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ACE-Step 1.5 generates up to 4-minute music with lyrics from text. Supports 50+ languages, high acoustic fidelity, and runs efficiently on consumer hardware. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

text-to-audio
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Bereit

$0.0003pro Durchlauf·~3333 / $1

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README

ACE Step 1.5

ACE Step 1.5 is an ultra-affordable AI music generation model that creates songs from style tags and lyrics. With support for up to 4-minute tracks and flexible duration control, it delivers quality music at an extremely low cost.

Why Choose This?

  • Ultra-low cost Generate music at a fraction of a cent per second.

  • Long-form generation Create tracks up to 240 seconds (4 minutes) in length.

  • Flexible duration Precise control over output length with a slider.

  • Tag-based styling Use comma-separated tags to define genre, instruments, and mood.

  • Structured lyrics Support for [Verse], [Chorus], [Bridge] and other section markers.

Parameters

ParameterRequiredDescription
tagsYesStyle tags: genre, instruments, mood (comma-separated)
lyricsNoSong lyrics with structure markers
durationNoTrack length in seconds (up to 240, default: 60)
seedNoRandom seed for reproducibility (-1 for random)

Tags Format

Use comma-separated values to describe the musical style:

Examples:

steampunk, electro swing, jazz, piano, ticking clock

pop, female vocals, upbeat, guitar, 120bpm

lo-fi, chill, ambient, piano, rainy mood

Lyrics Format

Use structure markers in brackets to guide song arrangement:

[Verse] Ticking tocking goes the clock Turning keys and pick the lock Steam is rising, gears go round Listen to that brassy sound

[Chorus] Round and round we go today In this smoky cabaret Fix the future, fix the past

How to Use

  1. Enter your tags — describe the musical style with comma-separated tags.
  2. Write your lyrics (optional) — add structured lyrics with section markers.
  3. Set duration — choose track length up to 240 seconds.
  4. Set seed (optional) — use a specific seed for reproducible results.
  5. Run — submit and download your generated music.

Pricing

DurationCost
Per second$0.0003

Best Use Cases

  • Background Music — Generate affordable background tracks for videos and content.
  • Demo Production — Quickly prototype song ideas at minimal cost.
  • Bulk Generation — Produce large volumes of music cost-effectively.
  • Content Creation — Custom music for social media, podcasts, and games.
  • Experimentation — Explore styles and ideas without worrying about cost.

Pro Tips

  • Combine multiple style tags for more specific results.
  • Use structure markers in lyrics for well-arranged songs.
  • Generate longer tracks (240s) for full-length background music.
  • Leave lyrics empty for instrumental-only tracks.
  • Use the same seed to reproduce identical results.
  • Experiment freely — each minute costs less than $0.02.

Notes

  • Tags is the only required field.
  • Maximum track duration is 240 seconds (4 minutes).
  • Without lyrics, the model generates instrumental music.
  • Seed value -1 generates a random seed each time.

Related Models

Hinweis:Diese Website nutzt KI-Modelle von Drittanbietern. Dokumentationspreise dienen nur als Referenz und können veraltet sein. Die Schaltfläche „Generate“ zeigt eine Schätzung; maßgeblich ist der endgültige Auftragspreis.

Ace Step 1.5 API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step-1.5 with your input as JSON. The endpoint returns a prediction id. Start polling the result endpoint around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. On completed, read output values from data.outputs. Examples for Ace Step 1.5 below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "tags": "example",
    "lyrics": "example",
    "duration": 60
}
JSON
)

# 1. Submit the prediction.
SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  -X POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step-1.5" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d "$REQUEST_BODY")

TASK=$(printf '%s' "$SUBMIT_RESPONSE" | jq 'if has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "$TASK" | jq -r '.id')
if [ -z "$PREDICTION_ID" ] || [ "$PREDICTION_ID" = "null" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"

# 2. Poll until the prediction finishes.
while true; do
  RESPONSE=$(curl --silent --show-error --fail-with-body "$RESULT_URL" \
    -H "Authorization: Bearer $WAVESPEED_API_KEY")
  RESULT=$(printf '%s' "$RESPONSE" | jq 'if has("data") then .data else . end')
  STATUS=$(printf '%s' "$RESULT" | jq -r '.status')
  case "$STATUS" in
    completed) printf '%s\n' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step-1.5";
const apiKey = process.env.WAVESPEED_API_KEY;
if (!apiKey) throw new Error('Set WAVESPEED_API_KEY');

async function requestJson(url, options = {}) {
  const response = await fetch(url, options);
  if (!response.ok) throw new Error(await response.text());
  return response.json();
}

// 1. Submit the prediction.
const body = await requestJson(submitUrl, {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "tags": "example",
        "lyrics": "example",
        "duration": 60
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = `https://api.wavespeed.ai/api/v3/predictions/${task.id}/result`;

// 2. Poll until the prediction finishes.
while (true) {
  const resultBody = await requestJson(resultUrl, {
    headers: { "Authorization": `Bearer ${apiKey}` },
  });
  const result = resultBody.data ?? resultBody;
  if (result.status === "completed") {
    console.log(result.outputs);
    break;
  }
  if (["failed", "cancelled", "timeout", "deleted"].includes(result.status)) throw new Error(JSON.stringify(result));
  await new Promise(resolve => setTimeout(resolve, 2000));
}
Python example
import json
import os
import time
from urllib.request import Request, urlopen

api_key = os.environ["WAVESPEED_API_KEY"]
headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
payload = {
    "tags": "example",
    "lyrics": "example",
    "duration": 60
}

def request_json(url, data=None):
    request = Request(url, data=data, headers=headers, method="POST" if data else "GET")
    with urlopen(request) as response:
        return json.load(response)

# 1. Submit the prediction.
body = request_json("https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step-1.5", json.dumps(payload).encode())
task = body.get("data", body)
if not task.get("id"):
    raise RuntimeError("Submission response did not contain a prediction id")
result_url = f"https://api.wavespeed.ai/api/v3/predictions/{task['id']}/result"

# 2. Poll until the prediction finishes.
while True:
    result_body = request_json(result_url)
    result = result_body.get("data", result_body)
    status = result.get("status")
    if status == "completed":
        print(result.get("outputs", []))
        break
    if status in {"failed", "cancelled", "timeout", "deleted"}:
        raise RuntimeError(result)
    time.sleep(2)

Ace Step 1.5 API — Frequently asked questions

What is the Ace Step 1.5 API?

Ace Step 1.5 is a WaveSpeedAI model for audio generation, exposed as a REST API on WaveSpeedAI. ACE-Step 1.5 generates up to 4-minute music with lyrics from text. Supports 50+ languages, high acoustic fidelity, and runs efficiently on consumer hardware. 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 Ace Step 1.5 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 result endpoint starting around every 2 seconds, increase the interval for long-running tasks, and stop on any terminal status. The playground generates production-oriented Python, JavaScript, and cURL examples with timeouts, transient-error handling, and safe GET retries. Full request/response shape is documented at https://wavespeed.ai/docs/docs-api/wavespeed-ai/ace-step-1.5.

How much does Ace Step 1.5 cost per run?

Ace Step 1.5 starts at $0.000 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 Ace Step 1.5 accept?

Key inputs: `duration`, `seed`, `lyrics`, `tags`. 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/wavespeed-ai/ace-step-1.5.

How long does Ace Step 1.5 take to generate?

Median end-to-end generation time on WaveSpeedAI is around 11 seconds per request, based on recent successful runs. Queue time varies with global demand; live status is visible in the prediction record.

Can I use Ace Step 1.5 outputs commercially?

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

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