# dome272/Wuerstchen

<https://repo.masters-masters.com/en/repos/dome272/Wuerstchen>

[Home](https://repo.masters-masters.com/en) › [dome272](https://repo.masters-masters.com/en/owners/dome272) › [Wuerstchen](https://repo.masters-masters.com/en/repos/dome272/Wuerstchen)

dome272/Wuerstchen has 552 stars on GitHub. Its RepoMasters card: Alpha tier. Official implementation of Würstchen: Efficient Pretraining of Text-to-Image…

| Field | Value |
| --- | --- |
| Owner | [dome272](https://repo.masters-masters.com/en/owners/dome272) |
| Stars | 552 |
| Forks | 33 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2023 |
| Topics | diffusion-models, efficiency, machine-learning, stable-diffusion |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [dome272/Wuerstchen](https://github.com/dome272/Wuerstchen) |

## Repository

Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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