Stable Audio 3 Small Music

https://mcp.app.layer.ai/mcp

execute_forge({
  "base_model_id": "stable-audio-3-small-music",
  "prompt": "A heavy stone door grinding open in a dungeon",
  "batch_size": 1
})

# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/stable-audio-3-small-music/inferences \
  -H "Authorization: Bearer $LAYER_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
        "prompt": "A heavy stone door grinding open in a dungeon"
      }'

# Poll until status is "complete" — the response then carries the asset URLs.
curl https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/inferences/$INFERENCE_ID \
  -H "Authorization: Bearer $LAYER_TOKEN"

prompt

string

Describe what to generate, or the change to make.

negative_prompt

string

What to keep out of the result.

prompt_enhancement

enumdefault AUTOAUTO, OFF, STANDARD

Let the model rewrite the prompt before generating.

seed

integer

The starting point for the model's randomness. The same seed and settings give the same result.

guidance_scale

numberdefault 10–25

How closely the result follows the prompt. Lower gives the model more freedom.

inference_steps

integerdefault 81–100

How many refinement passes the model makes. More add detail and take longer.

duration_seconds

numberdefault 301–120

Length of the generated clip, in seconds.

guidance_file_init_audio

file[]

The audio to modify

extend_seconds

number1–120

How much new audio continues the clip past its end.

audio_sections

array

The stretches of the clip the prompt rewrites; the rest is kept.

prompt_language

string

The language the prompt is written in, so it reaches the model as you meant it.