figma
trained on 5,746 images scraped from goodsmile's international catalogue, including the discontinued products. all images were tagged with figma
first and the product name with figma
stripped out second, so an image from a product named "figma Hatsune Miku" would be tagged figma, hatsune miku
. all other tags came from the wd1.4 tagger. 3d
and realistic
tags seem to work well with it.
the alpha16 version is better at generalizing, while the 7e-5 version is better at capturing the figure-with-transparent-stand look.