If you want to try to train a StyleGan for instance with image sizes of 1024 to acceptable quality, you need either a lot of GPUs or a lot of time, or both.
That's an oddly specific example, because I was in fact training my own StyleGAN and using it to sell T-Shirts around 2018 as indivicia.com . A GTX 1080 TI was good enough for 300 DPI A4 prints (roughly 3500px on the longer edge) and I just trained a regular low-res StyleGAN model and then a styled 4x upscaler. Execution was hand-coded multicore C++ and took about a second per user upload.
Very cool usage of StyleGan! I think it’s a great idea but maybe allow poster prints? I wouldn’t put a lot of these on a shirt but family pics or nature photos would be nice to have styleized.
But back to my original point: training stylegan takes a lot of resources at higher resolutions. For something like thispersondoesnotexist on stylegan 3 you not only need to have lots of quality data, you also need many cards for many days.
