Veo 3 Fast (Text-to-Video)

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

• google/veo-3.0-fast

Overview

The model generates realistic 8-second 720p and 1080p videos with detailed visuals and audio. Optimized for speed and cost compared to the Veo 3 (Text-to-Video) model.

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 an example with 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 prompt will be automatically enhanced using AI. To disable this feature, set the parameter enhance_prompt to false.

post

Authorizations

Body

modelundefined · enumRequiredPossible values:

promptstringRequired

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

resolutionstring · enumOptionalDefault: 720PPossible values:

durationnumber · enumOptional

The length of the output video in seconds.

Default: 8Possible 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

generate_audiobooleanOptional

Whether to generate audio for the video.

Default: true

Responses

201Success

post

HTTPcURLJavaScriptPython

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: 158

{
  "model": "google/veo-3.0-fast",
  "prompt": "text",
  "resolution": "720P",
  "duration": 8,
  "negative_prompt": "text",
  "seed": 1,
  "enhance_prompt": true,
  "generate_audio": true
}

201Success

No content

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 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

HTTPcURLJavaScriptPython

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.

This model produces highly detailed and natural-looking videos, so generation may take around 2 minutes for a 8-second video with audio.

Python

import requests
import time

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

# 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": "google/veo-3.0-fast",
        "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("Generation 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()

JavaScript

// 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: "google/veo-3.0-fast",
        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("Generation 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:   083c6067-0bc6-464a-943b-930b1eb1753b:veo-3.0-fast-generate-001
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: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:/n {'status': 'completed', 'id': '083c6067-0bc6-464a-943b-930b1eb1753b:veo-3.0-fast-generate-001', 'video': {'url': 'https://cdn.aimlapi.com/generations/guepard/1754989116527-98dac026-6570-4d01-8a93-4234dc699032.mp4'}}

Original (with the audio): 1280x720

Low-res GIF preview:

"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."