overview.
Built Boutique-To-Box, an end-to-end fashion ecosystem using GPT-4 for style analysis, StyleGAN2 for fabric patterns, and Three.js for real-time 3D preview. Integrates with Printful API for on-demand manufacturing across 18 global print hubs.
about.
Boutique-To-Box transforms the fashion design pipeline from concept to production. Designers describe their vision using natural language, GPT-4 analyzes the style, StyleGAN2 generates fabric patterns, and Three.js provides a 3D body-aware preview. Approved designs are sent directly to Printful for manufacturing and global delivery.
technical implementation.
AI Pipeline Architecture
Built a multi-stage AI pipeline: GPT-4 for style understanding, StyleGAN2 for pattern generation, and Three.js for 3D visualization. Each stage feeds into the next, transforming text descriptions into producible designs.
Manufacturing Integration
Integrated Printful API for automated order routing to 18 global print hubs. Combined with Mapbox for geo-distributed production, achieving 18-hour global delivery times.
key features.
- GPT-4 powered style analysis from natural language descriptions
- StyleGAN2 fabric pattern generation
- Three.js real-time 3D body-aware preview
- Printful API integration for on-demand manufacturing
- Mapbox store locator for global print hubs
- Google Trends integration for trend forecasting
screenshots.
AI-powered style analysis and pattern generation.
Real-time 3D body-aware design preview.
challenges & solutions.
Challenge: Generating production-ready fashion designs from text descriptions
Solution: Fine-tuned GPT-4 prompts for fashion-specific terminology and combined with StyleGAN2 for pattern generation. Added human-in-the-loop review before manufacturing.
Challenge: Real-time 3D preview with body-aware fitting
Solution: Used Three.js with parametric body models to render designs on different body types. Implemented WebSocket-based live updates for instant preview as designers iterate.