The model generates realistic 8-second 720p and 1080p videos with detailed visuals and audio, offering multiple styles and even dialogue support. It also supports multiple reference images for video generation.
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 two corresponding API schemas and examples for both endpoint calls.
API Schemas
Create a video generation task and send it to the server
You can generate a video using this API.
post
Body
modelstring · enumRequiredPossible values:
promptstringRequired
The text description of the scene, subject, or action to generate in the video.
image_urlsstring · uri[]Required
URL of the input image to animate. Should be 720p or higher resolution.
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.
curl -L \
--request POST \
--url 'https://api.aimlapi.com/v2/video/generations' \
--header 'Authorization: Bearer <YOUR_AIMLAPI_KEY>' \
--header 'Content-Type: application/json' \
--data '{
"model": "google/veo-3.1-reference-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"
]
}'
import requests
import time
# Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>:
aimlapi_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 {aimlapi_key}",
}
data = {
"model": "google/veo-3.1-reference-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"
]
}
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 {aimlapi_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 = 1000
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()
// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
const apiKey = "<YOUR_AIMLAPI_KEY>";
// Creating and sending a video generation task to the server
async function generateVideo() {
const url = "https://api.aimlapi.com/v2/video/generations";
const data = {
model: "google/veo-3.1-reference-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',
],
};
try {
const response = await fetch(url, {
method: "POST",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(data),
});
if (!response.ok) {
const errorText = await response.text();
console.error(`Error: ${response.status} - ${errorText}`);
return null;
}
const responseData = await response.json();
console.log(responseData);
return responseData;
} catch (error) {
console.error("Request failed:", error);
return null;
}
}
// Requesting the result of the task from the server using the generation_id
async function getVideo(genId) {
const url = new URL("https://api.aimlapi.com/v2/video/generations");
url.searchParams.append("generation_id", genId);
try {
const response = await fetch(url, {
method: "GET",
headers: {
Authorization: `Bearer ${apiKey}`,
"Content-Type": "application/json",
},
});
return await response.json();
} catch (error) {
console.error("Error fetching video:", error);
return null;
}
}
// Initiates video generation and checks the status every 10 seconds until completion or timeout
async function main() {
const genResponse = await generateVideo();
if (!genResponse) return;
const genId = genResponse.id;
console.log("Generation ID:", genId);
if (genId) {
const timeout = 600 * 1000; // 10 minutes
const startTime = Date.now();
while (Date.now() - startTime < timeout) {
const responseData = await getVideo(genId);
if (!responseData) {
console.error("Error: No response from API");
break;
}
const status = responseData.status;
console.log("Status:", status);
if (["waiting", "active", "queued", "generating"].includes(status)) {
console.log("Still waiting... Checking again in 10 seconds.");
await new Promise((resolve) => setTimeout(resolve, 10000));
} else {
console.log("Processing complete:\n", responseData);
return responseData;
}
}
console.log("Timeout reached. Stopping.");
}
}
main();
Generation ID: 4ef07b4c-adf2-4439-9a1c-2d3b67f1c0c4:google/veo-3.1-reference-to-video
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: generating
Still waiting... Checking again in 10 seconds.
Status: completed
Processing complete:
{'id': '4ef07b4c-adf2-4439-9a1c-2d3b67f1c0c4:google/veo-3.1-reference-to-video', 'status': 'completed', 'video': {'url': 'https://cdn.aimlapi.com/flamingo/files/b/kangaroo/pGAX6W5_rbZRSV1tbmAvq_output.mp4'}}
