v1.6-pro/effects

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

• klingai/kling-video-v1.6-pro-effects

Try in Playground

A specialized video model that generates short clips based on reference images of people, applying one of several preset scenarios: two people hugging, kissing, or making a heart shape with their hands (requires 2 reference images), or a single person being humorously squished like clay or inflated like a balloon (requires 1 reference image).

Generated Video Examples (low-res GIF previews)

Photo #1	Photo #2	"effect_scene": "heart_gesture"

"effect_scene": "hug"	"effect_scene": "kiss"
"effect_scene": "squish"	"effect_scene": "expansion"

Theoretically, you can get acceptable results for the squish and expansion effects even when using photos of animals, inanimate objects, or even landscapes. The output can be unusual, but the video will be generated.

"effect_scene": "squish"	"effect_scene": "squish"

However, if you try to use such photos with the hug, kiss, or heart_gesture effects, you’ll receive an error saying “Could not detect face in the image” .

Processing complete:/n {'id': '50f3e8ae-3d88-482f-95ea-7faa4799f60f:kling-video/v1.6/pro/effects', 'status': 'error', 'error': {'detail': [{'loc': ['body', 'image_url'], 'msg': 'Could not detect face in the image', 'type': 'face_detection_error', 'input': 'https://rgo.ru/upload/s34web.imageadapter/668e00e0ed33855a9c79de12d2f88206/2131465.jpg'}]}}

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.

Code Example

In this example, we'll try to make two people from different photos (provided via URLs) form a romantic heart shape with their hands. No prompt is required — the effect is selected by setting the appropriate value for the effect_scene parameter.

For effects that involve two images, the first one will always appear on the left side of the video, and the second one on the right. Therefore, to achieve the most natural-looking result, you may sometimes need to swap the image order.

In videos featuring a single person (the squish and expansion effects), an audio track is also generated — a mix of music and material interaction sounds, such as rubber squeaks and similar effects.

Input image preview

Photo #1	Photo #2

The code below creates a video generation task, then automatically polls the server every 10 seconds until it finally receives the video URL.

Python

import requests
import time

base_url = "https://api.aimlapi.com/v2"
api_key = "<YOUR_AIMLAPI_KEY>"

ref_img_url1 = "https://images.pexels.com/photos/733872/pexels-photo-733872.jpeg"
ref_img_url2 = "https://storage.googleapis.com/falserverless/juggernaut_examples/QEW5VrzccxGva7mPfEXjf.png"

# Creating and sending a video generation task to the server
def generate_video():
    url = f"{base_url}/generate/video/kling/generation"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "klingai/kling-video-v1.6-pro-effects",
        "image_url": [ref_img_url1, ref_img_url2],
        "duration": 5,
        "effect_scene": "heart_gesture"        
    }
 
    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/kling/generation"
    params = {
        "generation_id": gen_id,
    }
    
    # Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
    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 10 sec
    if gen_id:
        start_time = time.time()

        timeout = 600
        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()

Response

Gen_ID:   91bc5296-f0f9-4336-ab6a-60f993cbb971:kling-video/v1.6/pro/effects
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: 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: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:/n {'id': '91bc5296-f0f9-4336-ab6a-60f993cbb971:kling-video/v1.6/pro/effects', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/eagle/files/koala/cSlcOq_yBcuGDvbf9BjGU_output.mp4', 'content_type': 'video/mp4', 'file_name': 'output.mp4', 'file_size': 8554108}}

Generated Video (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.

Below, you can find two corresponding API schemas and an example with both endpoint calls.

Create a video generation task and send it to the server

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

modelundefined · enumRequiredPossible values:

typestring · enumOptionalPossible values:

effect_scenestring · enumRequired

Video effect scene type

Possible values:

image_urlany ofRequired

For hug, kiss, and heart_gesture effects, pass an array containing exactly two image URLs. For squish or expansion, only one image URL is required.

string · uriOptional

or

string · uri[]Optional

durationinteger · enumOptional

The length of the output video in seconds.

Possible values:

Responses

200

Successfully generated video

application/json

post

/v2/generate/video/kling/generation

JavaScriptPythoncURLHTTP

async function main() {
  const response = await fetch('https://api.aimlapi.com/v2/video/generations', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer <YOUR_API_KEY>',
      'Content-Type': 'application/json',
    },
    body: JSON.stringify({
      "model": "klingai/kling-video-v1.6-pro-effects",
      "image_url": [
        "https://images.pexels.com/photos/733872/pexels-photo-733872.jpeg",
        "https://storage.googleapis.com/falserverless/juggernaut_examples/QEW5VrzccxGva7mPfEXjf.png"
      ],
      "effect_scene": "heart_gesture"
    }),
  });

  const data = await response.json();
  console.log(JSON.stringify(data, null, 2));
}

main();

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
    }
  }
}

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

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Query parameters

generation_idstringRequired

Responses

200

Successfully generated video

application/json

get

/v2/generate/video/kling/generation

HTTPcURLJavaScriptPython

GET /v2/generate/video/kling/generation?generation_id=text HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer YOUR_SECRET_TOKEN
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
    }
  }
}