Sora 2 i2v

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

• openai/sora-2-i2v

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Sora 2 is new powerful media generation model, generating videos with synced audio.

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.

How to Make a Call

Step-by-Step Instructions

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 both corresponding API schemas.

API Schemas

Create a video generation task and send it to the server

You can generate a video using this API. In the basic setup, you only need a reference image and a prompt. This endpoint creates and sends a video generation task to the server — and returns a generation ID.

post

Body

modelstring · enumRequiredPossible values:

promptstringRequired

The text description of the scene, subject, or action to generate in the video.

image_urlstring · uriRequired

A URL or a Base64-encoded image file used as the initial frame for video generation. The image dimensions must match the selected video resolution and aspect ratio. Supported configurations include: 720p with aspect ratios:

• 16:9 — 1280x720
• 9:16 — 720x1280

1080p with aspect ratios:

• 16:9 — 1792x1024
• 9:16 — 1024x1792

resolutionstring · enumOptional

The resolution of the output video, where the number refers to the short side in pixels.

Default: 720pPossible values:

aspect_ratiostring · enumOptional

The aspect ratio of the generated video.

Default: 16:9Possible values:

durationinteger · enumOptional

The length of the output video in seconds.

Default: 4Possible values:

Responses

200Success

application/json

idstringRequired

The ID of the generated video.

Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325

statusstring · enumRequired

The current status of the generation task.

Example: completedPossible values:

post/v2/video/generations

curl -L \
  --request POST \
  --url 'https://api.aimlapi.com/v2/video/generations' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
  --header 'Content-Type: application/json' \
  --data '{
      "model": "openai/sora-2-i2v",
      "prompt": "A woman looks into the camera, breathes in, then exclaims energetically, ’Hello world!’",
      "image_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/mona_lisa_extended.jpg"
    }'

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. This endpoint lets you check the status of a video generation task using its id, obtained from the endpoint described above. If the video generation task status is completed, the response will include the final result — with the generated video URL and additional metadata.

get

Authorizations

AuthorizationstringRequired

Bearer key

Query parameters

generation_idstringRequiredExample: <REPLACE_WITH_YOUR_GENERATION_ID>

Responses

200Success

application/json

idstringRequired

The ID of the generated video.

Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325

statusstring · enumRequired

The current status of the generation task.

Example: completedPossible values:

get/v2/video/generations

curl -L \
  --request GET \
  --url 'https://api.aimlapi.com/v2/video/generations?generation_id=<REPLACE_WITH_YOUR_GENERATION_ID>' \
  --header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>'

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
    }
  }
}

Full Example: Generating and Retrieving the Video From the Server

The code below creates a video generation task, then automatically polls the server every 10 seconds until it finally receives the video URL.

Python

import requests
import time

# Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
api_key = "<YOUR_AIMLAPI_KEY>"

# Creating and sending a video generation task to the server
def generate_video():
    url = "https://api.aimlapi.com/v2/video/generations"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "openai/sora-2-i2v",
        "prompt": "She turns around and smiles, then slowly walks out of the frame.",
        "image_url": "https://cdn.openai.com/API/docs/images/sora/woman_skyline_original_720p.jpeg",
        "resolution": "720p",
        "duration": 4
    }
 
    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()
        print(response_data)
        return response_data
    

# Requesting the result of the task from the server using the generation_id
def get_video(gen_id):
    url = "https://api.aimlapi.com/v2/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():
    # Generate video
    gen_response = generate_video()
    gen_id = gen_response.get("id")
    print("Generation ID:  ", gen_id)

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

        timeout = 600
        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")
            
            if status in ["queued", "generating"]:
                print(f"Status: {status}. 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()

JavaScript

// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
const apiKey = '<YOUR_AIMLAPI_KEY>';

// Creating and sending a video generation task to the server
async function generateVideo() {
  const url = 'https://api.aimlapi.com/v2/video/generations';

  const data = {
    model: 'openai/sora-2-i2v',
    prompt: 'She turns around and smiles, then slowly walks out of the frame.',
    image_url:
      'https://cdn.openai.com/API/docs/images/sora/woman_skyline_original_720p.jpeg',
    resolution: '720p',
    aspect_ratio: '16:9',
    duration: 4,
  };

  try {
    const response = await fetch(url, {
      method: 'POST',
      headers: {
        Authorization: `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
      body: JSON.stringify(data),
    });

    if (!response.ok) {
      const errorText = await response.text();
      console.error(`Error: ${response.status} - ${errorText}`);
      return null;
    }

    const responseData = await response.json();
    console.log(responseData);
    return responseData;
  } catch (error) {
    console.error('Request failed:', error);
    return null;
  }
}

// Requesting the result of the task from the server using the generation_id
async function getVideo(genId) {
  const url = new URL('https://api.aimlapi.com/v2/video/generations');
  url.searchParams.append('generation_id', genId);

  try {
    const response = await fetch(url, {
      method: 'GET',
      headers: {
        Authorization: `Bearer ${apiKey}`,
        'Content-Type': 'application/json',
      },
    });

    return await response.json();
  } catch (error) {
    console.error('Error fetching video:', error);
    return null;
  }
}

// Initiates video generation and checks the status every 10 seconds until completion or timeout
async function main() {
  const genResponse = await generateVideo();
  if (!genResponse) return;

  const genId = genResponse.id;
  console.log('Generation ID:', genId);

  if (genId) {
    const timeout = 600 * 1000; // 10 minutes
    const startTime = Date.now();

    while (Date.now() - startTime < timeout) {
      const responseData = await getVideo(genId);

      if (!responseData) {
        console.error('Error: No response from API');
        break;
      }

      const status = responseData.status;
      console.log('Status:', status);

      if (['waiting', 'active', 'queued', 'generating'].includes(status)) {
        console.log('Still waiting... Checking again in 10 seconds.');
        await new Promise((resolve) => setTimeout(resolve, 10000));
      } else {
        console.log('Processing complete:\n', responseData);
        return responseData;
      }
    }

    console.log('Timeout reached. Stopping.');
  }
}

main();

Statuses

Status	Description
queued	Job is waiting in queue
generating	Video is being generated
completed	Generation successful, video available
error	Generation failed, check error field

Response

Generation ID: video_68e572c03d08819188f79439891f6f280590a37b858cba30:openai/sora-2-i2v
Status: generating
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
...
Processing complete:
 {
  id: 'video_68e572c03d08819188f79439891f6f280590a37b858cba30:openai/sora-2-i2v',
  status: 'completed',
  video: {
    url: 'https://cdn.aimlapi.com/generations/hedgehog/1759867684272-d7a19473-8f19-421e-9bde-cf1d206c68e5.mp4'
  }
}

Processing time: ~1.5 min.

Low-res GIF preview:

"She turns around and smiles, then slowly walks out of the frame."