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Lyria 3 is most recent music model from Google
fal-ai/lyria3
Lyria 3 is most recent music model from Google
Inference
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Generate 30-second music clips using Google's Lyria 3 model.
Lyria 3 is Google's high-fidelity music generation model that combines musical awareness and structural coherence. It generates 30-second music clips from text or image prompts, including vocals and lyrics.
For best results, prompts should include:
The model outputs:
Safety filters prevent generation of content mimicking real artists' voices.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @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.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"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/lyria3", {
input: {
prompt: "An energetic electronic dance track with soaring synth leads, punchy four-on-the-floor kick drums, and a catchy vocal hook singing 'Feel the rhythm, feel the night'. 128 BPM."
},
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);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_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.
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/lyria3", {
input: {
prompt: "An energetic electronic dance track with soaring synth leads, punchy four-on-the-floor kick drums, and a catchy vocal hook singing 'Feel the rhythm, feel the night'. 128 BPM."
},
webhookUrl: "https://optional.webhook.url/for/results",
});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/lyria3", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});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/lyria3", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);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.
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.
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.
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);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.
prompt string* requiredThe text prompt describing the music you want to generate. Include genre, mood, instrumentation, tempo, and vocal style for best results. Lyria 3 supports vocals, lyrics, and multi-language generation.
image_url stringOptional image URL to use as inspiration for music generation. The model will create music that matches the mood and theme of the image.
enable_safety_checker booleanAuthorized callers may set false to request relaxed screening. Default value: true
{
"prompt": "An energetic electronic dance track with soaring synth leads, punchy four-on-the-floor kick drums, and a catchy vocal hook singing 'Feel the rhythm, feel the night'. 128 BPM.",
"image_url": "https://v3b.fal.media/files/b/0a93b559/qjT9o0CId1B65PbD6Yp06_9c94501900464c5aa98f302fa4b00375.png",
"enable_safety_checker": true
}The generated music as an MP3 file.
lyrics stringThe generated or provided lyrics for the track, if applicable.
{
"audio": "https://v3b.fal.media/files/b/0a93b550/klduxmeWsmi304M3zsAlr_output.mp3",
"lyrics": "Caption: This is a high-energy Progressive House anthem, a subgenre of EDM defined by its massive scale and uplifting melodic content, all polished with a clean, powerful, and wide stereo production aesthetic. The rhythmic foundation is a punchy, heavily compressed four-on-the-floor kick drum, modeled after a classic Roland TR-909, providing a relentless pulse at 128 BPM. Supporting the kick are crisp, bright open hi-hats on the off-beats and a thick clap/snare layer on beats 2 and 4. The harmonic and melodic core is built from multiple synth layers: vast, shimmering supersaw synth pads play a soaring major-key chord progression; a powerful, monophonic sawtooth bassline plays the root notes and is aggressively side-chained to the kick drum to create the genre's signature 'pumping' effect. Above it all, a soaring supersaw lead synth—composed of multiple detuned sawtooth waves to create a thick, wide sound—plays a memorable, uplifting arpeggiated melody. A powerful, clean female vocal delivers the catchy hook, processed with significant hall reverb and delay to make it feel enormous and seamlessly blend with the synths. The entire instrumental bed (pads, lead, bass) is also heavily side-chained to the kick, ensuring every element ducks in volume with each beat to maximize the kick's punch and drive the track forward.\nMosic: 4.5\nBPM: 128.0"
}url string* requiredThe URL where the file can be downloaded from.
content_type stringThe mime type of the file.
file_name stringThe name of the file. It will be auto-generated if not provided.
file_size integerThe size of the file in bytes.