Ace Step Prompt To Audio

Ace Step Prompt To Audio

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ACE-Step Prompt-to-Audio creates music from simple prompts, auto-generating genre tags and lyrics for quick song creation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

ACE-Step Prompt-to-Audio is an intelligent music generation model that composes full-length audio tracks directly from text prompts. Simply describe the sound you want — from chill jazz to cinematic orchestral — and ACE-Step creates a polished piece in seconds.


✨ Key Features

  • Prompt-to-Music Creation Just write your idea in plain language. For example: “A jazzy chillout track with a cozy vibe about rainy evenings in a quiet café.”

  • Instrumental Mode Toggle the instrumental option to generate music without vocals — perfect for background use, podcasts, or film scoring.

  • Duration Control Use the slider to set your track length — anywhere from a few seconds to full-minute compositions (e.g., 60s).

  • Seed for Reproducibility Set the seed value to recreate the same song later, or randomize it for unique variations.

  • Genre & Emotion Understanding The model interprets keywords like “jazzy,” “dark,” “energetic,” “melancholic,” and blends rhythm, instruments, and mood accordingly.


🎧 Use Cases

  • Music Production & Songwriting — Draft melodies, instrumentals, or complete compositions in seconds.
  • Film, Game & Animation Scoring — Create background themes, ambient layers, and emotional moments effortlessly.
  • Social Media & Marketing — Produce custom soundtracks for reels, ads, or brand videos.
  • Education & Experimentation — Teach musical structure or explore AI-based composition.
  • Creative Exploration — Turn story ideas, emotions, or visual scenes into sound.

🧠 Example Prompts

  • “A cheerful pop song about summer memories.”
  • “Dark electronic beat with deep bass and atmospheric pads.”
  • “Calm piano and violin piece inspired by sunrise.”
  • “Lo-fi hip-hop track for late-night studying.”
  • “Epic orchestral theme with rising intensity.”

⚙️ How to Use

  1. Enter a prompt describing mood, genre, or theme.
  2. (Optional) Enable Instrumental for vocal-free music.
  3. Adjust duration with the slider (e.g., 30s, 45s, 60s).
  4. Set seed for reproducibility (or keep random for new results).
  5. Click Generate — and listen to your AI-composed track.

💰 Pricing

MetricPrice
Per second of generated audio$0.0002 / s

🎵 Summary

ACE-Step Prompt-to-Audio transforms words into music — from short jingles to full-length compositions. It’s your AI-powered music studio, ready to help musicians, creators, and filmmakers bring sound to life with just a sentence.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed",
  "instrumental": false,
  "duration": 60,
  "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/prompt-to-audio" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}")

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id
' >&2
  exit 1
fi
RESULT_URL=$(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' "${RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  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

Parameters

Task Submission Parameters

Request Parameters

ParameterTypeRequiredDefaultRangeDescription
promptstringYes-Prompt to control the style of the generated audio. This will be used to generate tags and lyrics.
instrumentalbooleanNofalse-Whether to generate an instrumental version.
durationnumberNo605 ~ 240Audio length in seconds.
seedintegerNo-1-The random seed for reproducibility.

Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
data.idstringUnique identifier for the prediction, Task Id
data.modelstringModel ID used for the prediction
data.outputsarrayOutput values, usually URL strings; some models return text strings or structured result objects (empty when status is not completed)
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to retrieve the prediction result
data.statusstringStatus of the task: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”)
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds

Result Request Parameters

ParameterTypeRequiredDefaultDescription
idstringYes-Task ID

Result Response Parameters

ParameterTypeDescription
codeintegerHTTP status code (e.g., 200 for success)
messagestringStatus message (e.g., “success”)
dataobjectThe prediction data object containing all details
data.idstringUnique identifier for the prediction
data.modelstringModel ID used for the prediction
data.outputsarray<string | object>Array of generated outputs (empty when status is not completed). Items are usually URL strings, but may be text strings or structured result objects, depending on the model.
data.urlsobjectObject containing related API endpoints
data.urls.getstringURL to poll for the prediction result
data.statusstringStatus: created, processing, completed, or failed
data.created_atstringISO timestamp of when the request was created
data.errorstringError message (empty if no error occurred)
data.timingsobjectObject containing timing details
data.timings.inferenceintegerInference time in milliseconds
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