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gigagan-pytorch
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gigagan-pytorch

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

by lucidrains · GitHub
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artificial-intelligencedeep-learninggenerative-adversarial-networkMITPython
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Generate high-quality images using advanced AI techniques based on a decade of research in generative models.

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2026-07-202026-08-31
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Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

gigagan-pytorch has 1.9k stars on GitHub. It has been forked 107 times. gigagan-pytorch is written mainly in Python. It has been in active development since 2023. gigagan-pytorch is available under the MIT license. Its main topics are artificial-intelligence, deep-learning, generative-adversarial-network.

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What is gigagan-pytorch?

Implementation of GigaGAN, new SOTA GAN out of Adobe. Culmination of nearly a decade of research into GANs

Is gigagan-pytorch open source?

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

Is gigagan-pytorch free?

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

What license does gigagan-pytorch use?

gigagan-pytorch is available under the MIT license.

What language is gigagan-pytorch written in?

gigagan-pytorch is written mainly in Python.

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