Generating Images with Amazon Bedrock

Introduction

Amazon Bedrock is a powerful AI service that enables developers to generate text and images using foundation models. This guide walks through the implementation of an API and a simple UI to generate images using Amazon Bedrock.

Development

Prerequisites

Before starting, ensure you have.

• Node.js 18+
• AWS IAM permissions (AmazonBedrockFullAccess)
• Access to available Bedrock foundation models (FMs)

In order to make sure you have been granted access to the Amazon models, go to Amazon Bedrock / Request model access. Choose the models from the Amazon tab and follow the steps in the wizard to save the configuration.

Clone this GitHub repository.

In the .env file, paste your AWS credentials.

AWS_REGION=your-region
AWS_ACCESS_KEY=your-access-key
AWS_SECRET_KEY=your-secret-key

In the API/src/index.ts file, you can modify the existing configuration to generate the images.

You can find documentation about it in the links below.

• Amazon Titan Image Generator G1 models overview
• Amazon Titan Image Generator G1 models

const input = {
  contentType: "application/json",
  accept: "*/*",
  modelId: "amazon.titan-image-generator-v2:0",
  body: JSON.stringify({
    taskType: "TEXT_IMAGE",
    textToImageParams: { text: prompt },
    imageGenerationConfig: {
      numberOfImages: 1,
      quality: "standard",
      cfgScale: 8.0,
      height: 512,
      width: 512,
      seed: 0,
    },
  }),
};

To test the demo. Run npx ts-node src/index.ts from the API folder, and npm run dev from UI.

Here are some examples of the images generated and their prompts.

Conclusion

Amazon Bedrock provides a scalable and efficient way to generate images using advanced AI models. By integrating it with Node.js and React, developers can quickly build applications with AI-powered image generation capabilities. With further enhancements, such as fine-tuning models or expanding UI functionalities, this solution can be adapted to various creative and business needs.

Thanks for reading

Thank you very much for reading. I hope you found this article interesting and may be useful in the future. If you have any questions or ideas you need to discuss, it will be a pleasure to collaborate and exchange knowledge.