# Elevenlabs Music v2.5

> Generate high quality, realistic music with fine controls using Elevenlabs Music v2.5!


## Overview

- **Endpoint**: `https://fal.run/elevenlabs/music/v2.5`
- **Model ID**: `elevenlabs/music/v2.5`
- **Category**: text-to-audio
- **Kind**: inference
**Tags**: music, text-to-music



## Pricing

Your request will cost **$0.6** per output audio minute. The audio will be **rounded up** to the closest minute. For instance, a generation with 30 seconds output will be billed as 1 minute.

For more details, see [fal.ai pricing](https://fal.ai/pricing).

## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:


- **`prompt`** (`string`, _optional_):
  The text prompt describing the music to generate
  - Examples: "Mysterious original soundtrack, themes of jungle, rainforest, nature, woodwinds, busy rhythmic tribal percussion."

- **`composition_plan`** (`MusicV2CompositionPlan`, _optional_):
  The chunk-based composition plan for the music

- **`music_length_ms`** (`integer`, _optional_):
  The length of the song to generate in milliseconds. Used only in conjunction with prompt. Must be between 3000ms and 600000ms. Optional - if not provided, the model will choose a length based on the prompt.
  - Range: `3000` to `600000`

- **`force_instrumental`** (`boolean`, _optional_):
  If true, guarantees that the generated song will be instrumental. If false, the song may or may not be instrumental depending on the prompt. Can only be used with prompt.
  - Default: `false`

- **`seed`** (`integer`, _optional_):
  Random seed to initialize the music generation process. Can only be used with composition_plan. The same seed with the same parameters gives more consistent results, but exact reproducibility is not guaranteed.

- **`output_format`** (`OutputFormatEnum`, _optional_):
  Output format of the generated audio. Formatted as codec_sample_rate_bitrate. So an mp3 with 22.05kHz sample rate at 32kbs is represented as mp3_22050_32. Note that the μ-law format (sometimes written mu-law, often approximated as u-law) is commonly used for Twilio audio inputs. Default value: `"mp3_48000_192"`
  - Default: `"mp3_48000_192"`
  - Options: `"mp3_22050_32"`, `"mp3_24000_48"`, `"mp3_44100_32"`, `"mp3_44100_64"`, `"mp3_44100_96"`, `"mp3_44100_128"`, `"mp3_44100_192"`, `"mp3_48000_128"`, `"mp3_48000_192"`, `"mp3_48000_240"`, `"mp3_48000_320"`, `"pcm_8000"`, `"pcm_16000"`, `"pcm_22050"`, `"pcm_24000"`, `"pcm_32000"`, `"pcm_44100"`, `"pcm_48000"`, `"ulaw_8000"`, `"alaw_8000"`, `"opus_48000_32"`, `"opus_48000_64"`, `"opus_48000_96"`, `"opus_48000_128"`, `"opus_48000_192"`



**Required Parameters Example**:

```json
{}
```

**Full Example**:

```json
{
  "prompt": "Mysterious original soundtrack, themes of jungle, rainforest, nature, woodwinds, busy rhythmic tribal percussion.",
  "output_format": "mp3_48000_192"
}
```


### Output Schema

The API returns the following output format:

- **`audio`** (`File`, _required_):
  The generated music audio file in MP3 format
  - Examples: {"content_type":"audio/mpeg","url":"https://storage.googleapis.com/falserverless/example_outputs/elevenlabs/music_generated.mp3","file_name":"music_generated.mp3"}



**Example Response**:

```json
{
  "audio": {
    "content_type": "audio/mpeg",
    "url": "https://storage.googleapis.com/falserverless/example_outputs/elevenlabs/music_generated.mp3",
    "file_name": "music_generated.mp3"
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/elevenlabs/music/v2.5 \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{}'
```

### Python

Ensure you have the Python client installed:

```bash
pip install fal-client
```

Then use the API client to make requests:

```python
import fal_client

def on_queue_update(update):
    if isinstance(update, fal_client.InProgress):
        for log in update.logs:
           print(log["message"])

result = fal_client.subscribe(
    "elevenlabs/music/v2.5",
    arguments={},
    with_logs=True,
    on_queue_update=on_queue_update,
)
print(result)
```

### JavaScript

Ensure you have the JavaScript client installed:

```bash
npm install --save @fal-ai/client
```

Then use the API client to make requests:

```javascript
import { fal } from "@fal-ai/client";

const result = await fal.subscribe("elevenlabs/music/v2.5", {
  input: {},
  logs: true,
  onQueueUpdate: (update) => {
    if (update.status === "IN_PROGRESS") {
      update.logs.map((log) => log.message).forEach(console.log);
    }
  },
});
console.log(result.data);
console.log(result.requestId);
```


## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/elevenlabs/music/v2.5)
- [API Documentation](https://fal.ai/models/elevenlabs/music/v2.5/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=elevenlabs/music/v2.5)

### fal.ai Platform

- [Platform Documentation](https://fal.ai/docs/documentation)
- [Python Client](https://fal.ai/docs/api-reference/client-libraries/python)
- [JavaScript Client](https://fal.ai/docs/api-reference/client-libraries/javascript)

### Other agent-readable surfaces

This file covers one model. To find anything else:

- [Platform overview](https://fal.ai/llms.txt): Entry points and representative endpoint IDs
- [Documentation index](https://fal.ai/docs/llms.txt): Every documentation page
- [Full documentation text](https://fal.ai/docs/llms-full.txt): The whole documentation inlined
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`