FashionAI by XFX
The Enterprise-Grade Generative Render Engine for High-Fidelity 3D Garment Synthesis.
Photorealistic AI Virtual Try-On and Fashion Model Generation for E-commerce Scaling
ClothingAI is a state-of-the-art visual generation platform specifically engineered for the 2026 fashion e-commerce landscape. It utilizes advanced Latent Diffusion Models (LDM) combined with proprietary garment-preservation algorithms (similar to VITON-HD architectures) to enable photorealistic virtual try-ons. By decoupling the garment from the original photo, ClothingAI allows brands to map clothing onto a diverse library of AI-generated models, varying in ethnicity, body shape, and age. This technical stack eliminates the need for expensive physical photo shoots, reducing time-to-market from weeks to minutes. As of 2026, the tool has expanded its capabilities into 'Pose-Controllable' generation, where users can define specific model stances using OpenPose-based controllers. The platform is positioned as a mission-critical tool for mid-market and enterprise retailers looking to increase conversion rates through inclusive marketing and hyper-personalized shopping experiences. Its infrastructure is optimized for high-throughput API requests, making it suitable for dynamic product detail page (PDP) generation where customers can see themselves in the clothing virtually.
Uses deep feature extraction to ensure logos, textures, and buttons remain geometrically accurate during model mapping.
The Enterprise-Grade Generative Render Engine for High-Fidelity 3D Garment Synthesis.
Architecting the future of e-commerce with high-fidelity AI virtual models and garment visualization.
AI-Driven Virtual Try-On and High-Fidelity Garment Synthesis for Global Retailers
The AI co-creation engine for scaling fashion brands from concept to commerce.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
A proprietary dataset allowing for precise control over BMI, height, and muscularity of the target model.
Automated segmentation of garments from complex backgrounds with 99.8% precision.
Maps the physical properties of fabrics (sheen, transparency, weight) onto the AI model.
Synchronizes the garment's shadows and folds with the skeletal pose of the AI model.
Ability to layer shirts, jackets, and accessories in a single generation session.
Adjustable light sources (Golden Hour, Softbox, Hard Light) applied post-generation.
Customers return items because they can't visualize how they fit on their body type.
Registry Updated:2/7/2026
Increase purchase confidence
High cost and time of seasonal lifestyle shoots.
Difficult to get physical samples to influencers globally in time for launch.