v1-standard/image-to-video
Model Overview
A model transforms static images into dynamic video clips.
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 ratio
and aspect_ratio
parameters are deprecated. The aspect ratio of the generated video is solely determined by the aspect ratio of the input reference image.
URL of the image to be used for the end of the video
URL of the image for Static Brush Application Area (Mask image created by users using the motion brush)
The text prompt to guide video generation
The duration of the generated video in seconds. Possible values: 5, 10
The description of elements to avoid in the generated video
The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt
POST /v2/generate/video/kling/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 315
{
"model": "kling-video/v1/standard/image-to-video",
"tail_image_url": "https://example.com",
"static_mask_url": "https://example.com",
"dynamic_masks": [
{
"mask_url": "https://example.com",
"trajectories": [
{
"x": 1,
"y": 1
}
]
}
],
"image_url": "https://example.com",
"prompt": "text",
"duration": 5,
"negative_prompt": "text",
"cfg_scale": 1
}
No content
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 /v2/generate/video/kling/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Accept: */*
No content
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 5 minutes for a 5-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/kling/generation"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "kling-video/v1/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()
# 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/kling/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("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 = 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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