eleven_music

This documentation is valid for the following list of our models:

• elevenlabs/eleven_music

An advanced audio generation model designed to create high-quality audio tracks from textual prompts.

How to Make a Call

Step-by-Step Instructions

1️ Setup You Can’t Skip

▪️ Create an Account: Visit the AI/ML API website and create an account (if you don’t have one yet). ▪️ Generate an API Key: After logging in, navigate to your account dashboard and generate your API key. Ensure that key is enabled on UI.

2️ Copy the code example

At the bottom of this page, you'll find a code example that shows how to structure the request. Choose the code snippet in your preferred programming language and copy it into your development environment.

Generating a music piece using this model involves sequentially calling two endpoints:

• The first one is for creating and sending a music generation task to the server (returns a generation ID).

• The second one is for requesting the generated piece from the server using the generation ID received from the first endpoint.

The code example combines both endpoint calls.

3️ Modify the code example

▪️ Replace <YOUR_AIMLAPI_KEY> with your actual AI/ML API key from your account. ▪️ Provide your instructions via the prompt parameter. The model will use them to generate a musical composition.

4️ ^_(Optional) Adjust other optional parameters if needed

Only prompt is a required parameter for this model (and we’ve already filled it in for you in the example), but you can include optional parameters if needed to adjust the model’s behavior. Below, you can find the corresponding API schema ("Generate a music sample"), which lists all available parameters along with notes on how to use them.

5️ Run your modified code

Run your modified code in your development environment. Response time depends on various factors, but for simple prompts it rarely exceeds 30 seconds.

If you need a more detailed walkthrough for setting up your development environment and making a request step by step — feel free to use our Quickstart guide.

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.

post

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Body

application/json

modelundefined · enumRequiredPossible values:

promptstring · max: 2000Required

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.

music_length_msinteger · min: 10000 · max: 300000Optional

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.

Default: 10000

Responses

default

application/json

default

{
  "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.

get

Authorizations

access-token

AuthorizationstringRequired

Bearer key

Query parameters

generation_idstringRequired

Responses

default

application/json

default

{
  "id": "text",
  "status": "queued",
  "audio_file": {
    "url": "https://example.com"
  },
  "error": null
}

Quick Code Example

Here is an example of generation an audio file based on a prompt using this music model.

Python

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()

Response

Generation: {'status': 'queued', 'id': '60ac7c34-3224-4b14-8e7d-0aa0db708325:elevenlabs/eleven_music'}
Still waiting... Checking again in 10 seconds.
Still waiting... Checking again in 10 seconds.
Generation complete:/n {'id': '60ac7c34-3224-4b14-8e7d-0aa0db708325:elevenlabs/eleven_music', 'status': 'completed', 'audio_file': {'url': 'https://cdn.aimlapi.com/generations/hippopotamus/1757963033314-8ca7729d-b78c-4d4c-9ef9-89b2fb3d07e8.mp3'}}

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"