The Noob version (trained on NoobAI-XL (NAI-XL) 1.0)
Be advised, unsuspected/unwanted behaviour and weird results may happen.
1) Due to the nature of the dataset, a fat belly with thin legs often occurs. You can try to "fix" that by putting "fat, belly" in the negative.
2) Sometimes "fupa2" does not trigger the desired effect. If so, add "fat mons" as well.
3) Sometimes the model may force a "head out of frame" situation. Should be fairly easy to circumvent.
4) The example images were picked out of several generations. Meaning, I didn't hit generate -> BaM! -> great result -> 😀. I made several and picked out of a small group. This means that either I was too picky, too blind, or this model isn't perfect. There is your game of "two truths and a lie" for the day.
Other than all this, Lyco should work well on Noob based models. Example images were done with the amazing NTR mix.
