google/lyria-3.5

Lyria 3.5 is Google DeepMind's latest music generation model, and you can generate almost any type of music with it

Inference

Commercial use

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Schema

LLMs

Playground API Examples

About

Generate full-length songs using Google's Lyria 3.5 model.

Lyria 3.5 is Google's most capable music generation model, producing complete, structured songs up to a few minutes long from text or image prompts. It includes advanced controls for fully timed lyrics, precise tempo, and complex arrangement structure.

For best results, prompts should include:

Genre/Style: e.g., "pop ballad", "jazz fusion", "cinematic orchestral"
Mood/Emotion: e.g., "triumphant", "intimate", "nostalgic"
Instrumentation: e.g., "full orchestra", "acoustic band", "electronic production"
Tempo: e.g., "90 BPM", "allegro", "moderate groove"
Structure: use timestamp markers like '[0:00-0:30] Intro: soft piano...' or describe duration e.g. "a 2-minute track"
Vocal style: e.g., "soulful female vocals", "male baritone", "choir"
Language: supports English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese

The model outputs:

Full-length MP3 audio (44.1 kHz stereo)
Optional generated or user-specified lyrics
SynthID watermarking for content provenance

Safety filters prevent generation of content mimicking real artists' voices.

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

Migrate to @fal-ai/client

The @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.

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("google/lyria-3.5", {
  input: {
    prompt: "An uplifting pop song with driving electric guitar, energetic drums, and a catchy chorus singing 'Rise up and shine today'. 120 BPM. Two minutes long with a verse-chorus-verse-chorus-bridge-chorus structure."
  },
  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 an environment where you cannot set environment variables, you can configure the API key manually on the client.

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

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

Protect your API Key

When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.

3. Queue#

Long-running requests

For long-running requests, such as training jobs or models with slower inference times, it is recommended to check the Queue status and rely on Webhooks instead of blocking while waiting for the result.

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("google/lyria-3.5", {
  input: {
    prompt: "An uplifting pop song with driving electric guitar, energetic drums, and a catchy chorus singing 'Rise up and shine today'. 120 BPM. Two minutes long with a verse-chorus-verse-chorus-bridge-chorus structure."
  },
  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("google/lyria-3.5", {
  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("google/lyria-3.5", {
  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);

Auto uploads

The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).

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. Include genre, mood, instrumentation, tempo, vocals, and structure for best results. Lyria 3.5 supports full-length songs up to a few minutes — use timestamps or duration hints in your prompt to control song length, e.g. 'a 2-minute track' or section markers like '[0:00-0:30] Intro: ...' / '[0:30-1:00] Verse: ...'. Supports English, German, Spanish, French, Hindi, Japanese, Korean, and Portuguese.

image_url string

Optional image URL to use as visual inspiration for music generation. The model will create music that matches the mood and theme of the image.

{
  "prompt": "An uplifting pop song with driving electric guitar, energetic drums, and a catchy chorus singing 'Rise up and shine today'. 120 BPM. Two minutes long with a verse-chorus-verse-chorus-bridge-chorus structure.",
  "image_url": "https://v3b.fal.media/files/b/0a93b559/qjT9o0CId1B65PbD6Yp06_9c94501900464c5aa98f302fa4b00375.png"
}

Output#

audio File* required

The generated music as an MP3 file.

lyrics string

The generated or provided lyrics for the track, if applicable.

{
  "audio": "https://v3b.fal.media/files/b/0a93b550/klduxmeWsmi304M3zsAlr_output.mp3",
  "lyrics": "[[A0]]\n[[B1]]\n[12.0:] Dust motes dancing in the light,\n[:] Morning breaks so soft and white."
}

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.

google/lyria-3.5

Table of contents

1. Calling the API

2. Authentication

3. Queue

4. Files

5. Schema

About

1. Calling the API#

Install the client#

Migrate to @fal-ai/client

Setup your API Key#

Submit a request#

2. Authentication#

API Key#

Protect your API Key

3. Queue#

Long-running requests

Submit a request#

Fetch request status#

Get the result#

4. Files#

Data URI (base64)#

Hosted files (URL)#

Uploading files#

Auto uploads

5. Schema#

Input#

Output#

Other types#

File#