aws-samples/generative-ai-demo-using-amazon-sagemaker-jumpstart-kr
This project shows the demos about how to generate stable diffusion images using AWS SageMaker Jumpstat.
This project helps create personalized digital garden images that reflect a user's emotions and external weather conditions. By analyzing user expressions and integrating with environmental sensors, it generates unique garden visuals. This is ideal for experiential marketers, event organizers, or digital artists looking to create interactive, emotionally responsive visual displays.
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Use this if you want to build an interactive experience that generates dynamic, personalized images based on user emotions and real-world environmental data.
Not ideal if you need a simple image generation tool without integrating real-time emotional and environmental input.
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Language
JavaScript
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MIT-0
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Last pushed
Apr 12, 2024
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