Virtual Try On lets shoppers and retailers create realistic, personalized previews of apparel, accessories, and jewelry on real bodies or model templates. Using image-to-image inputs (photos or camera feeds) the model maps garments to body shape, posture, and movements, producing natural overlays and simulated fabric drape. Users can upload their own photos for accurate personal fit visualizations, apply items to model templates for fast catalog staging, or enable live AR try-ons for interactive sessions. Retailers benefit from faster product launches and lower marketing costs because the model reduces dependency on physical samples and photoshoots. Shoppers get higher confidence in sizing and style — which drives conversion and reduces return rates. Typical use cases include online product pages, virtual fitting rooms, social media lookbooks, and interactive marketing assets. The model supports quick, user-friendly workflows: upload an image or pick a template, adjust fit and pose, and generate shareable try-on images or live overlays. What makes this model special is its balance of realism, speed, and accessibility. It simulates material behavior to reflect how garments hang and move, adapts to varied body types and clothing styles, and runs across devices and platforms for broad reach. Practical considerations are addressed too: recommend good-quality input photos for best results, manage privacy for user images, and note that highly complex layered garments may have limitations in perfect realism. Overall, Virtual Try On empowers e-commerce teams, marketers, and shoppers to visualize products more effectively, cut costs, and improve customer satisfaction by making fit and style decisions easier and more reliable.