# SHI-Labs/StyleNAT

<https://repo.masters-masters.com/en/repos/SHI-Labs/StyleNAT>

[Home](https://repo.masters-masters.com/en) › [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) › [StyleNAT](https://repo.masters-masters.com/en/repos/SHI-Labs/StyleNAT)

SHI-Labs/StyleNAT has 102 stars on GitHub. Its RepoMasters card: Prototype tier. New flexible and efficient image generation framework that sets new SOTA on…

| Field | Value |
| --- | --- |
| Owner | [SHI-Labs](https://repo.masters-masters.com/en/owners/SHI-Labs) |
| Stars | 102 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | gan, image-generation, neighborhood-attention |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [SHI-Labs/StyleNAT](https://github.com/SHI-Labs/StyleNAT) |

## Repository

New flexible and efficient image generation framework that sets new SOTA on FFHQ-256 with FID 2.05, 2022

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

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