video-01-live2d
Model Overview
An innovative AI model designed for generating high-quality videos from text prompts or image. Developed by Hailou AI, this model can produce visually striking content with cinematic qualities, allowing users to create engaging videos quickly and efficiently.
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
API Schemas
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.
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: 109
{
"model": "video-01-live2d",
"prompt": "text",
"prompt_optimizer": true,
"first_frame_image": "https://example.com"
}
{
"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. 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"
}
}
Full Example: Generating and Retrieving the Video From the Server
We have a classic reproduction of the famous da Vinci painting. Let's ask the model to generate a video where the Mona Lisa puts on glasses.
Generation may take around 3 minutes for a 6-second video.
import requests
import time
# replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API 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/minimax/generation"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "video-01-live2d",
"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()
# print(response_data)
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,
}
# 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)
# print("Generation:", response.json())
return response.json()
def main():
# Running video generation and getting a task id
gen_response = generate_video()
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 = 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()
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