magic/text-to-video

This documentation is valid for the following list of our models:

• magic/text-to-video

Try in Playground

The model allows you to embed your custom text into the selected video template — sound included.

Supported Templates

"template": "Shanghai Drone Show"

---

Setup your API Key

If you don’t have an API key for the AI/ML API yet, feel free to use our Quickstart guide.

API Schemas

Generating a video using this model involves sequentially calling two endpoints:

• The first one is for creating and sending a video generation task to the server (returns a generation ID).

• The second one is for requesting the generated video from the server using the generation ID received from the first endpoint.

Below, you can find two corresponding API schemas and an example with both endpoint calls.

Create a video generation task and send it to the server

post

Body

application/json

modelstring · enumRequiredPossible values:

promptstringRequired

Text that will appear in the video.

templatestring · enumOptional

Video design template.

Default: Shanghai Drone ShowPossible values:

Responses

200Success

application/json

post

/v2/video/generations

JavaScriptPythoncURLHTTP

async function main() {
  const response = await fetch('https://api.aimlapi.com/v2/video/generations', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer <YOUR_AIMLAPI_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      "model": "magic/text-to-video",
      "prompt": "AI/ML API",
      "template": "Shanghai Drone Show"
    }),
  });

  const data = await response.json();
  console.log(JSON.stringify(data, null, 2));
}

main();

200Success

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4"
  },
  "error": {
    "name": "text",
    "message": "text"
  },
  "meta": {
    "usage": {
      "credits_used": 120000
    }
  }
}

Retrieve the generated video from the server

After sending a request for video generation, this task is added to the queue. Based on the service's load, the generation can be completed in seconds or take a bit more.

get

Query parameters

generation_idstringRequired

Responses

200

Successfully generated video

application/json

get

/v2/video/generations

HTTPcURLJavaScriptPython

GET /v2/video/generations?generation_id=text HTTP/1.1
Host: api.aimlapi.com
Accept: */*

200

Successfully generated video

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4",
    "duration": 8
  },
  "duration": 8,
  "error": null,
  "meta": {
    "usage": {
      "tokens_used": 120000
    }
  }
}

Code Example

The code below creates a video generation task, then automatically polls the server every 15 seconds until it finally receives the video URL.

Python

import requests
import time

# Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
api_key = "<YOUR_AIMLAPI_KEY>"
base_url = "https://api.aimlapi.com/v2"

# Creating and sending a video generation task to the server
def generate_video():
    url = f"{base_url}/video/generations"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "magic/text-to-video",
        "prompt": "AI/ML API",
        "template": "Shanghai Drone Show"
    }
 
    response = requests.post(url, json=data, headers=headers)
    if response.status_code >= 400:
        print(f"Error: {response.status_code} - {response.text}")
    else:
        response_data = response.json()
        return response_data
    

# Requesting the result of the task from the server using the generation_id
def get_video(gen_id):
    url = f"{base_url}/video/generations"
    params = {
        "generation_id": gen_id,
    }
    
    headers = {
        "Authorization": f"Bearer {api_key}", 
        "Content-Type": "application/json"
        }

    response = requests.get(url, params=params, headers=headers)
    return response.json()


def main():
     # Running video generation and getting a task id
    gen_response = generate_video()
    gen_id = gen_response.get("id")
    print("Generation ID:  ", gen_id)

    # Trying to retrieve the video from the server every 15 sec
    if gen_id:
        start_time = time.time()

        timeout = 1000
        while time.time() - start_time < timeout:
            response_data = get_video(gen_id)

            if response_data is None:
                print("Error: No response from API")
                break
        
            status = response_data.get("status")
            print("Status:", status)

            if status == "waiting" or status == "active" or  status == "queued" or status == "generating":
                print("Still waiting... Checking again in 15 seconds.")
                time.sleep(15)
            else:
                print("Processing complete:/n", response_data)
                return response_data
   
        print("Timeout reached. Stopping.")
        return None     


if __name__ == "__main__":
    main()

Response

Generation ID:   x6cwiGJM4VSX8msX6VtRX
Status: queued
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: generating
Still waiting... Checking again in 15 seconds.
Status: completed
Processing complete:/n {'id': 'x6cwiGJM4VSX8msX6VtRX', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/mule/ompr/openmagic/render_tasks/254262/1657f92e15fd427298b5e60e8eedcbce.mp4?response-content-disposition=attachment%3B%20filename%3D1657f92e15fd427298b5e60e8eedcbce.mp4&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=FUQDW4Z92RG9JPURIVP1%2F20251230%2Ffsn1%2Fs3%2Faws4_request&X-Amz-Date=20251230T132555Z&X-Amz-Expires=600&X-Amz-SignedHeaders=host&X-Amz-Signature=c5322a3ec963563674e1ea3447e978bc9d9325a854e30bc2ad8ab2563c2db9df'}}

Processing time: ~ 2 min 22 sec.

Generated video (608x1080, without sound):