# Fanghua-Yu/SUPIR

<https://repo.masters-masters.com/en/repos/Fanghua-Yu/SUPIR>

[Home](https://repo.masters-masters.com/en) › [Fanghua-Yu](https://repo.masters-masters.com/en/owners/Fanghua-Yu) › [SUPIR](https://repo.masters-masters.com/en/repos/Fanghua-Yu/SUPIR)

Fanghua-Yu/SUPIR has 5,691 stars on GitHub. Its RepoMasters card: Stable tier. SUPIR aims at developing Practical Algorithms for Photo-Realistic Image…

| Field | Value |
| --- | --- |
| Owner | [Fanghua-Yu](https://repo.masters-masters.com/en/owners/Fanghua-Yu) |
| Stars | 5,691 |
| Forks | 479 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2023 |
| Topics | deep-learning, diffusion-models, llava, sdxl, stable-diffusion, super-resolution, restoration, pytorch, pytorch-lightning |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [Fanghua-Yu/SUPIR](https://github.com/Fanghua-Yu/SUPIR) |

## Repository

SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild. Our new online demo is also released at suppixel.ai.

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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