Generate and manipulate images using advanced autoencoder techniques in Jupyter notebooks.
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Free · no card · unsubscribe anytimeOfficial implementation of Diffusion Autoencoders
diffae has 969 stars on GitHub. It has been forked 159 times. diffae is written mainly in Jupyter Notebook. It has been in active development since 2022. diffae is available under the MIT license. Its main topics are autoencoder, cvpr2022, deep-learning, diffusion-models.
What is diffae?
Official implementation of Diffusion Autoencoders
Is diffae open source?
diffae is an open-source project. It is released under the MIT license.
Is diffae free?
Yes. diffae is free and open source — you can use, modify and self-host it.
What license does diffae use?
diffae is available under the MIT license.
What language is diffae written in?
diffae is written mainly in Jupyter Notebook.
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