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Description
To submit a template to the Serverless Patterns Collection, submit an issue with the following information.
IMPORTANT
Patterns are intended to be primarily IaC-focused implementations of 2-4 AWS services, with minimum custom code. They should be commonly used combinations that help developers get started quickly. If you have a utility, demo, or application, submit these to the Serverless Repos Collection instead.
ONLY SUBMIT ONE PATTERN CHANGE PER PR. Multiple patterns or files spanning multiple pattern directories will be automatically rejected.
Patterns may take up to 4-6 weeks to review, test, and merge but there is no SLA and can take significantly longer due to other work the team has.
To learn more about submitting a pattern, read the publishing guidelines page.
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Use the model template located at https://github.com/aws-samples/serverless-patterns/tree/main/_pattern-model to set up a README, template and any associated code.
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THIS PROCESS HAS BEEN SIMPLIFIED. All the information below must be provided in the "example-pattern.json" file cloned from the model **
Note the following information for the model:
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Description (intro.text) should be a 300-500 word explanation of how the pattern works.
This pattern implements a serverless text-to-image generation service using Amazon API Gateway, AWS Lambda and Amazon Bedrock's Nova Canvas model. It provides a REST API endpoint where users can submit text prompts. This invokes a Lambda function containing the request and the function makes a call to Amazon Bedrock's Nova Canvas model to generate an image based on the text description. Once the image is generated, the Lambda function saves it to an S3 bucket and returns this filename to the user through the API Gateway API. -
Resources should like to AWS documentation and AWS blogs related to the post (1-5 maximum).
https://docs.aws.amazon.com/ai/responsible-ai/nova-canvas/overview.html
https://docs.aws.amazon.com/bedrock/latest/userguide/bedrock-runtime_example_bedrock-runtime_InvokeModel_AmazonNovaImageGeneration_section.html
Framework : Terraform
Language : Python 3.11 -
Author bio may include a LinkedIn and/or Twitter reference and a 1-sentence bio.
Name: Archana V
Bio: Solutions Architect at AWS
LinkedIn: https://www.linkedin.com/in/archana-venkat-9b80b7184/
You must ensure that the sections of the model README.md are completed in full.