Seedance 1.0 lite (Image-to-Video)
Model Overview
Generate professional video content from a reference image and text prompt in minutes — with the option to keep the camera fixed throughout the entire clip.
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
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.
A direct link to an online image or a Base64-encoded local image that will serve as the visual base or the first frame for the video.
The text description of the scene, subject, or action to generate in the video.
An enumeration where the short side of the video frame determines the resolution.
720p
Possible values: The length of the output video in seconds.
Whether the video contains a watermark
false
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.
Whether to fix the camera position. Enum values:
true: Fix the camera position. The platform will append instructions to fix the camera position in the user's prompt, but the actual effect is not guaranteed.
false: Do not fix the camera position.
false
POST /v2/generate/video/bytedance/generation HTTP/1.1
Host: api.aimlapi.com
Authorization: Bearer <YOUR_AIMLAPI_KEY>
Content-Type: application/json
Accept: */*
Content-Length: 173
{
"model": "bytedance/seedance-1-0-lite-i2v",
"image_url": "https://example.com",
"prompt": "text",
"resolution": "720p",
"duration": 5,
"watermark": false,
"seed": 1,
"camerafixed": false
}
No content
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.
GET /v2/generate/video/bytedance/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
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
# 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/bytedance/generation"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "bytedance/seedance-1-0-lite-i2v",
"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/bytedance/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("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: 832x1120
Low-res GIF preview:

"Mona Lisa puts on glasses with her hands."
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