hailuo-02

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

• minimax/hailuo-02

Model Overview

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.

How to Make a Call

Generating a video using this model involves making two sequential API calls:

• 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 or extended 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

Authorizations

Body

modelundefined · enumRequiredPossible values:

promptstring · max: 2000Required

The text description of the scene, subject, or action to generate in the video.

prompt_optimizerbooleanOptional

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.

Default: true

first_frame_imagestring · uriOptional

The model will use the image passed in this parameter as the first frame to generate a video. Supported formats: - URL of the image; - base64 encoding of the image. Image specifications: - format must be JPG, JPEG, or PNG; - aspect ratio should be greater than 2:5 and less than 5:2; the shorter side must exceed 300 pixels; - file size must not exceed 20MB.

durationinteger · enumOptional

The length of the output video in seconds.

Possible values:

resolutionstring · enumOptionalDefault: 768PPossible values:

Responses

default

application/json

post

HTTPcURLJavaScriptPython

POST /v2/generate/video/minimax/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 144

{
  "model": "minimax/hailuo-02",
  "prompt": "text",
  "prompt_optimizer": true,
  "first_frame_image": "https://example.com",
  "duration": 6,
  "resolution": "768P"
}

default

{
  "generation_id": "222226666699999",
  "status": "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

Authorizations

Query parameters

generation_idstringRequired

Generation ID

Example: 222226666699999

Responses

default

application/json

get

HTTPcURLJavaScriptPython

GET /v2/generate/video/minimax/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*

default

{
  "id": "222226666699999",
  "status": "queued",
  "video": {
    "url": "https://example.com"
  }
}

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.

Generation may take around 4-5 minutes for a 6-second video and 8-9 minutes for a 10-second video.

Full code example

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)
    # print("Generation:", response.json())
    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("Gen_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()

Response

{'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'}}

Generated Video

Original: 768x1142

Low-res GIF preview: