Create super resolution for legacy media content at scale with generative AI and AWS
Media Blog
This article discusses how to create super resolution for legacy media content at scale using generative AI models and AWS services.
Specifically, the article covers:
- Introduction to upscaling legacy media content using AI super resolution techniques
- Proposed architecture leveraging AWS ParallelCluster, Amazon FSx for Lustre, and Amazon SageMaker for performing video upscaling
- Detailed walkthrough of solution components:
- Model deployment using Real-ESRGAN and SwinIR models
- Configuring AWS ParallelCluster with GPU and CPU compute nodes
- Workflow orchestration using AWS Lambda, AWS Step Functions, and custom scripts
- User interface using Gradio for uploading videos and viewing upscaled output
- Demonstration of upscaled video output using the proposed solution
- Cleanup steps to delete the deployed AWS resources
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