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I found this page after a quick google search https://github.com/justinpinkney/awesome-pretrained-stylegan2 but if this one doesn't work there are others. You can also just use StyleGan (v1) and have great results, I'm not sure that the v2 is much better.
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If you can wait around a week or two, Nvidia hopefully will be releasing the official PyTorch port of the NVLabs/stylegan2-ada repository. It has numerous improvements over the original NVLabs/stylegan2 repository and unofficial ports, including the titular adaptive discriminator augmentation, refactored code, and performance optimizations. It is fully compatible with weights from NVLabs/stylegan2, so any weights you find for transfer learning from will work out of the box.
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Sonar
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stylegan2-pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Which gan is the best in my context? I found this new package https://github.com/lucidrains/stylegan2-pytorch that sounds as if it would make things simple. Is it and in particular StyleGan2 appropriate?
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stylegan2-ada
StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
As official as it can be.
