StableVITON is a virtual try-on system using latent diffusion models to warp and composite clothing onto a person image while maintaining semantic correspondence. It leverages pretrained diffusion models, semantic correspondence estimation, and inpainting techniques to generate realistic try-on results. The repository includes full training and inference code along with model checkpoints for the VITON-HD dataset.