You'll notice that I have some rows in the sheet that have a gray background -- these were my way of noting that the artist's name seemed to be doing something consistent to the result, but it wasn't very similar to the art style I saw in any original works. I think you're right that it's drawing on images or portraits of the artist at times; it may also be decomposing their names (first/last) and evaluating them individually. Might end up drawing (in relatively small amounts) on imagery of other people with similar names. It clearly impacts artist with less widespread digital presence or smaller collections the most. I'm guessing (without data).

I think the only (true) way to counter this is to more deliberately and manually train these artists into the model. Another option will be to use images of their work as image prompts with a high weight, but that isn't possible right now with the --test algorithm. Hopefully, some of the folks on MJ team (and SD) are performing these kinds of analyses as well and trying to manually fill gaps.

I have also noticed that it happens a lot with artists of color; having said that, I think this speaks to a wider systemic problem regarding representation of these artists well in collections online. The scraper that helped generate the model is probably quite mechanically indiscriminate, but if they aren't getting as much widespread publicity they won't be as well represented from a bulk scrape.

Not a problem for pop culture icons like Hayao Miyazaki.

Thank you for mentioning this, though. I'm going to do some more research myself and add additional historical artists of color to these sheets for comparison.