v5/transition
By specifying the first and last video frames as input, this image-to-video model is well suited for generating video scenes that can later be seamlessly edited into a complete clip in a video editor. Consistently sharp, realistic, and cinematic-quality results.
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
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.
In this example, we set the last frame to match the first, creating a video that can be played in a seamless loop.
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/pixverse/generation"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "pixverse/v5/transition",
"prompt": "Mona Lisa sits holding glasses in her hands, then puts them on, but changes her mind, takes them off, and hides them in a handbag on her lap. Then she smiles.",
"image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
"tail_image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
"duration": "8"
}
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/pixverse/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()
gen_id = gen_response.get("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()
Processing time: ~1.5 min.
Original: 864x1280
Low-res GIF preview:

"Mona Lisa sits holding glasses in her hands, then puts them on,
but changes her mind, takes them off, and hides them in a handbag on her lap.
Then she smiles."
API Schemas
Create a video generation task and send it to the server
You can generate a video using this API. In the basic setup, you only need a reference image and a prompt. This endpoint creates and sends a video generation task to the server — and returns a generation ID.
URL of the image to be used as the first frame of the video.
A direct link to an online image or a Base64-encoded local image to be used as the last frame of the video.
The text description of the scene, subject, or action to generate in the video.
The aspect ratio of the generated video.
16:9
Possible values: An enumeration where the short side of the video frame determines the resolution.
720p
Possible values: The length of the output video in seconds.
The description of elements to avoid in the generated video.
The style of the generated video.
Varying the seed integer is a way to get different results for the same other request parameters. Using the same value for an identical request will produce similar results. If unspecified, a random number is chosen.
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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.
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