Please read the version details for updates, thank you."I like girls that are like little parade floats" - AnonymousProduces girls with a body that looks like a hyper bastardization of the venus bodytype, enlarging it and thickening it to the extreme, while taking care of keeping the overall hourglass shape. While the girls it creates are beyond a doubt overweight, it attempts to avoid excessive fat rolls, giving the impression that the midsection is larger as the foundation for the much larger top and bottom halves of the body, rather than being conventionally obese.The head is smaller as a shorthand for making the generated girls look truly massive. Because of this, the faces can look shoddy unless the angle allows a closer view of it (such as with high angular shots, cowboy shots), in which case it is recommended to lower the weight when upscaling.In general, this model can also help you if you enjoy gigantic breasts, asses AND bellies, but you struggle generating all three in a single picture.This model was created using Prodigy, a dataset built on roughly 95% AI pictures generated with earlier versions, and most notably, no tagging whatsoever, as an experiment. Therefore no specific keyword is needed, only guiding it towards the desired shape through thickness tags. I listed a handful of those as the trigger words, even though the model hasn't been trained on them, for your convenience.Muscular girls with this body shape (strongfats) can also be made, my go-to method for those besides adding muscle tags is to also include "abs" in negatives. Be advised that muscle and tone is correlated with slimness so they might compromise upper size.Also mind that backgrounds fight for space with the character so you might find it easier to create a bigger character in an (unprompted for) simple background than on an specific location.

Jumbo Venus XL (PonyV6+Illu+Noob)

Aimed to improve the finish of the lora. I attempted to reduce face scuffing and remove artifacts like stray or strange fat folds, double navels, misplaced legs, etc, by fixing the dataset.

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