CatVTON is a virtual try-on technology based on a diffusion model, featuring a lightweight network (total of 899.06M parameters), parameter-efficient training (49.57M trainable parameters), and simplified inference (less than 8G VRAM at 1024X768 resolution). By streamlining the network structure and inference process, it achieves quick and effective virtual fitting results, making it particularly suitable for the fashion industry and personalized recommendation scenarios.