(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)
First attempt, never trained a model before.
1. 재게시된 모델의 권리는 원 제작자에게 있습니다.
2. 모델 원작자가 모델을 인증받으려면 공식 채널을 통해 SeaArt.AI 직원에게 문의하세요. 저희는 모든 창작자의 권리를 보호하기 위해 노력합니다. 인증하러 이동
