>> Because that implies a kind of cohesive conceptual understanding of a single object, that I didn't think the current architecture was able to model that. It

>> Because that implies a kind of cohesive conceptual understanding of a single object, that I didn't think the current architecture was able to model that. It works because it's all in one image, you still can't get the same consistency across different images. Someone did the same thing with sprite sheets the other day: https://www.reddit.com/r/StableDiffusion/comments/yj1kbi/ive_trained_a_new_model_to_output_pixel_art/ https://www.reddit.com/r/StableDiffusion/comments/yj1kbi/ive... Which again works because you're asking for a single image that is similar to other single images (i.e. other sprite sheets). I thought that was very clever. So I guess the next big thing will be to train on datasets of entire graphic novels where all the pages of each novel are stitched together into "one image". Then we will finally achieve the graphic singularity and comic book artists will have been replaced, too :P