Ace Step Audio To Audio
Playground
Try it on WavespeedAI!ACE-Step Audio-to-Audio turns existing tracks into remixes or vocal edits using remix and lyrics modes while preserving audio character. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.
Features
ACE-Step — Audio to Audio 🎧
ACE-Step Audio-to-Audio is a creative music transformation model that generates new versions of existing tracks. It allows you to remix, rewrite, or restyle a song directly from an uploaded audio file — perfect for producers, remixers, and creators looking to evolve their sound.
✨ Key Features
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🎛 Remix Mode Change the musical style while preserving rhythm, tempo, and melodic structure. (e.g., turn a pop track into a lo-fi or EDM remix)
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🎤 Lyrics Mode Edit or replace the song’s vocal content while keeping the instrumental layers intact.
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🎚 Style Control via Tags Guide generation using genre or mood tags like “jazz,” “cinematic,” “trap,” “ambient chill.”
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🎵 High Fidelity Preservation Keeps fine-grained acoustic and timbral details from the original audio — ensuring professional-grade sound quality.
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🪄 Reproducible Outputs Use the seed parameter to reproduce or slightly vary your remix results.
🧩 Parameters
| Parameter | Description |
|---|---|
| audio* | Upload or link to an existing track (mp3/wav) |
| original_tags* | Tags that describe the current genre/style |
| tags* | Target tags for the remix (e.g., “jazz”, “rock”, “electronic”) |
| edit_mode | Choose between remix or lyrics editing modes |
| original_lyrics | (Optional) Input existing lyrics for contextual editing |
| lyrics | (Optional) New or modified lyrics to be generated |
| seed | Randomization control — use -1 for auto or set a fixed value for reproducibility |
🎶 Use Cases
- Remixing existing tracks into new genres or moods
- Rewriting lyrics while preserving the backing music
- Adapting songs for different campaigns, platforms, or cultural contexts
- Creating A/B variations for music production or content testing
- Expanding music datasets with stylistic diversity
💡 Example Workflows
1. Create a remix:
Upload a pop song → set edit_mode: remix → add tags like “synthwave, retro” → generate a new version.
2. Rewrite lyrics:
Upload a vocal track → choose edit_mode: lyrics → enter new lyrics → generate a rewritten version keeping rhythm and tone.
💰 Pricing
| Metric | Price |
|---|---|
| Per second of generated audio | $0.0002 / s |
🎵 Summary
ACE-Step Audio-to-Audio transforms existing music into new creative expressions. Whether you’re remixing genres, rewriting lyrics, or refining mood and tone — it’s your all-in-one AI assistant for dynamic music evolution.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/ace-step/audio-to-audio" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"edit_mode": "remix",
"original_lyrics": "",
"lyrics": "",
"seed": -1
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| audio | string | Yes | - | - | Audio file to transcribe. Provide an HTTPS URL or upload a file (MP3, WAV, FLAC up to 60 minutes). |
| original_tags | string | Yes | - | - | Original genre tags of the audio file. |
| tags | string | Yes | - | - | Comma-separated list of genre tags to control the style. |
| edit_mode | string | No | remix | lyrics, remix | Edit mode: lyrics or remix. |
| original_lyrics | string | No | - | - | Original lyrics of the audio. |
| lyrics | string | No | - | - | New lyrics for generation. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed for reproducibility. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |