This model was trained on 4k images where hoses are inserted in the mouth or butt. Naturally it has lots of inflation related content in the dataset, but the main purpose is to make hose insertion more reliable in SDXL.This dataset was extracted from the Hyperfusion dataset, so the tagging will be similar. Primarily use "hose in mouth", "hose in butt", or "holding hose"
