ltxv-2
The model generates realistic 6-, 8-, and 10-second videos (up to 4K resolution) with detailed visuals and audio.
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 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.
The length of the output video in seconds.
The resolution of the output video, where the number refers to the short side in pixels.
1080pPossible values: The aspect ratio of the generated video.
16:9Possible values: Frames per second of the generated video.
Whether to generate audio for the video.
trueSuccessfully generated video
async function main() {
const response = await fetch('https://api.aimlapi.com/v2/video/generations', {
method: 'POST',
headers: {
'Authorization': 'Bearer <YOUR_API_KEY>',
'Content-Type': 'application/json',
},
body: JSON.stringify({
"model": "ltxv/ltxv-2",
"prompt": "A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming."
}),
});
const data = await response.json();
console.log(JSON.stringify(data, null, 2));
}
main();Successfully generated video
{
"id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
"status": "completed",
"video": {
"url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4",
"duration": 8
},
"duration": 8,
"error": null,
"meta": {
"usage": {
"tokens_used": 120000
}
}
}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 generation_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.
Successfully generated video
GET /v2/video/generations?generation_id=text HTTP/1.1
Host: api.aimlapi.com
Accept: */*
Successfully generated video
{
"id": "60ac7c34-3224-4b14-8e7d-0aa0db708325",
"status": "completed",
"video": {
"url": "https://cdn.aimlapi.com/generations/hedgehog/1759866285599-0cdfb138-c03a-49d4-a601-4f6413e27b15.mp4",
"duration": 8
},
"duration": 8,
"error": null,
"meta": {
"usage": {
"tokens_used": 120000
}
}
}Full Example: Generating and Retrieving the Video From the Server
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 AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
api_key = "<YOUR_AIMLAPI_KEY>"
# Creating and sending a video generation task to the server
def generate_video():
url = "https://api.aimlapi.com/v2/video/generations"
headers = {
"Authorization": f"Bearer {api_key}",
}
data = {
"model": "ltxv/ltxv-2",
"prompt": "A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming. He's roaring: WHERE ARE MY TREASURES?",
"duration": 6
}
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 = "https://api.aimlapi.com/v2/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():
# Generate video
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 = 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")
if status in ["waiting", "active", "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()// Insert your AIML API Key instead of <YOUR_AIMLAPI_KEY>
const apiKey = "<YOUR_AIMLAPI_KEY>";
const baseUrl = "https://api.aimlapi.com/v2";
const https = require("https");
const { URL } = require("url");
// Creating and sending a video generation task to the server
function generateVideo(callback) {
const data = JSON.stringify({
model: "ltxv/ltxv-2",
prompt: `
A menacing evil dragon appears in a distance above the tallest mountain, then rushes toward the camera with its jaws open, revealing massive fangs. We see it's coming.
`,
duration: 6,
});
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} - ${body}`);
callback(null);
} else {
const result = JSON.parse(body);
callback(result);
}
});
});
req.on("error", (err) => {
console.error("Request error:", err);
callback(null);
});
req.write(data);
req.end();
}
// Requesting the result of the task from the server using the generation_id
function getVideo(genId, callback) {
const url = new URL(`${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 result = JSON.parse(body);
callback(result);
});
});
req.on("error", (err) => {
console.error("Request error:", err);
callback(null);
});
req.end();
}
// Initiates video generation and checks the status every 10 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
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 (["waiting", "active", "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();Processing time: 1 min 10 sec.
Generated Video (1920x1080, with sound):
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