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.
Short Square Morph Videos
mush2dna
CEB 0
AZH 0
Music Videos
(demo) ghoti - Towards Holier Places
Files & source
Original files, including the article source. Download all files (ZIP) or browse the source and history.
3 files
- cade-brown-magma-ai-2021.pdf (2.4 MB)
- machine-god.webp (372.2 KB)
- vqgan-clip.mdx (1.7 KB)