Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
Train text-to-image models efficiently by compressing data into a smaller format for faster processing.
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Free · no card · unsubscribe anytimeOfficial 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.
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
Wuerstchen is an open-source project. It is released under the MIT license.
Yes. Wuerstchen is free and open source — you can use, modify and self-host it.
Wuerstchen is available under the MIT license.
Wuerstchen is written mainly in Jupyter Notebook.
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