CommonDomain: Classic ???????

(Trigger word should be "Proper ???????")

(Given the majority of training data, negative tags of "sepia", "monochrome", and "frames" might be handy)

A first attempt to train a basic human ??????? Lora for SDXL architecture models on Public Domain artwork, especially progressive frame motion studies and posed statues, with a touch of historic photography, painting, drawing, and carved reliefs. Eventually I hope to refine the data set for training with the Common Canvas XL model and original artworks from CC applicable sources and pro-AI artists who've released their works for training. All 359 pictures used here are from online CC-0 and historic Public Domain artworks hosted online by the Met and National Gallery of Art.

(Note so far: Negative weights are really cool)