[D] StyleGAN3: Overview, Tutorial, and Pre-Trained Model

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • stylegan3-fun

    Modifications of the official PyTorch implementation of StyleGAN3. Let's easily generate images and videos with StyleGAN2/2-ADA/3!

    I'm not OP, but if you want to play around with SG3, I'd recommend you to use this version of it.

  • awesome-pretrained-stylegan3

    A collection of pretrained models for StyleGAN3

    I would keep eyes on this repo for pretrained stylegan3 models (especially the non-face ones): https://github.com/justinpinkney/awesome-pretrained-stylegan3

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • stylegan3

    Official PyTorch implementation of StyleGAN3 (by dvschultz)

    Another good community repo that adds some useful features is from Derrick Schultz: https://github.com/dvschultz/stylegan3 (in general I'd also recommend his youtube channel for lots of tips on training and dealing with StyleGAN).

  • StyleGAN-nada

    As for usage on non-face images most of NVidia's pre-trained models were face based (animal, humans, and paintings). Which was the aim of releasing our WikiArt model so the community would have something that could generate a greater variety of images. However these models are still constrained to the dataset that they were trained on. So without some tricks you can't generate "novel" images (like mashups of different objects)

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