[astrange]

Using Colab isn't that bad - you can figure it out with some basic Python at worst, assuming their notebook extracts faces automatically.

I wish these tools would work with StyleGAN3; the earlier versions have some obvious artifacts where eyes/nose/mouth look 2D/"pasted on" even if the face is at an angle. Also, you can see in the examples here that the hair style editing is not good.

[ArtWomb]

If StyleGAN3 is just StyleGAN with anti-aliasing, I feel there should be post-processing effect pass to smooth discontinuities. Lots of commercial 2D image filters in the wild exhibit pixel artifacts. And a simple averaging blur is enough to compensate. I wonder if there is something equivalent ;)

[astrange]

It is anti-aliased StyleGAN, but the anti-aliasing happens in the latent space inside the network (on concepts rather than pixels, sort of.)

I forget how it works exactly, but it causes the image to look more like it's made of flat textures.