This model creates dynamic videos from multiple input images with enhanced temporal consistency and natural transitions.
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
Step-by-Step Instructions
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 both corresponding API schemas.
API Schemas
Now, all of our API schemas for video models use our new universal short URL — https://api.aimlapi.com/v2/video/generations.
However, you can still call this model using the legacy URL that includes the vendor name.
Create a video generation task and send it to the server
Array of image URLs for multi-image-to-video generation
promptstringOptional
The text description of the scene, subject, or action to generate in the video.
aspect_ratiostring · enumOptional
The aspect ratio of the generated video.
Default: 16:9Possible values:
durationinteger · enumOptional
The length of the output video in seconds.
Default: 5Possible values:
negative_promptstringOptional
The description of elements to avoid in the generated video.
Responses
200Success
application/json
post
/v2/video/generations
200Success
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 completed, the response will include the final result — with the generated video URL and additional metadata.
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. The code below creates a video generation task, then automatically polls the server every 15 seconds until it finally receives the video URL.
import requests
import time
# Insert your AIML API Key instead of <YOUR_AIMLAPI_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}/video/generations"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "kling-video/v1.6/standard/multi-image-to-video",
"prompt": "A graceful ballerina dancing outside a circus tent on green grass, with colorful wildflowers swaying around her as she twirls and poses in the meadow.",
"image_list":[
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-1.png",
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-2.png",
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-3.png"
],
"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()
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}/video/generations"
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)
# Try to retrieve the video from the server every 15 sec
if gen_id:
start_time = time.time()
timeout = 1000 # 1000 sec = 16 min 40 sec
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")
if status in ["queued", "generating"]:
print(f"Status: {status}. Checking again in 15 seconds.")
time.sleep(15)
else:
print("Processing complete:\n", response_data)
return response_data
print("Timeout reached. Stopping.")
return None
if __name__ == "__main__":
main()
const https = require("https");
const { URL } = require("url");
// Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key
const apiKey = "<YOUR_AIMLAPI_KEY>";
const baseUrl = "https://api.aimlapi.com/v2";
// Creating and sending a video generation task to the server
function generateVideo(callback) {
const data = JSON.stringify({
model: "kling-video/v1.6/standard/multi-image-to-video",
prompt: `A graceful ballerina dancing outside a circus tent on green grass, with colorful wildflowers swaying around her as she twirls and poses in the meadow.`,
image_urls:[
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-1.png",
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-2.png",
"https://storage.googleapis.com/falserverless/example_inputs/veo31-r2v-input-3.png"
],
duration: "5",
});
const url = new URL(`${baseUrl}/video/generations`);
const options = {
method: "POST",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
"Content-Length": Buffer.byteLength(data),
},
};
const req = https.request(url, options, (res) => {
let body = "";
res.on("data", (chunk) => body += chunk);
res.on("end", () => {
if (res.statusCode >= 400) {
console.error(`Error: ${res.statusCode} - ${body}`);
callback(null);
} else {
const parsed = JSON.parse(body);
callback(parsed);
}
});
});
req.on("error", (err) => console.error("Request error:", err));
req.write(data);
req.end();
}
// Requesting the result of the task from the server using the generation_id
function getVideo(genId, callback) {
const url = new URL(`${baseUrl}/video/generations`);
url.searchParams.append("generation_id", genId);
const options = {
method: "GET",
headers: {
"Authorization": `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
};
const req = https.request(url, options, (res) => {
let body = "";
res.on("data", (chunk) => body += chunk);
res.on("end", () => {
const parsed = JSON.parse(body);
callback(parsed);
});
});
req.on("error", (err) => console.error("Request error:", err));
req.end();
}
// Initiates video generation and checks the status every 15 seconds until completion or timeout
function main() {
generateVideo((genResponse) => {
if (!genResponse || !genResponse.id) {
console.error("No generation ID received.");
return;
}
const genId = genResponse.id;
console.log("Generation ID:", genId);
const timeout = 1000 * 1000; // 1000 sec = 16 min 40 sec
const interval = 15 * 1000; // 15 sec
const startTime = Date.now();
const checkStatus = () => {
if (Date.now() - startTime >= timeout) {
console.log("Timeout reached. Stopping.");
return;
}
getVideo(genId, (responseData) => {
if (!responseData) {
console.error("Error: No response from API");
return;
}
const status = responseData.status;
if (["queued", "generating"].includes(status)) {
console.log(`Status: ${status}. Checking again in 15 seconds.`);
setTimeout(checkStatus, interval);
} else {
console.log("Processing complete:\n", responseData);
}
});
};
checkStatus();
})
}
main();
Generation ID: hMDMSCevwslpo4mCYcAq6
Status: queued. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Processing complete:
{'id': 'hMDMSCevwslpo4mCYcAq6', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/kangaroo/bs2/upload-ylab-stunt-sgp/muse/784256485483880450/VIDEO/20260120/4ce5531fa9b76040406160e4de9aade3-e3fecf53-c465-4fae-930d-ca6fb4f5fa35.mp4?cacheKey=ChtzZWN1cml0eS5rbGluZy5tZXRhX2VuY3J5cHQSsAH5QpP_T20xhfZgD0_rzkVWFOOMi7tUMuP4dUQ09Jq6rYmb93RbfnW-Rs49q3mqiGOqI81iK-XP8epTf1_MTdQXEanJ2bQXcRIwdsW0avYR5Jl8zYFmQ-1VosskLDw18lst4S3L1MlkAGz1J83RefPcPJXHghSQeXMAVm7XomoxHPe3r0oLhOK1_53_pzawb1dOv59rcGt2BIPNLqHrgnKwvWBKjNQgmJmXjd1GCLfHlBoSEWFMYg6sFzvDzdpgVuS6Rze6IiBbx-DP_va2vmNp6ZDdaZgVJejcfrBIg2OXoS-Q1Jy1YSgFMAE&x-kcdn-pid=112781&ksSecret=23cad3f0f321b18c1efcd147b62b61a8&ksTime=6996ec46'}}
