Lily AI
The semantic glue between product attributes and consumer search intent for enterprise retail.
AI-powered fashion model swapping and apparel visualization for e-commerce growth.
OnModel is a specialized generative AI platform designed for the e-commerce fashion sector, specifically engineered to automate the production of professional apparel photography. By leveraging advanced Diffusion Models and Latent Space manipulation, OnModel allows merchants to swap real-world models in product photos with AI-generated personas, or convert flat-lay/ghost-mannequin photography into realistic lifestyle images featuring diverse human models. As of 2026, its technical architecture has evolved to handle sophisticated texture-mapping, ensuring that clothing drapes and fabrics maintain 99.9% fidelity to the physical product while changing the model's ethnicity, age, and facial expressions. This significantly reduces the overhead costs of traditional studio photography (models, photographers, post-production) and accelerates time-to-market for fashion retailers. Positioned as a mission-critical tool for globalized retail, OnModel provides localized visual content across different demographics without requiring multiple photo shoots. It integrates natively with Shopify and offers an API for headless commerce implementations, making it a scalable solution for both boutique brands and enterprise-level marketplaces looking to optimize conversion rates through inclusive and varied imagery.
A proprietary layer that isolates garment textures to prevent 'AI blurring' on intricate patterns like lace or knitwear.
The semantic glue between product attributes and consumer search intent for enterprise retail.
The All-in-One AI Marketing Platform for E-commerce Growth and Content Automation.
Transforming legacy open-source e-commerce into autonomous AI-driven storefronts.
The lightweight, high-performance AI engine for rapid e-commerce deployment.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmic generation of unique human faces and body types across 15+ ethnic categories.
Uses depth-mapping to understand the 3D volume of a garment from a flat mannequin photo and wrap it onto a virtual human.
Parallel processing of images using cloud-based GPU clusters.
Generates shadows and lighting on the garment that match the selected background environment.
Allows the user to lock a specific AI-generated face across different outfits.
In-app editor for manual masking and localized image regeneration.
A US-based brand wants to launch in Japan but only has photos of Caucasian models.
Registry Updated:2/7/2026
Budget constraints prevent a startup from hiring a professional model and photographer for 50 SKUs.
Uncertainty about which model demographic resonates best with the target audience.