You talk as if a combination of the training space and user input can't be novel. There are a finite number of colors and textures, so if your data set has goo

You talk as if a combination of the training space and user input can't be novel. There are a finite number of colors and textures, so if your data set has good coverage (and your model splits hue and luminosity) you could conceivably cover nearly the entire space. That would leave the shape as the differentiator of novelty.