Yeah, I wanted to stress that the categorizations seem more to me to be symptomatic than a reflection of OP's decision making. I loathe the label "problematic",

Yeah, I wanted to stress that the categorizations seem more to me to be symptomatic than a reflection of OP's decision making. I loathe the label "problematic", but it seemed worth noting a potentially unintended consequence that could introduce some harms. That said, it might be too early to speculate on models trained on the outputs of other models. This algorithm seems to benefit greatly from the post-DALLE 2 art-gen renaissance, but still has a number of oddities and uncanny outputs (noted in the rest of this thread) that I imagine are nearly unavoidable given how familiar the human form is. But certainly, if such decisions end up amplified in later work, or through widespread usage, then the consequences are more significant than, say, simply reflecting uncritically a skewed data set.