@remenca Making a good fake copy of a painting is also extremely complicated, but that is not the point. The point is that procedural generation doesn't depend on artists' data used without their consent (nor it requires humongous amounts of energy to create), and the argument of it being hard refers to the creative aspect of it. You have to *create* procedural art intentionally. The effort of replicating existing art is not relevant. The only "creative" things coming from generative models is just novel ways of mixing existing stuff up, which can be done at a fraction of the cost by commissioning an artist. That is, if you care about creativity and quality, of course.
@starsider
You response is inaccurate. You can use CC0'd data to train your model, you can do it using your own gaming GPU, without incurring in more energy cost than gaming which is a socially accepted practice. And then, if you manage to train the network then there is all the difficulty involved with prompting until the network finally spits an imagine you are satisfied with.