Amazon Bedrock is a powerful managed service that allows developers to build and scale generative AI applications without managing infrastructure. Amazon Nova, one of its foundation models, supports video generation, making it a useful tool for businesses that need AI-driven content creation.

In this guide, we will explore how to generate videos using Amazon Nova on Amazon Bedrock with Java. We will cover setup, authentication, API usage, and provide detailed code examples.

Prerequisites

Before diving into the implementation, ensure that you have the following:

• An AWS account with access to Amazon Bedrock.
• AWS SDK for Java installed.
• AWS CLI configured with necessary permissions.
• Java 8 or later installed on your system.
• Basic understanding of Java programming and REST APIs.

Setting Up AWS SDK for Java

To interact with Amazon Bedrock, you need to set up the AWS SDK for Java. If you haven’t installed it, you can do so by adding the following dependency to your Maven pom.xml:

<dependency>
    <groupId>software.amazon.awssdk</groupId>
    <artifactId>bedrock-runtime</artifactId>
    <version>2.20.52</version>
</dependency>

For Gradle users, add this to build.gradle:

dependencies {
    implementation 'software.amazon.awssdk:bedrock-runtime:2.20.52'
}

Configuring AWS Credentials

Ensure that you have configured AWS credentials using the AWS CLI:

aws configure

Provide your AWS Access Key, Secret Key, and the preferred AWS region.

Initializing the Bedrock Client in Java

To interact with Amazon Bedrock, instantiate the AWS SDK Bedrock client:

import software.amazon.awssdk.services.bedrockruntime.BedrockRuntimeClient;
import software.amazon.awssdk.auth.credentials.DefaultCredentialsProvider;
import software.amazon.awssdk.regions.Region;

public class BedrockClientSetup {
    public static BedrockRuntimeClient createClient() {
        return BedrockRuntimeClient.builder()
                .region(Region.US_EAST_1) // Change to your AWS region
                .credentialsProvider(DefaultCredentialsProvider.create())
                .build();
    }
}

Generating Videos with Amazon Nova

Constructing the Video Generation Request

Amazon Nova requires an API request containing parameters like video length, prompt description, resolution, and format. Here’s how you can create a request in Java:

import software.amazon.awssdk.services.bedrockruntime.model.InvokeModelRequest;
import software.amazon.awssdk.services.bedrockruntime.model.InvokeModelResponse;
import software.amazon.awssdk.core.SdkBytes;
import com.fasterxml.jackson.databind.ObjectMapper;
import java.util.HashMap;
import java.util.Map;

public class VideoGenerator {
    public static void main(String[] args) {
        BedrockRuntimeClient bedrockClient = BedrockClientSetup.createClient();
        String prompt = "A futuristic city with flying cars during sunset";
        int duration = 10; // Video duration in seconds
        String resolution = "1920x1080";
        String format = "mp4";

        // Create JSON payload
        Map<String, Object> requestPayload = new HashMap<>();
        requestPayload.put("prompt", prompt);
        requestPayload.put("duration", duration);
        requestPayload.put("resolution", resolution);
        requestPayload.put("format", format);

        try {
            ObjectMapper objectMapper = new ObjectMapper();
            String payloadJson = objectMapper.writeValueAsString(requestPayload);

            InvokeModelRequest request = InvokeModelRequest.builder()
                    .modelId("amazon-nova-video") // Replace with actual model ID
                    .body(SdkBytes.fromUtf8String(payloadJson))
                    .build();

            InvokeModelResponse response = bedrockClient.invokeModel(request);
            String responseBody = response.body().asUtf8String();

            System.out.println("Response: " + responseBody);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

Handling the Response

Once the request is sent, Amazon Nova will generate a video and return a response containing a video URL or an S3 bucket location where the video is stored.

Example response:

{
    "videoUrl": "https://s3.amazonaws.com/your-bucket/generated-video.mp4",
    "metadata": {
        "duration": 10,
        "resolution": "1920x1080",
        "format": "mp4"
    }
}

Downloading the Video

To download the generated video, you can use Java’s HttpURLConnection:

import java.io.*;
import java.net.HttpURLConnection;
import java.net.URL;

public class VideoDownloader {
    public static void downloadVideo(String videoUrl, String savePath) {
        try {
            URL url = new URL(videoUrl);
            HttpURLConnection connection = (HttpURLConnection) url.openConnection();
            connection.setRequestMethod("GET");
            InputStream inputStream = connection.getInputStream();
            FileOutputStream outputStream = new FileOutputStream(savePath);
            
            byte[] buffer = new byte[1024];
            int bytesRead;
            while ((bytesRead = inputStream.read(buffer)) != -1) {
                outputStream.write(buffer, 0, bytesRead);
            }
            
            outputStream.close();
            inputStream.close();
            System.out.println("Video downloaded successfully at " + savePath);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    public static void main(String[] args) {
        String videoUrl = "https://s3.amazonaws.com/your-bucket/generated-video.mp4";
        String savePath = "generated_video.mp4";
        downloadVideo(videoUrl, savePath);
    }
}

Conclusion

Amazon Nova on Amazon Bedrock provides a seamless way to generate videos using AI with Java. By leveraging AWS SDK, you can integrate video generation into your applications efficiently. This allows businesses and developers to automate content creation, reduce production costs, and enhance user experiences through AI-generated videos.

This approach is particularly useful for industries such as entertainment, advertising, gaming, and e-learning, where AI-generated media can help produce high-quality content rapidly. With scalability and cloud-based AI processing, Amazon Bedrock ensures that businesses can generate and manage videos dynamically without needing expensive in-house infrastructure.

As AI continues to evolve, the capabilities of Amazon Nova and similar generative AI models will expand, providing even more sophisticated video generation features. Integrating these technologies early on allows businesses to stay ahead in an increasingly competitive digital landscape.

By following this guide, developers can quickly set up a pipeline for generating AI-powered videos, customizing them for various applications and industries. The power of AI video generation is now accessible to everyone, and with AWS Bedrock, you have the flexibility to scale as needed.