# Mureka 9.5 Song Generation

> Generates songs from a text prompt or supplied lyrics, with musical style, vocal, reference-audio, and melody controls, plus support for multiple variations.


## Overview

- **Endpoint**: `https://fal.run/mureka/v9.5/generate/song`
- **Model ID**: `mureka/v9.5/generate/song`
- **Category**: text-to-audio
- **Kind**: inference
**Tags**: music, vocals, song generation



## Pricing

A lyics-to-song request will cost **$0.225** per request, while a prompt-to-song request will cost **$ 0.75**  per request.

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:


- **`model`** (`ModelEnum`, _optional_):
  The model to use for song generation. Default value: `"mureka-9.5"`
  - Default: `"mureka-9.5"`
  - Options: `"mureka-7.6"`, `"mureka-o2"`, `"mureka-8"`, `"mureka-9"`, `"mureka-9.5"`

- **`lyrics`** (`string`, _optional_):
  Lyrics to sing, up to 5,000 characters. Provide this for lyrics-to-song generation; otherwise provide prompt for prompt-to-song generation.

- **`styles`** (`list<Enum>`, _optional_):
  One or more musical genres for prompt-to-song generation. This cannot be used when lyrics is provided.
  - Array of Enum
  - Examples: ["pop","rock"]

- **`prompt`** (`string`, _optional_):
  Describe the desired song, mood, instrumentation, and vocals. Required when lyrics is omitted; with lyrics, it acts as a music-style control.
  - Examples: "A bright summer love song with a catchy chorus"

- **`gender`** (`Enum`, _optional_):
  Preferred vocal gender for lyrics-to-song generation. An uploaded or cloned voice takes precedence.
  - Options: `"female"`, `"male"`

- **`reference_id`** (`string`, _optional_):
  Reference-music ID returned by /files/upload with purpose='reference'.

- **`vocal_id`** (`string`, _optional_):
  Voice ID returned by /voice/clone.

- **`melody_id`** (`string`, _optional_):
  Melody ID returned by /files/upload with purpose='melody'. This cannot be combined with prompt, reference_id, or vocal_id.



**Required Parameters Example**:

```json
{}
```

**Full Example**:

```json
{
  "model": "mureka-9.5",
  "styles": [
    "pop",
    "rock"
  ],
  "prompt": "A bright summer love song with a catchy chorus"
}
```


### 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/v9.5/generate/song \
  --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(
    "mureka/v9.5/generate/song",
    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("mureka/v9.5/generate/song", {
  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/mureka/v9.5/generate/song)
- [API Documentation](https://fal.ai/models/mureka/v9.5/generate/song/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=mureka/v9.5/generate/song)

### 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`