I’m going to discuss things that I learned and relearned doing thousands and thousands of AI art image generations with Stable Diffusion over the course of almost half a year. Wow, it’s kind of hard to read the words I just typed.
To re-emphasize what I discussed in part one of this post:
Making Wild Images with Stable Diffusion
Since my last post, I’ve been indulging in generating thousands and thousands of Stable Diffusion images with…
(That has some points and resources that I’ll be glossing over here.)
I love images that look like they come from a story — maybe straight from a movie scene or a book cover illustration. When I was a kid, I spent hours pouring over Frazetta, Michael Whelan, and The Brothers Hildebrandt. I studied those paintings, many of which were illustrations to books I’d never read, and I got to imagine what the story might be based on what the art depicted.
I’ve been going through zoned-out joy triaging all of these images. Many look like pivotal scenes from a story and I just enjoy thinking what might have happened up to that point and what happens next. Nevermind that this is noise pattern being regurgitated into an image based on a bunch of mathematical models and perceived weights. Some of these images I absolutely adore. It’s been relaxing and rewarding and sometimes exciting to go through all of these images.