Lily AI
The semantic glue between product attributes and consumer search intent for enterprise retail.
Turn flat-lay apparel into hyper-realistic model photography in seconds.
Fashion AI Expo represents the 2026 frontier of automated e-commerce photography. Utilizing a proprietary ensemble of Latent Diffusion Models (LDMs) and advanced ControlNet architectures, the platform enables apparel brands to transform basic flat-lay or ghost-mannequin photos into high-fidelity lifestyle imagery featuring diverse AI-generated models. The technical infrastructure focuses on 'Texture-Preserving Diffusion,' ensuring that garment details—such as fabric weave, stitch patterns, and exact hex-code colors—remain mathematically consistent while the AI adjusts for realistic lighting, drape, and human body contours. Positioned as a direct replacement for traditional mid-tier commercial photography, the platform offers significant cost reduction by eliminating the need for casting, physical studios, and lengthy post-production. Its 2026 market position is defined by its deep integration with headless commerce platforms via a robust REST API, allowing for real-time visual asset generation as new SKUs are added to a digital catalog. The platform prioritizes inclusivity with over 500+ pre-trained model personas representing a global spectrum of age, ethnicity, and body type, ensuring brands can localize content for global markets instantly.
Uses pixel-level segmentation to isolate garments, ensuring zero distortion of logos or specialized textures during the diffusion process.
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.
Allows the same garment to be applied to multiple model types while maintaining lighting and shadow consistency across a collection.
Predictive drape algorithm that adjusts how a fabric sits based on its weight and elasticity parameters entered by the user.
Auto-generates model variations optimized for specific geographic IP addresses to increase regional conversion rates.
Generates 5-second 3D-parallex video clips of models wearing the garment using temporal consistency AI.
Enterprise-only feature to train a unique AI model based on a brand's specific real-world spokesperson.
Automatically attaches SEO-optimized alt-text and garment metadata to generated images during export.
A brand has 200 new SKUs but no time or budget for a physical photoshoot before the season starts.
Registry Updated:2/7/2026
Marketing team needs to know if an older or younger demographic responds better to a specific dress style.
A European brand wants to launch in Japan with relatable localized imagery.