# Mureka 9.5 Lyrics Generation

> Writes song lyrics and a title from a text prompt describing a topic, theme, or song concept.


## Overview

- **Endpoint**: `https://fal.run/mureka/api/generate/lyrics`
- **Model ID**: `mureka/api/generate/lyrics`
- **Category**: text-to-text
- **Kind**: inference
**Tags**: music, lyrics, text generation



## Pricing

- **Price**: $0.0135 per requests

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_):
  Topic, theme, or title to use when writing the lyrics.
  - Examples: "Embrace of Night"



**Required Parameters Example**:

```json
{
  "prompt": "Embrace of Night"
}
```


### Output Schema

The API returns the following output format:

- **`title`** (`string`, _required_):
  The title generated from the prompt.

- **`lyrics`** (`string`, _required_):
  The lyrics generated from the prompt.



**Example Response**:

```json
{
  "title": "",
  "lyrics": ""
}
```


## Usage Examples

### cURL

```bash
curl --request POST \
  --url https://fal.run/mureka/api/generate/lyrics \
  --header "Authorization: Key $FAL_KEY" \
  --header "Content-Type: application/json" \
  --data '{
     "prompt": "Embrace of Night"
   }'
```

### 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/api/generate/lyrics",
    arguments={
        "prompt": "Embrace of Night"
    },
    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/api/generate/lyrics", {
  input: {
    prompt: "Embrace of Night"
  },
  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/api/generate/lyrics)
- [API Documentation](https://fal.ai/models/mureka/api/generate/lyrics/api)
- [OpenAPI Schema](https://fal.ai/api/openapi/queue/openapi.json?endpoint_id=mureka/api/generate/lyrics)

### 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`