video-v2.6-pro-text-to-video

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

• klingai/video-v2-6-pro-text-to-video

Try in Playground

A high-end AI system for producing cinematic, high-fidelity videos from text prompts, featuring native audio generation and smooth, natural motion. The flagship Kling model as of early December 2025.

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

post

Body

application/json

modelstring · enumRequiredPossible values:

promptstring · max: 2500Required

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.

Default: 5Possible values:

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.

generate_audiobooleanOptional

Whether to generate audio for the video.

Default: true

Responses

200Success

application/json

post

/v2/video/generations

HTTPcURLJavaScriptPython

POST /v2/video/generations HTTP/1.1
Host: api.aimlapi.com
Content-Type: application/json
Accept: */*
Content-Length: 162

{
  "model": "klingai/video-v2-6-pro-text-to-video",
  "prompt": "text",
  "aspect_ratio": "16:9",
  "duration": "5",
  "negative_prompt": "text",
  "cfg_scale": 1,
  "generate_audio": true
}

200Success

{
  "id": "text",
  "status": "failed",
  "video": {
    "url": "https://example.com"
  },
  "error": {
    "name": "text",
    "message": "text"
  }
}

Retrieve the generated video from the server

After sending a request for video generation, this task is added to the queue. Based on the service's load, the generation can be completed in seconds or take a bit more.

get

Query parameters

generation_idstringRequired

Responses

200

Successfully generated video

application/json

get

/v2/video/generations

HTTPcURLJavaScriptPython

GET /v2/video/generations?generation_id=text HTTP/1.1
Host: api.aimlapi.com
Accept: */*

200

Successfully generated video

{
  "id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
  "status": "completed",
  "video": {
    "url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4",
    "duration": 8
  },
  "duration": 8,
  "error": null,
  "meta": {
    "usage": {
      "tokens_used": 120000
    }
  }
}

Code Example

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-v2-6-pro-text-to-video",
        "prompt": "A cheerful white raccoon running through a sequoia forest",
        "aspect_ratio": "16:9",
        "duration": "5"
    }
 
    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
        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 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()

Response

Generation ID:   bfb9eca8-178f-41ca-a1f1-6e4551157a0b:klingai/video-v2-6-pro-text-to-video
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: completed
Processing complete:/n {'id': 'bfb9eca8-178f-41ca-a1f1-6e4551157a0b:klingai/video-v2-6-pro-text-to-video', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/flamingo/files/b/0a84eb06/XtWjnJNjQLBMwJbBz4WcF_output.mp4'}}

Processing time: ~ 2 min 32 sec.

Generated video (1920x1080, with sound):