Stable Audio 3 Music is a fast AI music generation model that creates music from text prompts with controllable duration and output format. Ready-to-use REST inference API for AI music generation, background music, creator content, video soundtracks, advertising audio, game music, and professional text-to-music workflows with simple integration, no coldstarts, and affordable pricing.
Idle
$0.0217per run·~46 / $1
30-second instrumental cue: smoky trip-hop noir with tremolo guitar, dusty Rhodes chords, and heavy slow drums. Clean stereo mix, memorable motif, no vocals, no lyrics.
Stability AI Stable Audio 3 Music generates music from a natural-language prompt, with controls for duration, negative prompting, inference steps, guidance strength, and output format. It is suitable for background music, soundtrack ideation, content scoring, trailer cues, and other prompt-driven music generation workflows.
Prompt-based music generation
Generate original music from a text description of mood, genre, instrumentation, and arrangement.
Flexible duration control
Choose the target music length from short clips to longer pieces up to 120 seconds.
Negative prompt support
Use negative_prompt to steer the model away from unwanted instruments, moods, or qualities.
Generation controls
Adjust num_inference_steps and guidance_scale to balance prompt adherence and output behavior.
Multiple output formats
Export results in mp3, wav, flac, ogg, opus, m4a, or aac.
Production-ready API
Suitable for videos, podcasts, trailers, games, social content, and music prototyping workflows.
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text prompt describing the music style, mood, instruments, and arrangement. |
| duration | No | Target audio duration in seconds. Range: 1–120. Default: 30. |
| negative_prompt | No | Optional terms to avoid in the generated music. |
| 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. |
num_inference_steps and guidance_scale if needed.Cinematic emotional orchestral track with soft piano, warm strings, subtle percussion, slow build, uplifting trailer mood, polished modern production
Just $0.0217 per request.
duration, negative_prompt, num_inference_steps, guidance_scale, and output_format do not affect pricingnegative_prompt when you want to avoid vocals, heavy drums, distortion, or certain styles.num_inference_steps if you want potentially more refined output and can tolerate more runtime.guidance_scale when you want tighter prompt adherence.prompt is required.duration supports 1–120 seconds.output_format defaults to mp3.Grab a WaveSpeedAI API key, then call POST https://api.wavespeed.ai/api/v3/stability-ai/stable-audio-3/music 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 Music below.
# Submit the prediction
curl -X POST "https://api.wavespeed.ai/api/v3/stability-ai/stable-audio-3/music" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $WAVESPEED_API_KEY" \
-d '{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 30,
"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].// 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/music", {
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 30,
"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# pip install wavespeed
import wavespeed
output = wavespeed.run(
"stability-ai/stable-audio-3/music",
{
"prompt": "A cinematic shot of a city at sunset, soft golden light",
"duration": 30,
"negative_prompt": "blurry, low quality, distorted",
"num_inference_steps": 8,
"guidance_scale": 1,
"output_format": "mp3"
}
)
print(output["outputs"][0]) # → URL of the generated outputStable Audio 3 Music is a Stability AI model for audio generation, exposed as a REST API on WaveSpeedAI. Stable Audio 3 Music is a fast AI music generation model that creates music from text prompts with controllable duration and output format. Ready-to-use REST inference API for AI music generation, background music, creator content, video soundtracks, advertising audio, game music, and professional text-to-music workflows with simple integration, no coldstarts, and affordable pricing. You can call it programmatically or try it from the playground above.
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-music.
Stable Audio 3 Music starts at $0.022 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.
Key inputs: `prompt`, `duration`, `guidance_scale`, `num_inference_steps`, `negative_prompt`, `output_format`. 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-music.
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.
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.