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Introduction

Luma is an AI video service provided by Ace Data Cloud, featuring Luma Dream Machine video generation. Through the unified API of Ace Data Cloud, you can quickly integrate Luma using Python to achieve text-to-video, image-to-video, video continuation, start/end frame control, looped videos, and other functions.

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Prerequisites

  • Have an Ace Data Cloud account and obtain an API Token
  • Python 3.7 or above environment
  • Install the requests library: pip install requests

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Basic Usage

The main endpoint to call the Luma API is: 
POST https://api.acedata.cloud/luma/videos
Complete Python code example: 
import requests

url = "https://api.acedata.cloud/luma/videos"
headers = {
    "Authorization": "Bearer YOUR_API_TOKEN",
    "Content-Type": "application/json"
}
data = {
    "prompt": "Astronauts shuttle from space to volcano",
    "action": "generate",
    "enhancement": true
}

response = requests.post(url, headers=headers, json=data)
result = response.json()
print(result)
Please replace YOUR_API_TOKEN with the actual token you obtained from the Ace Data Cloud platform.

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Response Handling

After a successful call, the API returns data in JSON format. It is recommended to check the HTTP status code: 
if response.status_code == 200:
    result = response.json()
    print("Call succeeded:", result)
else:
    print(f"Call failed, status code: {response.status_code}")
    print(response.text)

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Advanced Usage

For APIs that support asynchronous tasks, you can get results via a callback URL: 
data['callback_url'] = 'https://your-server.com/callback'
response = requests.post(url, headers=headers, json=data)
# Results will be pushed to your server through the callback URL

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Error Handling

Common error codes:
Status CodeDescription
401Authentication failed, please check the API Token
403Insufficient balance or no access
429Request rate limit exceeded
500Internal server error

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Other Endpoints

The Luma service also provides the following endpoint:
  • POST https://api.acedata.cloud/luma/tasks

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Next Steps