Stable Audio 3 Audio Outpainting API

Stability AI Stable Audio 3 Audio-Outpainting

Stability AI Stable Audio 3 Audio-Outpainting extends an existing audio clip by generating new audio before and/or after the original source. It is designed for audio continuation, intro/outro expansion, ambient bed extension, scene transitions, and other prompt-guided audio editing workflows.

Why Choose This?

Audio extension in both directions
Add newly generated audio before the source clip, after it, or on both sides.
Prompt-guided outpainting
Use a text prompt to describe how the new extension audio should sound.
Negative prompt support
Add negative_prompt to reduce unwanted elements or steer away from specific sounds.
Flexible extension length
Independently control how many seconds to extend before and after the source audio.
Generation controls
Adjust num_inference_steps and guidance_scale for more control over output behavior.
Multiple export formats
Export results in mp3, wav, flac, ogg, opus, m4a, or aac.

Parameters

Parameter	Required	Description
audio	Yes	Source audio to extend.
prompt	Yes	Text prompt describing the extension audio.
extend_seconds_before	No	Seconds to extend before the original audio. Range: `0–380`. Default: `0`.
extend_seconds_after	No	Seconds to extend after the original audio. Range: `0–380`. Default: `5`.
negative_prompt	No	Optional terms to avoid in the generated audio.
num_inference_steps	No	Number of inference steps. Range: `1–100`. Default: `8`.
guidance_scale	No	Prompt guidance strength. Range: `0–25`. Default: `1`.
output_format	No	Output audio format. Supported values: `mp3`, `wav`, `flac`, `ogg`, `opus`, `m4a`, `aac`. Default: `mp3`.

How to Use

Upload your source audio — provide the clip you want to extend.
Write your prompt — describe the sound, mood, texture, or continuation style you want.
Set extension length — choose how many seconds to generate before and/or after the source clip.
Add a negative prompt (optional) — list sounds or qualities you want to avoid.
Adjust generation controls (optional) — tune num_inference_steps and guidance_scale if needed.
Choose output format — select the format that best fits your workflow.
Submit — run the model and download the outpainted audio.

Example Prompt

Extend this ambient desert night recording with distant wind, subtle metallic creaks, low environmental rumble, and a natural cinematic continuation.

Pricing

Just $0.0446 per request.

Billing Rules

Each outpainting request costs $0.0446
Pricing is fixed per request
extend_seconds_before, extend_seconds_after, negative_prompt, num_inference_steps, guidance_scale, and output_format do not affect pricing

Best Use Cases

Intro extension — Add a lead-in before an existing audio clip.
Outro extension — Continue a clip naturally after the original ending.
Ambient expansion — Extend environmental or atmospheric recordings.
Scene transitions — Build smoother audio bridges before or after a source segment.
Creative audio editing — Explore alternate continuations around an existing sound bed.

Pro Tips

Use a prompt that matches the tone and texture of the original audio for smoother blending.
Extend only as much as needed when continuity matters.
Use negative_prompt when you want to avoid music, vocals, distortion, or unwanted effects.
Increase num_inference_steps if you want potentially more refined results and can tolerate more runtime.
Choose lossless formats like wav or flac when you plan further editing.

Notes

audio and prompt are required.
extend_seconds_before and extend_seconds_after control how much new audio is generated around the original clip.
The original uploaded audio remains the center reference for the final result.
Pricing is fixed at $0.0446 per request.

Related Models

Stability AI Stable Audio 3 Text-to-Audio — Generate audio directly from a text prompt.
Other audio extension workflows — Useful when you want continuation-style generation with different controls or pricing.
Audio editing and sound design workflows — Useful when you need localized regeneration or more specialized post-processing.

Stable Audio 3 Audio Outpainting API — Quick start

Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/stability-ai/stable-audio-3/audio-outpainting 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 Stable Audio 3 Audio Outpainting below.

HTTP example

# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/stability-ai/stable-audio-3/audio-outpainting" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $WAVESPEED_API_KEY" \
  -d '{
    "audio": "https://example.com/your-audio.mp3",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "extend_seconds_before": 0,
    "extend_seconds_after": 5,
    "negative_prompt": "blurry, low quality, distorted",
    "num_inference_steps": 8,
    "guidance_scale": 1,
    "output_format": "mp3"
}'

# 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("stability-ai/stable-audio-3/audio-outpainting", {
        "audio": "https://example.com/your-audio.mp3",
        "prompt": "A cinematic shot of a city at sunset, soft golden light",
        "extend_seconds_before": 0,
        "extend_seconds_after": 5,
        "negative_prompt": "blurry, low quality, distorted",
        "num_inference_steps": 8,
        "guidance_scale": 1,
        "output_format": "mp3"
});

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

Python example

# pip install wavespeed
import wavespeed

output = wavespeed.run(
    "stability-ai/stable-audio-3/audio-outpainting",
    {
    "audio": "https://example.com/your-audio.mp3",
    "prompt": "A cinematic shot of a city at sunset, soft golden light",
    "extend_seconds_before": 0,
    "extend_seconds_after": 5,
    "negative_prompt": "blurry, low quality, distorted",
    "num_inference_steps": 8,
    "guidance_scale": 1,
    "output_format": "mp3"
}
)

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

Stable Audio 3 Audio Outpainting API — Frequently asked questions

What is the Stable Audio 3 Audio Outpainting API?

Stable Audio 3 Audio Outpainting is a Stability AI model for AI inference, exposed as a REST API on WaveSpeedAI. Stable Audio 3 Audio Outpainting is a fast AI audio extension model that extends a source audio clip before or after its existing content. Ready-to-use REST inference API for audio continuation, sound effect extension, ambient audio expansion, music production, game audio, video sound design, and professional audio editing workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.

How do I call the Stable Audio 3 Audio Outpainting 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/stability-ai/stability-ai-stable-audio-3-audio-outpainting.

How much does Stable Audio 3 Audio Outpainting cost per run?

Stable Audio 3 Audio Outpainting starts at $0.045 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 Stable Audio 3 Audio Outpainting accept?

Key inputs: `prompt`, `audio`, `guidance_scale`, `num_inference_steps`, `negative_prompt`, `extend_seconds_after`. 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/stability-ai/stability-ai-stable-audio-3-audio-outpainting.

How do I get started with the Stable Audio 3 Audio Outpainting API?

Sign up for a free WaveSpeedAI account to claim starter credits, copy your API key from /accesskey, then call the endpoint shown in the API tab of the playground. The playground also auto-generates a code sample in Python, JavaScript, or cURL for the parameters you've set.

Can I use Stable Audio 3 Audio Outpainting outputs commercially?

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

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