This model produces generations of Tips, a character from Pizza Thot by gats/agcats.It was trained on a bunch of random fanart, so it doesn't follow the original artist's style.This model decent at generating her teeth with braces. <code>close-up</code> in particular helps a lot so it's recommended when relevant and/or when inpainting to fix the teeth.Unlike most of my models, this one does not use caption augmentation. This means you MUST use the helper words/captions to get a good result, as they contain much of the training.The main triggers are: <code>t1ps woman, dark twintails, round glasses, blue eyes</code> To add her sharp teeth: <code>t1ps teeth, sharp teeth</code> (this caption also contributes to her looking more accurate)To add her braces: <code>braces</code> (along with t1ps teeth)To add her uniform: <code>pt visor, pt shirt, red shirt, black pants</code> The uniform can be itemized, only use the clothing items you want. The model should also be pretty flexible with regards to clothing.NSFW-specific trained captions: <code>shirt lift, pants pull, penis</code> Recommended negative captions: <code>text, sketch, grayscale, black and white</code> and possibly <code>comic</code> if you want to avoid multiple panels.When it comes to generating her teeth during inpainting, I recommend using <code>close-up</code> along with the main/teeth caption for better results. It might take a few attempts but you'll get a good result if you keep trying. It's pretty decent even without this though.Although not trained on it, you might want <code>freckles</code>, <code>black hair</code>, or <code>dark hair</code> as captions to keep the model on track.Unlike previous versions of the model, this version has a bad habit of putting nonsense text on Tips' clothes, mostly some variation of <code>pt</code> or <code>t1ps</code> due to the trigger words. You can either try to suppress the text or give it real text like "Pizza Thot". I'll try to fix this in later iterations.

Tips (Pizza Thot) (Anima)

Trained on Anima Base v1.0. Just a re-training of the Illustrious dataset.

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