Music 02 | Realistic Voice & TTS API

minimax /

Minimax Music-02 is a compact, fast, cost-effective MoE music generator (230B params, 10B active) for high-quality music production. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio

Input

Enable Safety Checker

Idle

$0.03per run·~33 / $1

ExamplesView all

A melancholic indie dream-pop song sung by a soft male voice, light guitars and distant reverb. Emotional and reflective.

An ethereal electronic vocal performance with auto-tune effects, floating tone, cinematic reverb

A gentle female voice singing a heartfelt pop ballad, emotional yet controlled, with a soft piano accompaniment.

A warm acoustic folk song sung by a male voice with gentle guitar and ambient background. Emotional, melodic, storytelling tone.

A powerful rock anthem sung by a raspy male vocal, with driving electric guitars, drums, and cinematic energy. Must sound like a live stadium performance.

An ethereal orchestral vocal performance with reverb and layered harmonies. Female vocal sings in a haunting, angelic tone, with cinematic strings and atmosphere.

A cinematic pop-rock anthem sung by a powerful male voice, with strong rhythm and rising strings. Heroic and emotional.

A melodic modern pop song with emotional female vocals and soft piano + ambient strings. Starts intimate, then builds into an uplifting chorus

A dreamy electronic pop track sung by a female voice, featuring reverb vocals, synth pads, and emotional delivery

An epic cinematic vocal performance with full orchestra, hybrid drums, and a strong female lead voice. Powerful, emotional, heroic tone.

Related Models

video-01

image-to-video

speech-2.5-hd-preview

text-to-audio

voice-design

text-to-audio

voice-clone

audio-to-audio

speech-02-turbo

text-to-audio

speech-02-hd

text-to-audio

README

MiniMax Music 02

MiniMax Music 02 is an AI music generation model that turns a style prompt + lyrics into a complete song. Describe the mood, genre, and vocal style, paste your lyrics, and the model produces fully arranged audio with vocals and backing instruments.

What it can do

Prompt-guided composition Generate songs from natural language prompts like “melancholic indie dream-pop with soft male vocals and light guitars.”
Lyric-aware singing Paste structured lyrics (verses, chorus, bridge) and the model sings them, aligning melody and phrasing to your text.
Full arrangement Produces a mixed track with vocals, backing instruments, and effects — ready for demos, temp tracks, or creative exploration.
Configurable audio quality Supports multiple bitrates and sample rates (e.g., 256 kbps, 44.1 kHz) so you can balance quality and file size.

Inputs

prompt (required) Musical description: genre, mood, instrumentation, vocal style, atmosphere.
lyrics (required) The words to sing. You can structure them by sections (Verse, Chorus, Bridge) using plain text.
bitrate Target audio bitrate, e.g. 256000 for 256 kbps.
sample_rate Audio sample rate, e.g. 44100 Hz.
Output: A single audio file (song) matching your prompt and lyrics.

Pricing

Per run just needs $0.03!

How to use

Write a prompt describing style, mood, tempo, instruments, and vocal character.
Paste your lyrics, with simple section labels if helpful (Verse, Chorus, Bridge).
Choose bitrate and sample_rate according to your quality needs.
Click Run to generate the song, then listen in the preview panel and download the audio.

Tips for better songs

Keep prompts concise but specific: mention genre, mood, and key instruments.
Structure lyrics into short lines and clear sections to improve phrasing.
For more “radio-ready” sound, use higher bitrate and standard 44.1 kHz sample rate.
Iterate: tweak only one aspect of the prompt at a time (e.g., “more reverb”, “slower tempo”) to refine the sound.

Accessibility:This website uses AI models provided by third parties.

Music 02 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/minimax/music-02 with your input as JSON. The endpoint returns a prediction id; poll the prediction endpoint until status flips to completed, then read the output URL from data.outputs[0]. Examples for Music 02 below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/minimax/music-02" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "bitrate": 256000,
    "sample_rate": 44100
}'

# Response includes a prediction id. Poll for the result:
curl -X GET "https://api.wavespeed.ai/api/v3/predictions/{request_id}/result" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY"

# When status is "completed", read the output from data.outputs[0].

Node.js example

// npm install wavespeed
const WaveSpeed = require('wavespeed');

const client = new WaveSpeed(); // reads WAVESPEED_API_KEY from env

const result = await client.run("minimax/music-02", {
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "bitrate": 256000,
        "sample_rate": 44100
});

console.log(result.outputs[0]); // → URL of the generated output

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "minimax/music-02",
    {
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "bitrate": 256000,
    "sample_rate": 44100
}
)

print(output["outputs"][0])  # → URL of the generated output

Music 02 API — Frequently asked questions

What is the Music 02 API?

Music 02 is a MiniMax model for audio generation, exposed as a REST API on WaveSpeedAI. Minimax Music-02 is a compact, fast, cost-effective MoE music generator (230B params, 10B active) for high-quality music production. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Music 02 API?

POST your input parameters to the model's REST endpoint (shown in the API tab of this playground) with your WaveSpeedAI API key in the Authorization header. Submission returns a prediction ID; poll the prediction endpoint until status flips to "completed", then read the output URL from the result. The playground generates a ready-to-paste code sample in Python, JavaScript, or cURL for whatever inputs you've set. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-02.

How much does Music 02 cost per run?

Music 02 starts at $0.030 per run. That figure is the base price — the final charge scales with the parameters you set in the form (output size, length, count, references, or whatever knobs this model exposes), so a higher-quality or larger output costs more than a minimal one. The exact cost for your current input is shown live next to the Generate button before you submit, and the actual per-call charge is recorded on the prediction afterwards.

What inputs does Music 02 accept?

Key inputs: `prompt`, `bitrate`, `lyrics`, `sample_rate`. The full JSON schema (types, defaults, allowed values) is rendered above the Generate button and mirrored in the API reference at https://wavespeed.ai/docs/docs-api/minimax/minimax-music-02.

How long does Music 02 take to generate?

Average end-to-end generation time on WaveSpeedAI is around 138 seconds per request — measured across recent runs. Queue time scales with global demand; live status is visible in the prediction record.

Can I use Music 02 outputs commercially?

Commercial usage rights depend on the model's license, set by its provider (MiniMax). The license summary appears on the model card above; see WaveSpeedAI's Terms of Service for platform-level conditions.