# yuval-alaluf/Attend-and-Excite

<https://repo.masters-masters.com/en/repos/yuval-alaluf/Attend-and-Excite>

[Home](https://repo.masters-masters.com/en) › [yuval-alaluf](https://repo.masters-masters.com/en/owners/yuval-alaluf) › [Attend-and-Excite](https://repo.masters-masters.com/en/repos/yuval-alaluf/Attend-and-Excite)

yuval-alaluf/Attend-and-Excite has 772 stars on GitHub. Its RepoMasters card: Beta tier. Official Implementation for "Attend-and-Excite: Attention-Based…

| Field | Value |
| --- | --- |
| Owner | [yuval-alaluf](https://repo.masters-masters.com/en/owners/yuval-alaluf) |
| Stars | 772 |
| Forks | 62 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | diffusion-models, stable-diffusion, text-to-image |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [yuval-alaluf/Attend-and-Excite](https://github.com/yuval-alaluf/Attend-and-Excite) |

## Repository

Official Implementation for "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models" (SIGGRAPH 2023)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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