Skip to main content

Media & Entertainment

Generative AI
A blank white image.

NAB SHOW 2025 Demo Showcase

Create. Connect. Captivate.

Character consistent storyboard

Generative AI has demonstrated remarkable improvements in content generation capabilities, featuring enhanced precision, higher resolution outputs, video generation, and automated creative workflows. However, enterprises have been hesitant to fully embrace this technology for creative ideation and content generation due to several challenges: low generation efficiency for style and character consistency, multi-character coherence issues, and concerns about IP compliance and control. To address these challenges, we have developed a framework to fine-tune foundation models on customer IP in a scalable and efficient manner. This solution enables customers to effectively and safely utilize their IP content for storyboard creation, significantly reducing the time from ideation to concept. Through this demo, you will see the results achieved with a customized Amazon Nova Canvas Model and illustrate how organizations can leverage AWS services to enhance their creative efficiency.

Architecture

Character consistent storyboard Slide 1

Click image to zoom 🔍

AWS architecture diagram illustrating a process for creating a fine-tuned image generation model using services like Amazon S3, Elastic Container Service, Rekognition, Nova, Bedrock, and SageMaker AI.

Character consistent storyboard Slide 2

Click image to zoom 🔍

Diagram of an AWS reference architecture for a character-consistent storyboard application using generative AI, showing user interaction with AWS services like S3, CloudFront, Cognito, API Gateway, DynamoDB, Lambda, and Nova for generating story prompts and scenes.

Related Content

Image and video prompt engineering for Amazon Nova Canvas and Amazon Nova Reel →

Learn more

Unleashing Stability AI’s most advanced text-to-image models for media, marketing and advertising: Revolutionizing creative workflows →

Learn more

Meet with an AWS for M&E specialist

Contact us to learn more
Silhouettes of people and cameras in a studio with a large screen displaying graphs and data in the background, illuminated by purple and pink lighting.

Disclaimer

References to third-party services or organizations on this page do not imply an endorsement, sponsorship, or affiliation between Amazon or AWS and the third party. Guidance from AWS is a technical starting point, and you can customize your integration with third-party services when you deploy them.

The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.