Walk-in, caught, watched.

This model generates images of "walk-in" situations, often depicting surprised or interested reactions. It was trained on images containing doors and performs best with "POV" prompts, although it may require specific negative prompts to avoid unwanted outcomes like "fucktrains." Higher LORA strength results in darker images.

Walk-in, caught, watched. Walk-in, caught (by Fire_Keeper)