just to end of the spectrum in your color space so so that is somewhat puzzling like what what is this actually doing like if if it can generate this diverse samples then that means it's not optimizing its cycle gain loss well but it is optimizing its cycle gain loss as well so the very interesting thing here is that cycle again when you go from a high dimension like a high entropy mapping like RGB images to a low entropy one like a semantic mask it can actually hide information in some kind of high frequency pattern so this is what we are