# Schuture/Benchmarking-Awesome-Diffusion-Models

<https://repo.masters-masters.com/en/repos/Schuture/Benchmarking-Awesome-Diffusion-Models>

[Home](https://repo.masters-masters.com/en) › [Schuture](https://repo.masters-masters.com/en/owners/Schuture) › [Benchmarking-Awesome-Diffusion-Models](https://repo.masters-masters.com/en/repos/Schuture/Benchmarking-Awesome-Diffusion-Models)

Schuture/Benchmarking-Awesome-Diffusion-Models has 133 stars on GitHub. Its RepoMasters card: Prototype tier. The benchmark of SOTA text-to-image diffusion…

| Field | Value |
| --- | --- |
| Owner | [Schuture](https://repo.masters-masters.com/en/owners/Schuture) |
| Stars | 133 |
| Forks | 3 |
| Language | No language |
| License | None |
| Created | 2023 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Schuture/Benchmarking-Awesome-Diffusion-Models](https://github.com/Schuture/Benchmarking-Awesome-Diffusion-Models) |

## Repository

The benchmark of SOTA text-to-image diffusion models with a new benchmarking strategy based on MiniGPT-4, namely X-IQE.

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.