# hailuo-02

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

* `minimax/hailuo-02`
  {% endhint %}
  {% endcolumn %}

{% column width="33.33333333333334%" %} <a href="https://aimlapi.com/app/minimax/hailuo-02" class="button primary">Try in Playground</a>
{% endcolumn %}
{% endcolumns %}

Compared to earlier versions, this model brings enhanced physics, more natural camera movement, and better alignment with prompts. It currently supports 10-second clips at 768p, with native 1080p coming soon.

## 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":["minimax/hailuo-02"]},"prompt":{"type":"string","maxLength":2000,"description":"The text description of the scene, subject, or action to generate in the 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 first frame for the video.\nImage specifications: \n- format must be JPG, JPEG, or PNG; \n- aspect ratio should be greater than 2:5 and less than 5:2; \n- the shorter side must exceed 300 pixels; \n- file size must not exceed 20MB."},"last_image_url":{"type":"string","format":"uri","description":"A direct link to an online image or a Base64-encoded local image to be used as the last frame of the video."},"resolution":{"type":"string","enum":["768P","1080P"],"default":"768P","description":"The dimensions of the video display. 1080p corresponds to 1920 x 1080 pixels, 768p corresponds to 1366 x 768 pixels."},"duration":{"type":"integer","description":"The length of the output video in seconds.","enum":[6,10]},"enhance_prompt":{"type":"boolean","default":true,"description":"If True, the incoming prompt will be automatically optimized to improve generation quality when needed. For more precise control, set it to False — the model will then follow the instructions more strictly."}},"required":["model","prompt"],"title":"minimax/hailuo-02"}}}},"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":"AI/ML Gateway","version":"1.0"},"servers":[{"url":"https://api.aimlapi.com"}],"paths":{"/v2/video/generations":{"get":{"operationId":"VideoControllerV2_pollVideo_v2","parameters":[{"name":"generation_id","required":true,"in":"query","schema":{"type":"string"}}],"responses":{"200":{"description":"Successfully generated video","content":{"application/json":{"schema":{"$ref":"#/components/schemas/Video.v2.PollVideoResponseDTO"}}}}},"tags":["Video Models"]}}},"components":{"schemas":{"Video.v2.PollVideoResponseDTO":{"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."},"duration":{"type":"number","nullable":true,"description":"The duration of the video."}},"required":["url"]},"duration":{"type":"number","nullable":true,"description":"The duration of the video."},"error":{"nullable":true,"description":"Description of the error, if any."},"meta":{"type":"object","nullable":true,"properties":{"usage":{"type":"object","nullable":true,"properties":{"tokens_used":{"type":"number","description":"The number of tokens consumed during generation."}},"required":["tokens_used"]}},"description":"Additional details about the generation."}},"required":["id","status"]}}}}
```

## 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.

{% hint style="info" %}
Generation may take around 4-5 minutes for a 6-second video and 8-9 minutes for a 10-second video.
{% endhint %}

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

```python
import requests
import time

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

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

    data = {
        "model": "minimax/hailuo-02",
        "prompt": "Mona Lisa puts on glasses with her hands.",
        "first_frame_image": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg"      
    }
 
    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/minimax/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()
    print(gen_response)
    gen_id = gen_response.get("generation_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': '282052359471184', 'status': 'queued'}
Gen_ID:   282052359471184
Status: queued
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
Status: queued
Still waiting... Checking again in 10 seconds.
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: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:\n {'id': '282052359471184', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/whale/inference_output%2Fvideo%2F2025-06-20%2Fff397144-0af8-4c32-a157-b60b1e05ed32%2Foutput.mp4?Expires=1750446300&OSSAccessKeyId=LTAI5tAmwsjSaaZVA6cEFAUu&Signature=hNtlgGPljugZ1uxDyRPXRCBS%2B1Y%3D'}}
```

{% endcode %}

</details>

<details>

<summary>Generated Video</summary>

**Original**: [768x1142](https://drive.google.com/file/d/1l4R2YH2jowZR1Brgbrg3wQYqip3bFtMu/view?usp=sharing)

**Low-res GIF preview**:

<figure><img src="https://3927338786-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FROMd1X5PuqtikJ48n2N9%2Fuploads%2Fgit-blob-d4c63b0c555e454965c2495956207ea002645c14%2Fminimax-hailuo-02-preview.gif?alt=media" alt=""><figcaption></figcaption></figure>

</details>
