Lyria2 Text to Audio

fal-ai/lyria2
Lyria 2 is Google's latest music generation model, you can generate any type of music with this model.
Inference
Commercial use
Partner

About

Generate music using Google's Lyria 2 text-to-music model.

For best results, prompts should be descriptive and clear. Include:

  • Genre/Style: Specify the musical genre (e.g., "classical", "electronic", "rock", "jazz", "hip hop")
  • Mood/Emotion: Describe the desired feeling or atmosphere (e.g., "happy", "melancholy", "energetic")
  • Instrumentation: List the instruments you want to hear (e.g., "piano", "synthesizer", "acoustic guitar")
  • Tempo/Rhythm: Indicate the speed and feel (e.g., "fast tempo", "slow ballad", "driving beat")
  • Soundscapes/Effects: For non-musical audio, describe the environment or specific sound effects
  • Arrangement/Structure: Briefly describe the progression or layering of sounds if important
  • Production Quality: Terms like "high-quality production," "clean mix," or "vintage recording"

The model supports:

  • 48kHz WAV audio output
  • 30 second duration
  • Negative prompting to exclude unwanted elements
  • Seed-based reproducibility

Safety filters prevent generation of inappropriate content.

1. Calling the API#

Install the client#

The client provides a convenient way to interact with the model API.

npm install --save @fal-ai/client

Setup your API Key#

Set FAL_KEY as an environment variable in your runtime.

export FAL_KEY="YOUR_API_KEY"

Submit a request#

The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.

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

const result = await fal.subscribe("fal-ai/lyria2", {
  input: {
    prompt: "A lush, ambient soundscape featuring the serene sounds of a flowing river, complemented by the distant chirping of birds, and a gentle, melancholic piano melody that slowly unfolds."
  },
  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);

2. Authentication#

The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.

API Key#

In case your app is running in an environment where you cannot set environment variables, you can set the API Key manually as a client configuration.
import { fal } from "@fal-ai/client";

fal.config({
  credentials: "YOUR_FAL_KEY"
});

3. Queue#

Submit a request#

The client API provides a convenient way to submit requests to the model.

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

const { request_id } = await fal.queue.submit("fal-ai/lyria2", {
  input: {
    prompt: "A lush, ambient soundscape featuring the serene sounds of a flowing river, complemented by the distant chirping of birds, and a gentle, melancholic piano melody that slowly unfolds."
  },
  webhookUrl: "https://optional.webhook.url/for/results",
});

Fetch request status#

You can fetch the status of a request to check if it is completed or still in progress.

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

const status = await fal.queue.status("fal-ai/lyria2", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
  logs: true,
});

Get the result#

Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.

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

const result = await fal.queue.result("fal-ai/lyria2", {
  requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);

4. Files#

Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.

Data URI (base64)#

You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.

Hosted files (URL)#

You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.

Uploading files#

We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.

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

const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);

Read more about file handling in our file upload guide.

5. Schema#

Input#

prompt string* required

The text prompt describing the music you want to generate

negative_prompt string

A description of what to exclude from the generated audio

seed integer

A seed for deterministic generation. If provided, the model will attempt to produce the same audio given the same prompt and other parameters.

{
  "prompt": "A lush, ambient soundscape featuring the serene sounds of a flowing river, complemented by the distant chirping of birds, and a gentle, melancholic piano melody that slowly unfolds.",
  "negative_prompt": "vocals, slow tempo"
}

Output#

audio File* required

The generated music

{
  "audio": {
    "url": "https://v3.fal.media/files/koala/9V6ADhxcZrZr2FcaiNA7H_output.wav"
  }
}

Other types#

File#

url string* required

The URL where the file can be downloaded from.

content_type string

The mime type of the file.

file_name string

The name of the file. It will be auto-generated if not provided.

file_size integer

The size of the file in bytes.

file_data string

File data