# Stable Audio Open

> Open source text-to-audio model.


## Overview

- **Endpoint**: `https://fal.run/fal-ai/stable-audio`
- **Model ID**: `fal-ai/stable-audio`
- **Category**: text-to-audio
- **Kind**: inference
**Tags**: music



## Pricing

- **Price**: $0 per compute seconds

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`, _required_):
  The prompt to generate audio from
  - Examples: "128 BPM tech house drum loop"

- **`seconds_start`** (`integer`, _optional_):
  The start point of the audio clip to generate
  - Default: `0`
  - Range: `0` to `47`

- **`seconds_total`** (`integer`, _optional_):
  The duration of the audio clip to generate Default value: `30`
  - Default: `30`
  - Range: `0` to `47`

- **`steps`** (`integer`, _optional_):
  The number of steps to denoise the audio for Default value: `100`
  - Default: `100`
  - Range: `2` to `1000`



**Required Parameters Example**:

```json
{
  "prompt": "128 BPM tech house drum loop"
}
```

**Full Example**:

```json
{
  "prompt": "128 BPM tech house drum loop",
  "seconds_total": 30,
  "steps": 100
}
```


### Output Schema

The API returns the following output format:

- **`audio_file`** (`File`, _required_):
  The generated audio clip



**Example Response**:

```json
{
  "audio_file": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  }
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/fal-ai/stable-audio \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "128 BPM tech house drum loop"
   }'
```

### 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(
    "fal-ai/stable-audio",
    arguments={
        "prompt": "128 BPM tech house drum loop"
    },
    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("fal-ai/stable-audio", {
  input: {
    prompt: "128 BPM tech house drum loop"
  },
  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/fal-ai/stable-audio)
- [API Documentation](https://fal.ai/models/fal-ai/stable-audio/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=fal-ai/stable-audio)
- [GitHub Repository](https://huggingface.co/stabilityai/stable-audio-open-1.0/blob/main/LICENSE)

### fal.ai Platform

- [Platform Documentation](https://docs.fal.ai)
- [Python Client](https://docs.fal.ai/clients/python)
- [JavaScript Client](https://docs.fal.ai/clients/javascript)