Stability Ai Stable Audio 3 Audio To Audio

Stability Ai Stable Audio 3 Audio To Audio

Playground

Stable Audio 3 Audio-to-Audio is a fast AI audio transformation model that transforms a source audio clip using a text prompt. Ready-to-use REST inference API for audio style transfer, sound effect transformation, music remixing, creative audio editing, game audio, video sound design, and professional audio-to-audio workflows with simple integration, no coldstarts, and affordable pricing.

Features

Stability AI Stable Audio 3 Audio-to-Audio

Stability AI Stable Audio 3 Audio-to-Audio transforms an existing audio clip into a new result guided by a natural-language prompt. It is designed for remixing, restyling, sound redesign, mood transfer, and other prompt-driven audio transformation workflows.

Why Choose This?

• Audio transformation workflow
  Start from an existing audio clip and transform it into a new result instead of generating from scratch.

• Prompt-guided editing Use a text prompt to describe the target sound, mood, texture, or musical direction.

• Controllable transformation strength Adjust init_noise_level to control how strongly the output departs from the source audio.

• Negative prompt support Use negative_prompt to avoid unwanted sounds, textures, or stylistic elements.

• Flexible output duration Choose the target output length up to 120 seconds.

• Production-ready API Useful for music restyling, sound design, ambient transformation, and creative audio experimentation.

Parameters

How to Use

1. Upload your source audio — provide the clip you want to transform.
2. Write your prompt — describe the target sound, style, mood, or arrangement you want.
3. Set duration (optional) — choose the desired output length.
4. Adjust transformation strength (optional) — use init_noise_level to control how far the output moves away from the source.
5. Add a negative prompt (optional) — specify sounds or qualities to avoid.
6. Tune generation settings (optional) — adjust num_inference_steps and guidance_scale if needed.
7. Choose output format — select the format that best fits your workflow.
8. Submit — run the model and download the transformed audio.

Example Prompt

Transform this into a dark cinematic ambient track with deeper low-end texture, distant metallic resonance, slower pacing, and a more atmospheric, spacious mix.

Pricing

Just $0.024 per request.

Billing Rules

• Each audio-to-audio generation request costs $0.024
• Pricing is fixed per request
• duration, init_noise_level, negative_prompt, num_inference_steps, guidance_scale, and output_format do not affect pricing

Best Use Cases

• Music restyling — Rework an existing clip into a different sonic direction.
• Sound design transformation — Turn a source recording into a new textured or cinematic result.
• Ambient and mood transfer — Shift the emotional tone of an existing audio clip.
• Creative remix prototyping — Explore alternate versions of a source sound quickly.
• Post-production experimentation — Generate stylized variants before committing to manual editing.

Pro Tips

• Use a prompt that clearly describes the target direction instead of repeating details already present in the source.
• Lower init_noise_level when you want the result to stay closer to the original audio.
• Raise init_noise_level when you want a stronger transformation.
• Use negative_prompt to suppress unwanted artifacts, vocals, harshness, or specific genres.
• Choose wav or flac when you plan to do further editing after generation.

Notes

• audio and prompt are required.
• duration supports 1–120 seconds.
• init_noise_level controls how strongly the model transforms the input audio.
• Pricing is fixed at $0.024 per request.
• This workflow is intended for transformation of existing audio, not fresh generation from text alone.

Related Models

• Stability AI Stable Audio 3 Music — Generate music directly from a text prompt.
• Stability AI Stable Audio 3 Text-to-Audio — Generate general audio and sound scenes from text prompts.
• Stability AI Stable Audio 3 Audio-Outpainting — Extend an existing audio clip before and/or after the source.
• Stability AI Stable Audio 3 Audio-Inpainting — Replace a selected region inside an existing audio clip.

<ApiPage model={model}>
  ## Authentication

  For authentication details, please refer to the [Authentication Guide](/docs-authentication).

  ## API Endpoints

  ### Submit Task & Query Result

  ## Parameters

  ### Task Submission Parameters

  #### Request Parameters

  #### Response Parameters

  <SubmitResponse />

  #### Result Request Parameters

  | Parameter | Type | Required | Default | Description |
  |-----------|------|----------|---------|-------------|
  | id | string | Yes | - | Task ID |

  #### Result Response Parameters

  | Parameter | Type | Description |
  |-----------|------|-------------|
  | code | integer | HTTP status code (e.g., 200 for success) |
  | message | string | Status message (e.g., "success") |
  | data | object | The prediction data object containing all details |
  | data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
  | data.model | string | Model ID used for the prediction |
  | data.outputs | string | Array of generated audio URLs. |
  | data.urls | object | Object containing related API endpoints |
  | data.urls.get | string | URL to retrieve the prediction result |
  | 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 |

</ApiPage>