Lily AI
The semantic glue between product attributes and consumer search intent for enterprise retail.
Automate high-fidelity e-commerce fashion photography and virtual try-ons with generative neural rendering.
FashionAI Tech represents a leading-edge Generative AI platform specifically architected for the apparel and retail sector. By 2026, the platform has matured its proprietary 'Cloth-Warp Transformer' technology, which enables the seamless mapping of 2D garment images onto high-resolution, AI-generated human models with 99% texture preservation. The technical architecture relies on a fine-tuned Stable Diffusion XL (SDXL) backbone, integrated with ControlNet for precise pose estimation and body-topology consistency. This allows brands to bypass traditional physical photoshoots, reducing content production costs by up to 85%. The system's 2026 market position is defined by its ability to handle complex fabric physics, including lace transparency and heavy knit textures, which were previously bottlenecks in AI fashion. Furthermore, its 'Global Diversity Engine' allows retailers to instantly localize visual assets by adjusting model ethnicity, age, and body type via simple API parameters, ensuring inclusive marketing at scale.
Uses attention mechanisms to map 2D garment pixels to 3D human meshes with physics-aware folding.
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.
Maintains exact facial and body features across different garment swaps for brand consistency.
Deep learning vision model that extracts over 150 fashion attributes (neckline, hem, material) per image.
Neural relighting tool that adjusts garment shadows and highlights based on the selected background environment.
Web-based AR implementation using MediaPipe for real-time garment overlay on user camera feeds.
Integrated LLM that suggests background scenes based on current Instagram and Pinterest fashion trends.
Allows for the modification of garment colors and patterns post-generation via latent space manipulation.
Physical shoots are expensive, require logistics, and limit the number of products that can be showcased.
Registry Updated:2/7/2026
Export high-res files for the product page.
Brands struggle to resonate with different global demographics using a single set of photos.
High cost of producing physical samples for products that may not sell.