# Mureka 8 Track Generation

> Generates vocal or instrumental tracks for an existing song or uploaded audio, with controls for track type, musical style, generation region, and optional vocal lyrics.


## Overview

- **Endpoint**: `https://fal.run/mureka/v8/generate/track`
- **Model ID**: `mureka/v8/generate/track`
- **Category**: audio-to-audio
- **Kind**: inference
**Tags**: music, track generation, vocals, instruments



## Pricing

Billing is calculated per generated track. Your request will cost **$0.09** per track, regardless of the selected generation type. Each request returns one track. For **$1** you can generate about **11 tracks**.

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:


- **`song_id`** (`string`, _optional_):
  Generated song ID from song_id in a /generate/song response. Provide exactly one of song_id or upload_audio_id.

- **`upload_audio_id`** (`string`, _optional_):
  Audio ID returned by /files/upload with purpose='audio'. Provide exactly one of song_id or upload_audio_id.

- **`generate_type`** (`GenerateTypeEnum`, _required_):
  Type of musical or vocal track to generate.
  - Options: `"Vocals"`, `"Instrumental"`, `"Drums"`, `"Bass"`, `"Guitar"`, `"Keyboard"`, `"Percussion"`, `"Strings"`, `"Synth"`, `"FX"`, `"Brass"`, `"Woodwinds"`

- **`generate_start`** (`integer`, _optional_):
  Optional start of the generation region in milliseconds.

- **`generate_end`** (`integer`, _optional_):
  Optional end of the generation region in milliseconds. Requires generate_start and must be greater than it.

- **`lyrics`** (`string`, _optional_):
  Lyrics for a generated vocal track, up to 5,000 characters.

- **`prompt`** (`string`, _required_):
  Description of the track's musical style and performance.

- **`vocal_gender`** (`Enum`, _optional_):
  Preferred vocal gender; only valid when generate_type is Vocals.
  - Options: `"female"`, `"male"`

- **`enable_safety_checker`** (`boolean`, _optional_):
  Authorized callers may set false to request relaxed screening. Default value: `true`
  - Default: `true`



**Required Parameters Example**:

```json
{
  "generate_type": "Vocals",
  "prompt": ""
}
```

**Full Example**:

```json
{
  "generate_type": "Vocals",
  "prompt": "",
  "enable_safety_checker": true
}
```


### Output Schema

The API returns the following output format:

- **`song_id`** (`string`, _optional_):
  Reusable identifier for this audio. Pass it to endpoints that accept song_id.

- **`audio`** (`File`, _required_):
  The generated audio file.

- **`duration`** (`integer`, _optional_):
  Duration of the generated audio in milliseconds, when available.

- **`lyrics_sections`** (`list<LyricsSection>`, _optional_):
  Timed lyric sections for the generated audio, when available.
  - Array of LyricsSection



**Example Response**:

```json
{
  "audio": {
    "url": "",
    "content_type": "image/png",
    "file_name": "z9RV14K95DvU.png",
    "file_size": 4404019
  },
  "lyrics_sections": [
    {
      "lines": [
        {
          "words": [
            {}
          ]
        }
      ]
    }
  ]
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/mureka/v8/generate/track \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "generate_type": "Vocals",
     "prompt": ""
   }'
```

### 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(
    "mureka/v8/generate/track",
    arguments={
        "generate_type": "Vocals",
        "prompt": ""
    },
    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("mureka/v8/generate/track", {
  input: {
    generate_type: "Vocals",
    prompt: ""
  },
  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);
```


## Deploy your own model

To run your own weights, a fine-tune or a custom pipeline on the GPUs that serve this API, deploy it on fal Serverless. GPUs from H100 (80GB) to B300 (288GB), billed per second; an H100 is $4.50/h list, as low as $2.49/h. Prices, GPU specs and deploy steps: [fal Serverless](https://fal.ai/serverless.md).

## Additional Resources

### Documentation

- [Model Playground](https://fal.ai/models/mureka/v8/generate/track)
- [API Documentation](https://fal.ai/models/mureka/v8/generate/track/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=mureka/v8/generate/track)

### 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
- [Pricing](https://fal.ai/pricing.md): Model API and Serverless GPU prices
- [fal Serverless](https://fal.ai/serverless.md): Deploy your own models: GPU prices, specs and steps
- Any other model: `https://fal.ai/models/<endpoint-id>/llms.txt`