WaveDiff
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
Generate images quickly and efficiently using a new method that combines different image processing techniques.
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WaveDiff has 440 stars on GitHub. It has been forked 39 times. WaveDiff is written mainly in Python. It has been in active development since 2022. WaveDiff is available under the AGPL-3.0 license. Its main topics are diffusion-models, wavelet-transform.
What is WaveDiff?
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23)
Is WaveDiff open source?
WaveDiff is an open-source project. It is released under the AGPL-3.0 license.
Is WaveDiff free?
Yes. WaveDiff is free and open source — you can use, modify and self-host it. Its AGPL-3.0 license is a strong copyleft: if you distribute a modified version — including offering it as a network service — your changes must be released under the same license.
What license does WaveDiff use?
WaveDiff is available under the AGPL-3.0 license.
What language is WaveDiff written in?
WaveDiff is written mainly in Python.
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