
Amazon SageMaker enables advertising agencies to generate diverse, brand-consistent ad creatives using generative AI and Stable Diffusion with ControlNet, allowing businesses to produce marketing content faster and at lower cost while maintaining privacy and scalability.


<div><p>This article demonstrates how to use generative AI and Amazon SageMaker to create ad creatives by generating new images from existing brand assets using Stable Diffusion and ControlNet.</p><ul><li>Stable Diffusion text-to-image model generates new images based on text prompts and control images</li><li>ControlNet techniques (Canny, Depth, HED, Scribble) preserve product shape while enabling creative variations</li><li>SageMaker endpoints provide scalable, secure deployment with GPU instance flexibility</li><li>Computer vision preprocessing converts original images to monotone control images</li><li>Solution stores assets in S3, maintains privacy, and integrates with AWS services</li><li>Supports generating diverse car colors, backgrounds, and perspectives while maintaining brand identity</li></ul><p>This approach enables marketing agencies to rapidly produce cost-effective ad creatives at scale while maintaining security and brand consistency.</p></div>


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