# AMD-AGI/Nitro-E

<https://repo.masters-masters.com/en/repos/AMD-AGI/Nitro-E>

[Home](https://repo.masters-masters.com/en) › [AMD-AGI](https://repo.masters-masters.com/en/owners/AMD-AGI) › [Nitro-E](https://repo.masters-masters.com/en/repos/AMD-AGI/Nitro-E)

AMD-AGI/Nitro-E has 129 stars on GitHub. Its RepoMasters card: Prototype tier. Nitro-E is a family of text-to-image diffusion models focused on highly…

| Field | Value |
| --- | --- |
| Owner | [AMD-AGI](https://repo.masters-masters.com/en/owners/AMD-AGI) |
| Stars | 129 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2025 |
| Topics | diffusion, image-generation, light-weight |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AMD-AGI/Nitro-E](https://github.com/AMD-AGI/Nitro-E) |

## Repository

Nitro-E is a family of text-to-image diffusion models focused on highly efficient training.

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

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- [AMD-AGI/Nitro-1 · ★ 126 · Python · Prototype](https://repo.masters-masters.com/en/repos/AMD-AGI/Nitro-1)

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