Transforming flat-lay garment images into photos of models wearing the clothes

Designed for fashion retailers, this AI-powered solution transforms flat-lay, hanging, or basic product photos into images of garments worn by realistic virtual models. The system analyzes key garment features—such as cut, neckline, sleeve style, length, and the direction of folds—to naturally drape the clothing onto a model’s body. The resulting images are ready for use in product detail pages, primary product listings, and catalogs. Users can select from various poses (standing, sitting, walking) and framing options (full-body or half-body) tailored to specific garment categories. The technology preserves the original texture, color, and patterns of the clothing while offering a diverse range of body types, skin tones, and hairstyles, allowing for the rapid creation of multiple display images from a single garment and reducing the need for repetitive photoshoots. The output emphasizes realism in critical areas like shoulder lines, waistlines, hems, and pant cuffs. With options for studio, indoor, or minimalist backgrounds—along with support for batch uploading, bulk generation, and standardized sizing—this tool is ideal for fashion teams that frequently launch new collections with a high volume of styles.