# Qrange-group/SUR-adapter

<https://repo.masters-masters.com/en/repos/Qrange-group/SUR-adapter>

[Home](https://repo.masters-masters.com/en) › [Qrange-group](https://repo.masters-masters.com/en/owners/Qrange-group) › [SUR-adapter](https://repo.masters-masters.com/en/repos/Qrange-group/SUR-adapter)

Qrange-group/SUR-adapter has 120 stars on GitHub. Its RepoMasters card: Prototype tier. ACM MM'23 (oral), SUR-adapter for pre-trained diffusion models can…

| Field | Value |
| --- | --- |
| Owner | [Qrange-group](https://repo.masters-masters.com/en/owners/Qrange-group) |
| Stars | 120 |
| Forks | 1 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2023 |
| Topics | adapter, diffusion-models, image-generation, knowledge-distillation, large-language-models, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [Qrange-group/SUR-adapter](https://github.com/Qrange-group/SUR-adapter) |

## Repository

ACM MM'23 (oral), SUR-adapter for pre-trained diffusion models can acquire the powerful semantic understanding and reasoning capabilities from large language models to build a high-quality textual semantic representation for text-to-image generation.

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.