MiniMax (Hailuo AI) Music v1.5 Text to Audio API Docs | fal

fal-ai/minimax-music/v1.5

v1.5

Generate music from text prompts using the MiniMax model, which leverages advanced AI techniques to create high-quality, diverse musical compositions.

Table of contents

1. Calling the 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("fal-ai/minimax-music/v1.5", {
input: {
prompt: "[verse]\n Fast and Limitless\n In the heart of the code, where dreams collide,\n\nFAL's the name, taking tech for a ride.\nGenerative media, blazing the trail,\n\nFast inference power, we'll never fail.\n##",
lyrics_prompt: "R&B, energetic"
},
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"
});

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("fal-ai/minimax-music/v1.5", {
input: {
prompt: "[verse]\n Fast and Limitless  \n In the heart of the code, where dreams collide,  \n\nFAL's the name, taking tech for a ride.\nGenerative media, blazing the trail,  \n\nFast inference power, we'll never fail.\n##",
lyrics_prompt: "R&B, energetic"
},
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/minimax-music/v1.5", {
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("fal-ai/minimax-music/v1.5", {
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).

5. Schema

Input

{
  "prompt": "[verse]\n Fast and Limitless   \n In the heart of the code, where dreams collide,   \n\nFAL's the name, taking tech for a ride.    \nGenerative media, blazing the trail,   \n\nFast inference power, we'll never fail.\n##",
  "lyrics_prompt": "R&B, energetic"
}

Output

{
  "audio": {
    "url": "https://v3.fal.media/files/lion/b3-wJ5bbmVo8S-KPqDBMK_output.mp3"
  }
}

Other types

TextToMusic20Request

... (and so on for other types)