Seedream 5.0 Pro est en ligne | Essayez dans le Générateur d'images →

ACE Step Audio Inpaint

wavespeed-ai /

ACE-Step Audio Inpaint edits a specific audio segment to change lyrics or style while preserving the surrounding audio. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

audio-to-audio
Entrée

En attente

$0.0002par exécution·~5000 / $1

ExemplesTout voir

Modèles associés

README

ACE-Step Audio Inpaint

ACE-Step Audio Inpaint is a powerful music and audio editing model developed by WaveSpeedAI. It enables precise, intelligent modification of selected time ranges within an existing audio clip — perfect for fixing, remixing, or creatively reimagining tracks without re-generating the whole piece.

Key Features

  • Precise Segment Editing: Modify only the section you want — define start and end times to edit exactly the range you need.
  • Seamless Audio Blending: New content merges naturally with surrounding audio for smooth, undetectable transitions.
  • Flexible Timing Control: Choose whether your start or end times are relative to the beginning or end of the track.
  • Style & Lyric Adaptability: Add new instrumentation, effects, or lyrics while preserving the overall flow and tone.
  • Controlled Variation: Adjust how much the regenerated section diverges from the original using seed and creative parameters.

Parameters

ParameterDescription
audio*Upload or link to an existing audio file (MP3 / WAV).
tags*Define the target style or mood (e.g., lofi, hiphop, trap, chill).
start_time / end_timeSelect the time range (in seconds) to edit.
start_time_relative_to / end_time_relative_toChoose whether the range is relative to the start or end of the audio.
lyrics(Optional) Add or replace lyrics for the edited section.
seedFix for reproducible results; -1 for randomized variation.

Use Cases

  • Repair or refine — Fix errors or off-beat moments in specific sections.
  • Rewrite lyrics — Try new vocal phrasing or emotional tone.
  • Remix segments — Replace or restyle a part of a song without altering the rest.
  • Audio storytelling — Modify voiceovers or sound effects within a fixed-length clip.

Pricing

MetricPrice
Per second of source audio$0.0002 / s

Total cost = duration of uploaded audio (in seconds) × $0.0002

Examples

  • 30s audio → 30 × $0.0002 = $0.006
  • 60s audio → 60 × $0.0002 = $0.012
  • 3 min (180s) audio → 180 × $0.0002 = $0.036

Notes

  • Pricing is based on the total duration of the source audio file, not the edited segment length.
  • Ensure uploaded audio URLs are publicly accessible.
  • Please ensure your content complies with usage guidelines.
Remarque :Ce site utilise des modèles d'IA fournis par des tiers.

Ace Step Audio Inpaint API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step/audio-inpaint 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 Audio Inpaint below.

HTTP example
set -euo pipefail

: "${WAVESPEED_API_KEY:?Set WAVESPEED_API_KEY}"

REQUEST_BODY=$(cat <<'JSON'
{
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
    "tags": "example",
    "start_time_relative_to": "start",
    "start_time": 0,
    "end_time_relative_to": "start",
    "end_time": 30,
    "seed": -1
}
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/audio-inpaint" \
  -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=$(printf '%s' "$TASK" | jq -r '.urls.get // empty')
if [ -z "$RESULT_URL" ]; then
  RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/$PREDICTION_ID/result"
fi

# 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' "$RESULT" | jq '.outputs'; break ;;
    failed|cancelled|timeout) printf '%s\n' "$RESULT" | jq . >&2; exit 1 ;;
    created|processing) sleep 2 ;;
    *) printf 'Unexpected status: %s
' "$STATUS" >&2; exit 1 ;;
  esac
done
Node.js example
const submitUrl = "https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step/audio-inpaint";
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 ${apiKey}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
        "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
        "tags": "example",
        "start_time_relative_to": "start",
        "start_time": 0,
        "end_time_relative_to": "start",
        "end_time": 30,
        "seed": -1
}),
});
const task = body.data ?? body;
if (!task.id) throw new Error("Submission response did not contain a prediction id");
const resultUrl = task.urls?.get ||
  `https://api.wavespeed.ai/api/v3/predictions/${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"].includes(result.status)) throw new Error(JSON.stringify(result));
  if (!["created", "processing"].includes(result.status)) throw new Error("Unexpected status: " + result.status);
  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 = {
    "audio": "https://interactive-examples.mdn.mozilla.net/media/cc0-audio/t-rex-roar.mp3",
    "tags": "example",
    "start_time_relative_to": "start",
    "start_time": 0,
    "end_time_relative_to": "start",
    "end_time": 30,
    "seed": -1
}

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/audio-inpaint", 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 = task.get("urls", {}).get("get") or 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"}:
        raise RuntimeError(result)
    if status not in {"created", "processing"}:
        raise RuntimeError(f"Unexpected status: {status}")
    time.sleep(2)

Ace Step Audio Inpaint API — Frequently asked questions

What is the Ace Step Audio Inpaint API?

Ace Step Audio Inpaint is a WaveSpeedAI model for AI inference, exposed as a REST API on WaveSpeedAI. ACE-Step Audio Inpaint edits a specific audio segment to change lyrics or style while preserving the surrounding audio. 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 Audio Inpaint 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-audio-inpaint.

How much does Ace Step Audio Inpaint cost per run?

Ace Step Audio Inpaint 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 Audio Inpaint accept?

Key inputs: `audio`, `seed`, `end_time`, `end_time_relative_to`, `lyrics`, `start_time`. 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-audio-inpaint.

How long does Ace Step Audio Inpaint take to generate?

Median end-to-end generation time on WaveSpeedAI is around 16 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 Audio Inpaint 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.

ACE Step Audio Inpaint | AI Voice Conversion API | WaveSpeedAI