This model generates videos with synchronized audio. For lip-sync input, you may either supply text with a predefined voice, or pass a URL to an external audio file containing speech.
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
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 video and a prompt. This endpoint creates and sends a video generation task to the server — and returns a generation ID.
post
Body
modelstring · enumRequiredPossible values:
video_urlstring · uriRequired
A HTTPS URL pointing to a video or a data URI containing a video. This video will be used as a reference during generation.
audio_urlstring · uriOptional
A direct link to an online audio file or a Base64-encoded local to an audio file used for lip-syncing in the video. Use either audio_url or (lip_sync_tts_speaker together with lip_sync_tts_content), but not both.
lip_sync_tts_contentstringOptional
The text content to be lip-synced in the video. Use either audio_url or (lip_sync_tts_speaker together with lip_sync_tts_content), but not both.
lip_sync_tts_speakerstring · enumOptional
A predefined system voice used for generating speech in the video. Use either audio_url or (lip_sync_tts_speaker together with lip_sync_tts_content), but not both.
Possible values:
Responses
200Success
application/json
idstringRequired
The ID of the generated video.
Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325
statusstring · enumRequired
The current status of the generation task.
Example: completedPossible values:
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.
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": "pixverse/lip-sync",
"video_url": "https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/racoon-in-the-forest.mp4",
"lip_sync_tts_content": "Through the forest, past the roots — I’ve got to get there fast! No time to stop!",
"lip_sync_tts_speaker": "Oliver"
}
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():
# Running video generation and getting a task id
gen_response = generate_video()
print(gen_response)
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
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()
// 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: 'pixverse/lip-sync',
video_url: 'https://raw.githubusercontent.com/aimlapi/api-docs/main/reference-files/racoon-in-the-forest.mp4',
lip_sync_tts_content: 'Through the forest, past the roots — I’ve got to get there fast! No time to stop!',
lip_sync_tts_speaker: 'Oliver'
};
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 15 seconds until completion or timeout
async function main() {
const genResponse = await generateVideo();
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 = async () => {
if (Date.now() - startTime >= timeout) {
console.log("Timeout reached. Stopping.");
return;
}
const responseData = await getVideo(genId);
if (!responseData) {
console.error("Error: No response from API");
return;
}
const status = responseData.status;
if (["waiting", "queued", "generating"].includes(status)) {
console.log(`Status: ${status}. Checking again in 15 seconds.`);
await new Promise(resolve => setTimeout(resolve, interval));
return checkStatus();
} else {
console.log("Processing complete:\n", responseData);
}
};
await checkStatus();
}
main();
{'id': 'z-IMFJo2ORUJBR7OWIqDM', 'status': 'queued', 'meta': {'usage': {'credits_used': 2000000}}}
Generation ID: z-IMFJo2ORUJBR7OWIqDM
Status: queued. Checking again in 15 seconds.
Status: generating. Checking again in 15 seconds.
Processing complete:
{'id': 'z-IMFJo2ORUJBR7OWIqDM', 'status': 'succeeded', 'video': {'url': 'https://cdn.aimlapi.com/panda/pixverse%2Fmp4%2Fmedia%2Fweb%2Fori%2FPUQnIoDi49sKyQ48-vAtQ_seed0.mp4'}}
