Veo 2 (Text-to-Video)

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

veo2

Google’s cutting-edge AI model designed to generate highly realistic and cinematic video content from textual prompts or a combination of text and images. Leveraging advanced machine learning techniques, Veo2 excels in creating videos with natural motion, realistic physics, and professional-grade visual fidelity.

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.

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.

Generation may take around 40-50 seconds for a 5-second video.

import requests
import time

# Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
aimlapi_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}/generate/video/google/generation"
    headers = {
        "Authorization": f"Bearer {aimlapi_key}", 
    }

    data = {
        "model": "veo2",
        "prompt": '''
A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming.
''' }
 
    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}/generate/video/google/generation"
    params = {
        "generation_id": gen_id,
    }
    
    headers = {
        "Authorization": f"Bearer {aimlapi_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("Gen_ID:  ", gen_id)

    # Trying to retrieve the video from the server every 10 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 10 seconds.")
                time.sleep(10)
            else:
                print("Processing complete:/n", response_data)
                return response_data
   
        print("Timeout reached. Stopping.")
        return None     


if __name__ == "__main__":
    main()

// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
const apiKey = "<YOUR_AIMLAPI_KEY>";
const baseUrl = "https://api.aimlapi.com/v2";
const https = require("https");
const { URL } = require("url");

// Creating and sending a video generation task to the server
function generateVideo(callback) {
    const data = JSON.stringify({
        model: "veo2",
        prompt: `
A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming.
`
    });

    const url = new URL(`${baseUrl}/generate/video/google/generation`);
    const options = {
        method: "POST",
        headers: {
            "Authorization": `Bearer ${apiKey}`,
            "Content-Type": "application/json",
            "Content-Length": Buffer.byteLength(data)
        }
    };

    const req = https.request(url, options, (res) => {
        let body = "";
        res.on("data", (chunk) => body += chunk);
        res.on("end", () => {
            if (res.statusCode >= 400) {
                console.error(`Error: ${res.statusCode} - ${body}`);
                callback(null);
            } else {
                const result = JSON.parse(body);
                callback(result);
            }
        });
    });

    req.on("error", (err) => {
        console.error("Request error:", err);
        callback(null);
    });

    req.write(data);
    req.end();
}

// Requesting the result of the task from the server using the generation_id
function getVideo(genId, callback) {
    const url = new URL(`${baseUrl}/generate/video/google/generation`);
    url.searchParams.append("generation_id", genId);

    const options = {
        method: "GET",
        headers: {
            "Authorization": `Bearer ${apiKey}`,
            "Content-Type": "application/json"
        }
    };

    const req = https.request(url, options, (res) => {
        let body = "";
        res.on("data", (chunk) => body += chunk);
        res.on("end", () => {
            const result = JSON.parse(body);
            callback(result);
        });
    });

    req.on("error", (err) => {
        console.error("Request error:", err);
        callback(null);
    });

    req.end();
}

// Initiates video generation and checks the status every 10 seconds until completion or timeout
function main() {
    generateVideo((genResponse) => {
        if (!genResponse || !genResponse.id) {
            console.error("No generation ID received.");
            return;
        }

        const genId = genResponse.id;
        console.log("Gen_ID:", genId);

        const timeout = 1000 * 1000; // 1000 sec
        const interval = 10 * 1000; // 10 sec
        const startTime = Date.now();

        const checkStatus = () => {
            if (Date.now() - startTime >= timeout) {
                console.log("Timeout reached. Stopping.");
                return;
            }

            getVideo(genId, (responseData) => {
                if (!responseData) {
                    console.error("Error: No response from API");
                    return;
                }

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

                if (["waiting", "active", "queued", "generating"].includes(status)) {
                    console.log("Still waiting... Checking again in 10 seconds.");
                    setTimeout(checkStatus, interval);
                } else {
                    console.log("Processing complete:\n", responseData);
                }
            });
        };

        checkStatus();
    });
}

main();

Response

Gen_ID: e4d3af90-f643-44d0-9dcc-95c5b07f4bbf:veo2
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:
 {
  id: 'e4d3af90-f643-44d0-9dcc-95c5b07f4bbf:veo2',
  status: 'completed',
  video: {
    url: 'https://cdn.aimlapi.com/eagle/files/kangaroo/4zOxWejQAux5b9EgeeNHV_output.mp4',
    content_type: 'video/mp4',
    file_name: 'output.mp4',
    file_size: 2657506
  }
}

Original (with sound): 1280x720

Low-res GIF preview:

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.

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 prompt, the aspect ratio, and the desired duration (5, 6, 7, or 8 seconds).

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

promptstringRequired

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

aspect_ratiostring · enumOptional

The aspect ratio of the generated video.

Possible values:

durationinteger · enumOptional

The length of the output video in seconds.

Possible values:

negative_promptstringOptional

The description of elements to avoid in the generated video.

seedintegerOptional

Varying the seed integer is a way to get different results for the same other request parameters. Using the same value for an identical request will produce similar results. If unspecified, a random number is chosen.

enhance_promptbooleanOptional

Whether to enhance the video generation.

Default: true

Responses

201Success

No content

201Success

No content

Fetch the video

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 complete, the response will include the final result — with the generated video URL and additional metadata.

get

Authorizations

Query parameters

generation_idstringRequired

Responses

200Success

No content

200Success

No content

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