Created
February 12, 2025 23:25
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Generate a video using Luma AI Ray2 with the Amazon Bedrock start_async_invoke call.
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# Get AWS Account | |
# Enable access to Luma AI Ray2 in Bedrock Console (Model access from menu on left) | |
# Run this Python code in an environment with access to AWS account. | |
import boto3, time | |
bedrock_runtime = boto3.client('bedrock-runtime', region_name='us-west-2') | |
prompt = "Sci-fi city at night slow pan across the skyline" | |
s3_uri = 's3://[your bucket for output files]' | |
response = bedrock_runtime.start_async_invoke( | |
modelId='luma.ray-v2:0', | |
modelInput={ | |
"prompt": prompt, | |
"aspect_ratio": "16:9", | |
"loop": False, | |
"duration": "5s", | |
"resolution": "720p" | |
}, | |
outputDataConfig={ | |
's3OutputDataConfig': { | |
's3Uri': s3_uri | |
} | |
} | |
) | |
while True: | |
async_invoke = bedrock_runtime.get_async_invoke( | |
invocationArn=response['invocationArn'] | |
) | |
if async_invoke.get('status') != 'InProgress': | |
break | |
print(".", end="", flush=True) | |
time.sleep(5) | |
print("\n") # Add a newline after dots | |
print(f"Final status: {async_invoke.get('status')}") | |
print(f"Output Data Config: {async_invoke.get('outputDataConfig')}") |
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