I learned everything I know about stylegan (prior to experimenting myself) from this channel: https://www.youtube.com/c/ArtificialImages/videos https://www.yout

I learned everything I know about stylegan (prior to experimenting myself) from this channel: https://www.youtube.com/c/ArtificialImages/videos https://www.youtube.com/c/ArtificialImages/videos For stylegan this playlist was useful: https://www.youtube.com/playlist?list=PLWuCzxqIpJs8ViuBIUtAk-dsAtdrApYoy https://www.youtube.com/playlist?list=PLWuCzxqIpJs8ViuBIUtAk... (in particular this video https://www.youtube.com/watch?v=KxXqCsl-z2k&list=PLWuCzxqIpJs8ViuBIUtAk-dsAtdrApYoy https://www.youtube.com/watch?v=KxXqCsl-z2k&list=PLWuCzxqIpJ...). Or just go straight to this colab: https://colab.research.google.com/github/dvschultz/stylegan2-ada-pytorch/blob/main/SG2_ADA_PyTorch.ipynb https://colab.research.google.com/github/dvschultz/stylegan2... I'd recommend sticking with stylegan2 for the moment though since it's much easier (cheaper time/computation wise) to transfer from (and the result is about the same - in fact better at the same time and computation budget).