I was under the impression that generating images where both dimensions were larger than 512 didn't merely require a lot of resources but didn't work well as the model was trained exclusively on 512 by 512 images and while it sort of worked ok to stretch one dimension a bit you got weird repetitions by making the overall canvas too large (as this isn't going to generate higher dpi images, merely ones with greater square inches).