re: gan, I don't have a good link offhand atm, but common GANs have
   been usually:
   - image-based
   - pretrained to handle a single category of image
   - provide a random, new image among that category by default
   there are lists of them out there.  image gan tech is still developing
   but produces high quality results.
   the gan concept can of course be applied to anything else other than an
   image category if the work is done.  you can train a gan on your home
   computer.