[nerf0]

Sure! I'm using a network very similar to StyleGAN. After generating a batch, I review the images and weed out maybe 10% of the really bad ones. I was actually surprised at how well it worked.

For training, I spent a lot of time scraping images. I couldn't find any good dataset for this purpose. Controlling for quality is pretty tough, and I didn't spend nearly as much time as I should. And it's evident in the result. Some of the generated arts have pretty low pixel quality if you look at the original image. Luckily, it looks ok on the cards.