Building a scalable virtual try-on solution using Amazon Nova on AWS: part 1

This article explains how to build a scalable virtual try-on solution using Amazon Nova Canvas on AWS to reduce fashion returns in retail.

• Online fashion returns cost retailers $890 billion annually; poor fit is top reason
• Amazon Nova Canvas uses two 2D images to generate realistic virtual try-on results
• Solution preserves garment details like logos, textures, and patterns accurately
• Serverless architecture uses Lambda, DynamoDB, Step Functions, and API Gateway
• DynamoDB Streams trigger asynchronous processing workflows for try-on generation
• WebSocket connections provide real-time status updates to customers
• Process completes in 7-11 seconds with automatic mask generation and pose detection
• Supports multiple garment classes: upper body, lower body, footwear, full body
• Can be deployed across ecommerce sites, mobile apps, kiosks, and social platforms
• GitHub sample and solution guidance provided for quick implementation

Virtual try-on technology helps retailers reduce returns while maintaining customer satisfaction through accurate product visualization integrated into existing shopping channels.