[Website demonstrating samples from a modified StyleGAN2 trained on Danbooru2019 using TRCTPUs for ~5m iterations for ~2 months on a TPUv3-32 pod; this modified ‘StyleGAN2-ext’, removes various regularizations which make StyleGAN2 data-efficient on datasets like FFHQ, but hobble its ability to model complicated images, and scales the model up >2×. This is surprisingly effective given StyleGAN’s previous inability to approach BigGAN’s Danbooru2019, and TADNE shows off the entertaining results.