Veo2 (Text-to-Video)

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

veo2

Overview

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.

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 two corresponding API schemas and examples for both endpoint calls.

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

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

promptstringRequired

The text prompt describing the video you want to generate

aspect_ratiostring · enumOptional

The aspect ratio of the generated video

Possible values:

durationinteger · enumOptional

The duration of the generated video in seconds. Possible values: 5, 6, 7, 8

Possible values:

Responses

201Success

post

POST /v2/generate/video/google/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 67

{
  "model": "veo2",
  "prompt": "text",
  "aspect_ratio": "16:9",
  "duration": 5
}

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

get

GET /v2/generate/video/google/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*

200Success

No content

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()
        # 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 = 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)
    # print("Generation:", response.json())
    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:

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Last updated 14 days ago

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