hailuo-02
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.
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.
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()
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
The text description of the scene, subject, or action to generate in the video.
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.
true
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.
The length of the output video in seconds.
The dimensions of the video display. 1080p corresponds to 1920 x 1080 pixels, 768p corresponds to 1366 x 768 pixels.
768P
Possible values: 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"
}
{
"generation_id": "222226666699999",
"status": "text",
"meta": {
"usage": {
"tokens_used": 1
}
}
}
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 complete
, the response will include the final result — with the generated video URL and additional metadata.
Generation ID
222226666699999
GET /v2/generate/video/minimax/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*
{
"id": "222226666699999",
"status": "queued",
"video": {
"url": "https://example.com"
},
"error": null
}
Last updated
Was this helpful?