This LoRA is an experiment in translating a 2D animated style into photorealism. Using the structural data of Krea2 animated characters knowledge, I utilized targeted prompt engineering to generate photorealistic variations of the character while maintaining facial stability and feature consistency.

From that generation run, I curated a dataset of roughly 40 images to train this model on Peggy Hill from King of the Hill (1997) who is canonically in her early 40s. This specific version is trained at 1,000 steps, though testing was conducted up to 2,000 steps. Because the source material is a highly stylized 2D cartoon, the measure of success and interpretation of a "realistic" counterpart is inherently subjective. I welcome your feedback and test images!

UPDATE: I'm working a new set of images to use for training to move the character closer to late 30s or early 40s. I've found the best way of changing this is through prompting by using 20-something, 30-something, or 40-something (or older if that's your preference). Those tags will adjust the appearance of the character and will try to post some images of the affects.