Curated images would be generated by the model being trained using the same prompt for reg images as for the subject training images (found via clip interrogation, swapping out e. g. "a woman" to my subject's token). Not a big deal though, if you can train the 768x768 model I'll try it out. Can't run it locally and colabs for the 768 model have been unreliable. Might write my own later on if the model trained by you shows good quality.

Edit: probably not much use having the exact same prompt, but I'm thinking something similar to the clip classification of the image(s) + the general style/concept you want to learn. Or do you see some issues with the method I've described?