucidrains/mmdit>

[Home](https://repo.masters-masters.com/en) › [lucidrains](https://repo.masters-masters.com/en/owners/lucidrains) › [mmdit](https://repo.masters-masters.com/en/repos/lucidrains/mmdit)

lucidrains/mmdit has 563 stars on GitHub. Its RepoMasters card: Alpha tier. Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in…

| Field | Value |
| --- | --- |
| Owner | [lucidrains](https://repo.masters-masters.com/en/owners/lucidrains) |
| Stars | 563 |
| Forks | 18 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | artificial-intelligence, attention-mechanisms, deep-learning, multi-modal-attention |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [lucidrains/mmdit](https://github.com/lucidrains/mmdit) |

## Repository

Implementation of a single layer of the MMDiT, proposed in Stable Diffusion 3, in Pytorch

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

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