eleven_music
Model Overview
An advanced audio generation model designed to create high-quality audio tracks from textual prompts.
How to Make a Call
Quick Code Example
Here is an example of generation an audio file based on a prompt using this music model.
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",
"music_length_ms": 20000,
}
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 == "generating" or status == "queued" or status == "waiting":
print("Still waiting... 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()Listen to the track we generated:
lo-fi pop hip-hop ambient music, slow intro: 10 s, then faster and with loud bass: 10 s"API Schemas
Generate a music sample
This endpoint creates and sends a music generation task to the server — and returns a generation ID and the task status.
A text description that can define the genre, mood, instruments, vocals, tempo, structure, and even lyrics of the track. It can be high-level (“peaceful meditation with voiceover”) or detailed (“solo piano in C minor, 90 BPM, raw and emotional”). Use keywords to control genre, emotional tone, vocals (e.g., a cappella, two singers harmonizing), structure (e.g., “lyrics begin at 15 seconds”), or provide custom lyrics directly in the prompt.
The length of the song to generate in milliseconds. This parameter may not always be respected by the model, and the actual audio length can differ.
10000{
"id": "text",
"status": "queued"
}Retrieve the generated music sample from the server
After sending a request for music generation, this task is added to the queue. Based on the service's load, the generation can be completed in 30-40 seconds or take a bit more.
{
"id": "text",
"status": "queued",
"audio_file": {
"url": "https://example.com"
},
"error": null
}Last updated
Was this helpful?