Comment by HelloNurse

>I assume that if you feed WFC a large input image, it just thinks of that as a very complex set of rules that are harder to satisfy than those of a small input?

Since the input is shredded into a multiset of N by M rectangles, it's the opposite: assuming the small input image is a portion of the large one, the large image model adds examples to the ones in the small image model, so the set of cases it can fit an example to is the same or larger.