Lyria2 Text to Audio
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
Migrate to @fal-ai/client
The @fal-ai/serverless-client
package has been deprecated in favor of @fal-ai/client
. Please check the migration guide for more information.
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#
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#
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);
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
* requiredThe 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#
The generated music
{
"audio": {
"url": "https://v3.fal.media/files/koala/9V6ADhxcZrZr2FcaiNA7H_output.wav"
}
}
Other types#
File#
url
string
* requiredThe 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