Generating an audio 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.
If you want to learn how to call AI models via API from the very basics, feel free to use our Quickstart guide.
API Schemas
post
Body
modelstring · enumRequiredPossible values:
promptstringRequired
The prompt to generate audio.
seconds_startinteger · min: 1 · max: 47Optional
The start point of the audio clip to generate.
seconds_totalinteger · min: 1 · max: 47Optional
The duration of the audio clip to generate.
Default: 30
stepsinteger · min: 1 · max: 1000Optional
The number of steps to denoise the audio.
Default: 100
Responses
200Success
application/json
idstringRequired
The ID of the generated audio.
Example: 60ac7c34-3224-4b14-8e7d-0aa0db708325
statusstring · enumRequired
The current status of the generation task.
Example: completedPossible values:
post
/v2/generate/audio
200Success
Retrieve the generated music sample from the server
After sending a request for music generation, this task is added to the queue. This endpoint lets you check the status of a audio 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 audio URL and additional metadata.
import time
import requests
# Insert your AI/ML API key instead of <YOUR_AIMLAPI_KEY>:
aimlapi_key = '<YOUR_AIMLAPI_KEY>'
# Creating and sending an audio generation task to the server (returns a generation ID)
def generate_audio():
url = "https://api.aimlapi.com/v2/generate/audio"
payload = {
"model": "elevenlabs/eleven_music",
"prompt": "lo-fi pop hip-hop ambient music, slow intro: 10 s, then faster and with loud bass: 10 s",
"seconds_total": 20,
}
headers = {"Authorization": f"Bearer {aimlapi_key}", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
if response.status_code >= 400:
print(f"Error: {response.status_code} - {response.text}")
else:
response_data = response.json()
print("Generation: ", response_data)
return response_data
# Requesting the result of the generation task from the server using the generation_id:
def retrieve_audio(gen_id):
url = "https://api.aimlapi.com/v2/generate/audio"
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()
# This is the main function of the program. From here, we sequentially call the audio generation and then repeatedly request the result from the server every 10 seconds:
def main():
generation_response = generate_audio()
gen_id = generation_response.get("id")
if gen_id:
start_time = time.time()
timeout = 600
while time.time() - start_time < timeout:
response_data = retrieve_audio(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 10 seconds.")
time.sleep(10)
else:
print("Generation 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 audio generation task to the server
function generateAudio(callback) {
const data = JSON.stringify({
model: "elevenlabs/eleven_music",
prompt: "lo-fi pop hip-hop ambient music, slow intro: 10 s, then faster and with loud bass: 10 s",
seconds_total: 20,
});
const url = new URL(`${baseUrl}/generate/audio`);
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} - ${body}`);
callback(null);
} else {
const parsed = JSON.parse(body);
callback(parsed);
}
});
});
req.on("error", (err) => console.error("Request error:", err));
req.write(data);
req.end();
}
// Requesting the result of the task from the server using the generation_id
function getAudio(genId, callback) {
const url = new URL(`${baseUrl}/generate/audio`);
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 sound generation and checks the status every 10 seconds until completion or timeout
function main() {
generateAudio((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 = 10 * 1000; // 10 sec
const startTime = Date.now();
const checkStatus = () => {
if (Date.now() - startTime >= timeout) {
console.log("Timeout reached. Stopping.");
return;
}
getAudio(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 10 seconds.`);
setTimeout(checkStatus, interval);
} else {
console.log("Processing complete:\n", responseData);
}
});
};
checkStatus();
})
}
main();
Generation ID: ed58c4e0-2ed6-429f-91a1-b2c13a89ff46:stable-audio
Status: queued. Checking again in 10 seconds.
Status: generating. Checking again in 10 seconds.
Status: generating. Checking again in 10 seconds.
Status: generating. Checking again in 10 seconds.
Processing complete:
{
id: 'ed58c4e0-2ed6-429f-91a1-b2c13a89ff46:stable-audio',
status: 'completed',
audio_file: {
url: 'https://cdn.aimlapi.com/flamingo/files/b/0a88448e/wxI96EIL4Noe21Zt3XsFc_tmpdwdfh537.wav',
content_type: 'application/octet-stream',
file_name: 'tmpdwdfh537.wav',
file_size: 5292078
}
}
