Comment by joegibbs

Mostly through trial and error really, I started off getting a bunch of 100m and 10m satellite data then tried a few different methods. First I tried a bunch of ways to do it as a GAN, but there were too many artifacts and it lacked detail every time. Then I did a diffusion model that worked but took minutes to run, then kept distilling it down from 64 steps to 1 step, which looked basically the same as 64 but was fast. All in all it was about $100 to train.