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Wuerstchen
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Wuerstchen

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

by dome272 · GitHub
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diffusion-modelsefficiencymachine-learningMITJupyter Notebook
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Train text-to-image models efficiently by compressing data into a smaller format for faster processing.

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

Wuerstchen has 555 stars on GitHub. It has been forked 34 times. Wuerstchen is written mainly in Jupyter Notebook. It has been in active development since 2023. Wuerstchen is available under the MIT license. Its main topics are diffusion-models, efficiency, machine-learning, stable-diffusion.

Frequently asked questions

What is Wuerstchen?

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

Is Wuerstchen open source?

Wuerstchen is an open-source project. It is released under the MIT license.

Is Wuerstchen free?

Yes. Wuerstchen is free and open source — you can use, modify and self-host it.

What license does Wuerstchen use?

Wuerstchen is available under the MIT license.

What language is Wuerstchen written in?

Wuerstchen is written mainly in Jupyter Notebook.

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