Lily AI
The semantic glue between product attributes and consumer search intent for enterprise retail.
Turn product photos into professional fashion shoots with realistic AI models in seconds.
HumanScene is a specialized generative AI platform designed for the e-commerce and fashion sectors, leveraging advanced latent diffusion models to bridge the gap between flat-lay product photography and professional lifestyle shoots. By 2026, it has positioned itself as a critical infrastructure tool for mid-market retail brands seeking to eliminate the high costs of physical studios, model hiring, and post-production. The technical architecture focuses on high-fidelity 'garment preservation'—a common failure point in general-purpose models like Midjourney—ensuring that textures, stitching, and branding on clothing remain accurate while the AI hallucinates diverse human models and atmospheric environments around them. The platform utilizes custom-trained LoRA weights and ControlNet architectures to provide users with precise control over model ethnicity, age, body type, and posing. This allows brands to perform hyper-localized marketing by generating versioned content for different global demographics from a single original product image. Its 2026 market position is defined by its ability to integrate directly into headless commerce pipelines, offering an API-first approach for automated catalog generation.
Proprietary algorithm that maps the original product texture onto the AI-generated model to prevent fabric distortion.
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.
Uses fixed seeds and character IDs to generate the same AI model in different poses across a collection.
Automatically analyzes the selected background and applies matching shadows and highlights to the product and model.
A toggle-based system to swap model ethnicities while keeping the garment and pose identical.
Integrates OpenPose technology allowing users to upload a reference photo to dictate exactly how the AI model should stand.
Uses computer vision to automatically detect clothing boundaries in flat-lays, removing the need for manual selection.
A generative upscaler that adds missing micro-details (skin pores, fabric weave) during the enlargement process.
Mannequin photos look cheap and don't help customers visualize the fit.
Registry Updated:2/7/2026
A US-based brand wants to sell in Japan but only has photos of Caucasian models.
Marketing teams don't know which environment (beach vs urban) will convert better.