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They behave quite poorly, because the keywords used by the models are layman language not technical art or color correction/color grading-speak

Hopefully in a couple of years when things have matured more there will be more models capable of handling said requests

The most precise models are actually anime models because the users have got high standards for telling the machine what they expect of it and the databases are quite well annotated (booru tags)

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When I was training Dreambooth on images of myself, then trying to get tags out of the images it generated of me to write better prompts, I clicked “booru tags” on automatic1111 not knowing what it was. It thought I was some sort of Yaoi manga and generated lots of tags that made me both uncomfortable and confused.

Around how many samples are required for an effective training set?

Leonardo.ai can probably make a model that handles one of those prompts well with 40 images.

To handle them all you would need a larger sample.

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