V3 Standard text-to-video

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

• klingai/video-v3-standard-text-to-video

Try in Playground

Text-to-video generation with cinematic visuals, smooth motion, built-in audio generation, and support for multi-shot scenes.

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

This endpoint creates and sends a video generation task to the server — and returns its ID.

post

Body

modelstring · enumRequiredPossible values:

promptstringOptional

Text prompt for video generation. Either prompt or multi_prompt must be provided, but not both.

multi_promptstring[]Optional

List of prompts for multi-shot video generation. If provided, overrides the single prompt and divides the video into multiple shots with specified prompts and durations.

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: 5Possible values:

shot_typestring · enumOptional

The type of multi-shot video generation

Default: customizePossible values:

generate_audiobooleanOptional

Whether to generate audio for the video.

Default: true

negative_promptstringOptional

The description of elements to avoid in the generated video.

cfg_scalenumber · max: 1Optional

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt.

providerstringOptional

Provider routing override. kling (alias klingai) runs native Kling with no fallback; fal runs the fal.ai mirror; auto (default) uses the Kling -> fal.ai fallback chain. Case-insensitive.

Example: auto

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": "klingai/video-v3-standard-text-to-video",
      "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."
    }'

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 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": "klingai/video-v3-standard-text-to-video",
        "multi_prompt": [
            '''A cheerful white raccoon runs through a giant sequoia forest. Sunlight streams through the tall trees, soft volumetric light, cinematic camera movement following the raccoon from the side, shallow depth of field, animated film style, 3 seconds.''',
            '''Close-up of the raccoon's face. The raccoon gently raises its head and looks up toward the towering sequoia treetops. Soft light on the fur, expressive eyes, subtle head movement, cinematic close-up, animated film style, 2 seconds.''',
            '''First-person view from the raccoon's perspective. Massive sequoia trees sway and rustle in the wind high above. Suddenly, a huge pterodactyl flies across the sky, blurred and partially hidden in mist and haze. Slight handheld camera feel, cinematic motion blur, dramatic atmosphere, animated film style, 3 seconds.'''
        ],
        "aspect_ratio": "16:9",
        "duration": 8
    }
 
    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   # 1000 sec = 16 min 40 sec
        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>";
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: 'klingai/video-v3-standard-text-to-video',
        multi_prompt: [
            `A cheerful white raccoon runs through a giant sequoia forest. Sunlight streams through the tall trees, soft volumetric light, cinematic camera movement following the raccoon from the side, shallow depth of field, animated film style, 3 seconds.`,
            `Close-up of the raccoon's face. The raccoon gently raises its head and looks up toward the towering sequoia treetops. Soft light on the fur, expressive eyes, subtle head movement, cinematic close-up, animated film style, 2 seconds.`,
            `First-person view from the raccoon's perspective. Massive sequoia trees sway and rustle in the wind high above. Suddenly, a huge pterodactyl flies across the sky, blurred and partially hidden in mist and haze. Slight handheld camera feel, cinematic motion blur, dramatic atmosphere, animated film style, 3 seconds.`
        ],
        aspect_ratio: '16:9',
        duration: 8
    });

    const url = new URL(`${baseUrl}/video/generations`);
    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}/video/generations`);
    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 15 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 = 16 min 40 sec
        const interval = 15 * 1000; // 15 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;
        
                if (["queued", "generating"].includes(status)) {
                    console.log(`Status: ${status}. Checking again in 15 seconds.`);
                    setTimeout(checkStatus, interval);
                } else {
                    console.log("Processing complete:\n", responseData);
                }
            });
        };
        checkStatus();
    })
}

main();

Response

Generation ID:   m4WgO9-aUFTyIJpDb8exl
Status: queued. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Processing complete:
 {'id': 'm4WgO9-aUFTyIJpDb8exl', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/flamingo/files/b/0a8d688e/iMvhPnFDL8pMtF3_Nd567_output.mp4'}}

Processing time: ~ 7 min 11 sec.

Generated video (1280x720, with sound):

https://drive.google.com/file/d/1RX5shfG2ysAG4zQzXypstDoqBA9eGU7W/view?usp=sharingdrive.google.com