# Source: https://docs.aimlapi.com/api-references/video-models/kling-ai/v2.1-standard-image-to-video.md

# v2.1-standard/image-to-video

{% columns %}
{% column width="66.66666666666666%" %}
{% hint style="info" %}
This documentation is valid for the following list of our models:

* `kling-video/v2.1/standard/image-to-video`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/kling-video/v2-1/standard/image-to-video" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

A cost-efficient variant of the Kling 2.1 model, yet supports 1080p.

## 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](https://docs.aimlapi.com/quickstart/setting-up).

## How to Make a Call

<details>

<summary>Step-by-Step Instructions</summary>

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.

</details>

## API Schemas

{% hint style="success" %}
Now, all of our API schemas for video models use our new universal short URL — `https://api.aimlapi.com/v2/video/generations`.\
However, you can still call this model using the legacy URL that includes the vendor name.
{% endhint %}

### Create a video generation task and send it to the server

## POST /v2/video/generations

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v2/video/generations":{"post":{"operationId":"_v2_video_generations","requestBody":{"required":true,"content":{"application/json":{"schema":{"type":"object","properties":{"model":{"type":"string","enum":["kling-video/v2.1/standard/image-to-video"]},"image_url":{"type":"string","format":"uri","description":"A direct link to an online image or a Base64-encoded local image that will serve as the visual base or the first frame for the video."},"prompt":{"type":"string","description":"The text description of the scene, subject, or action to generate in the video."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[5,10],"default":"5"},"negative_prompt":{"type":"string","description":"The description of elements to avoid in the generated video."},"cfg_scale":{"type":"number","minimum":0,"maximum":1,"description":"The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt."},"static_mask":{"type":"string","format":"uri","description":"URL of the image for Static Brush Application Area (Mask image created by users using the motion brush)."},"dynamic_masks":{"type":"array","items":{"type":"object","properties":{"mask":{"type":"string"},"trajectories":{"type":"array","items":{"type":"object","properties":{"x":{"type":"integer"},"y":{"type":"integer"}},"required":["x","y"]},"minItems":2,"maxItems":77}},"required":["mask","trajectories"]},"maxItems":6,"description":"List of dynamic masks."},"camera_control":{"type":"object","properties":{"type":{"type":"string","enum":["simple","down_back","forward_up","right_turn_forward","left_turn_forward"]},"config":{"type":"object","properties":{"horizontal":{"type":"number","minimum":-10,"maximum":10},"vertical":{"type":"number","minimum":-10,"maximum":10},"pan":{"type":"number","minimum":-10,"maximum":10},"tilt":{"type":"number","minimum":-10,"maximum":10},"roll":{"type":"number","minimum":-10,"maximum":10},"zoom":{"type":"number","minimum":-10,"maximum":10}}}},"description":"Camera control parameters."}},"required":["model","image_url"],"title":"kling-video/v2.1/standard/image-to-video"}}}},"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"id":{"type":"string","description":"The ID of the generated video."},"status":{"type":"string","enum":["queued","generating","completed","error"],"description":"The current status of the generation task."},"video":{"type":"object","nullable":true,"properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]},"error":{"type":"object","nullable":true,"properties":{"name":{"type":"string"},"message":{"type":"string"}},"required":["name","message"],"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}}}}}}}
```

### 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 /v2/video/generations

>

```json
{"openapi":"3.0.0","info":{"title":"AIML API","version":"1.0.0"},"servers":[{"url":"https://api.aimlapi.com"}],"security":[{"access-token":[]}],"components":{"securitySchemes":{"access-token":{"scheme":"bearer","bearerFormat":"<YOUR_AIMLAPI_KEY>","type":"http","description":"Bearer key","in":"header"}}},"paths":{"/v2/video/generations":{"get":{"operationId":"_v2_video_generations","parameters":[{"name":"generation_id","required":true,"in":"query","schema":{"type":"string"}}],"responses":{"200":{"content":{"application/json":{"schema":{"type":"object","properties":{"id":{"type":"string","description":"The ID of the generated video."},"status":{"type":"string","enum":["queued","generating","completed","error"],"description":"The current status of the generation task."},"video":{"type":"object","nullable":true,"properties":{"url":{"type":"string","format":"uri","description":"The URL where the file can be downloaded from."}},"required":["url"]},"error":{"type":"object","nullable":true,"properties":{"name":{"type":"string"},"message":{"type":"string"}},"required":["name","message"],"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"credits_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["credits_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}}}}}}}
```

## Code Example

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

{% tabs %}
{% tab title="Python" %}
{% code overflow="wrap" %}

```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}/generate/video/kling/generation"
    headers = {
        "Authorization": f"Bearer {api_key}", 
    }

    data = {
        "model": "kling-video/v2.1/standard/image-to-video",
        "prompt": "Mona Lisa puts on glasses with her hands.",
        "image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
        "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}/generate/video/kling/generation"
    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 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()
```

{% endcode %}
{% endtab %}
{% endtabs %}

<details>

<summary>Response</summary>

{% code overflow="wrap" %}

```json5
Generation ID:   789339022468063304
Status: queued
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: 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': '789339022468063304', 'status': 'completed', 'video': {'url': 'https://v15-kling.klingai.com/bs2/upload-ylab-stunt-sgp/se/stream_lake_m2v_img2video_v21_master/56b24375-28fc-4569-a483-38d44fd8d4f1_raw_video.mp4?x-kcdn-pid=112372'}}
```

{% endcode %}

</details>

<details>

<summary>Generated Video</summary>

**Original**: [1180x1756](https://drive.google.com/file/d/18O8DdqFSNr845sH_VJT9jQOoDrEJS2xc/view?usp=sharing)

**Low-res GIF preview**:

<div align="left"><figure><img src="https://3927338786-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FROMd1X5PuqtikJ48n2N9%2Fuploads%2Fgit-blob-68804dbdf0ea108c984403c1a75587d24c0b4609%2Fv2.1-standard-image-to-video_preview.gif?alt=media" alt=""><figcaption><p><code>"prompt": "Mona Lisa puts on glasses with her hands."</code></p></figcaption></figure></div>

</details>