Recently I've been playing around with AI-generated images. This is far less impressive than it may sound: there's a small community on Twitter and elsewhere doing this stuff already, many using scripts and tutorials which mean you don't need any more skill than the ability to log in to Google Colab, type in some keywords and hit execute. The particular AI model I'm using is VQGAN+CLIP. The AI doesn't 'know' anything about anything, to begin with, but (as I understand it) it trains from a huge image dataset drawn from the internet (imagenet_16384 seems to work best for me) and uses the associated text metadata to iteratively generate images which could be described by your keywords. You can also try starting from (or aiming towards) a selected image (which I haven't tried yet). I let them run for 500 iterations which seems to be enough to converge to something stable.
The results are usually almost, but not quite entirely, unlike whatever it is that you have in mind: not so much an uncanny valley as a whole uncanny landscape with uncanny hills, uncanny trees, uncanny streams, and uncanny clouds. (Actually it does very well with clouds.) I've got a thread going on Twitter of mostly aviation-related images; here are some that I find interesting.
The first prompt I tried was 'a phantom airship'. And it's pretty good! Like any good phantom airship, meaning is in the eye of the beholder, but to me that looks something like an airship floating over an impressionistic grand house with trees, mountains and clouds.
...continue reading