Gemini TTS

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

execute_forge({
  "base_model_id": "gemini-tts",
  "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/gemini-tts/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

stringrequired

The text the voice speaks.

temperature

numberdefault 10–2

How much the delivery varies. Lower is more predictable.

style_instructions

string

How the voice should sound: its character, mood and pace.

prompt_language

string

The language the voice speaks in.