If you’re in the AI space, specifically generative models, you owe a great deal of respect to VQGAN and CLIP. When combined, they can be used to iteratively refine images to more closely match a prompt.
These are some results from recent work on generating art using machine learning and artificial intelligence. Most of the following are using VQGAN+CLIP, or just CLIP alone.
I gave a presentation at UTK’s Innovative Computing Laboratory (ICL) that describes some of these processes.