Learn how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker

This article describes how Amazon Ads created a generative AI-powered image generation capability using Amazon SageMaker. It highlights the advertiser's creative experience and provides an overview of the solution architecture and process flows for model building, deployment, and inferencing.

Specifically, the article covers:

• The advertiser creative experience of using the image generation solution to customize product images with relevant backgrounds and contexts without needing design expertise
• The solution architecture, which leverages various AWS services such as SageMaker, Lambda, Step Functions, Comprehend, Rekognition, S3, and DynamoDB
• The model development and deployment process using SageMaker JumpStart, SageMaker Studio, and Ground Truth for human-in-the-loop model evaluation
• The inference process, involving API Gateway, Lambda, Step Functions, and other AWS services to generate and deliver customized images based on advertiser inputs
• Conclusion and lessons learned from building this generative AI solution on AWS