Lyria 2 Serverless API

Lyria 2 by Google DeepMind is an advanced model that generates high-fidelity 48kHz stereo instrumental music from text prompts or lyrics, offering precise control over tempo, key, mood, and structure.

~27.32s
POST /v2/lyria-2 · submit + poll
 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "lyria-2",
 9    prompt="Melodious guitar with gentle rain background.",
10    negative_prompt="No loud drums, no vocals.",
11)
12print(result["status"])                      # COMPLETED
13print(result.get("output"))                  # model output (e.g. media URL)
14print(result["metrics"]["inference_time"])   # server compute seconds
15
16# --- Or submit + poll manually (track request_id, control the cadence) ---
17from segmind import SegmindClient, InferenceFailed, InferenceTimeout
18
19client = SegmindClient()                      # reads SEGMIND_API_KEY
20payload = {
21    "prompt": "Melodious guitar with gentle rain background.",
22    "negative_prompt": "No loud drums, no vocals.",
23}
24job = client.submit_async("lyria-2", **payload)
25print(job.request_id)                         # available immediately
26try:
27    result = job.wait(timeout=600, interval=1.0)
28except InferenceTimeout as e:
29    print("still running:", e.request_id)
30except InferenceFailed as e:
31    print("failed:", e.detail)

API Endpoint

POSThttps://api.segmind.com/v1/lyria-2

Parameters

promptrequired
string

Directs audio creation with a detailed theme; guides tone and mood. Example: 'Melodious guitar with gentle rain background.'

Default: "Melodious guitar with gentle rain background."
negative_promptoptional
string

Excludes specific unwanted elements from the audio. Use 'No loud drums' for softer compositions, 'No vocals' for instrumentals.

Default: "No loud drums, no vocals."
seedoptional
integer

Ensures audio consistency across generations. Use '123' for repeated serene outputs, or omit for surprise variations.

Default: null

Response Type

Returns: Audio

Asynchronous requests (v2)

Use Async for video, long-running (>~60s), or high-concurrency workloads; Sync is simplest for fast image & LLM calls. Async submits a request and you poll it to completion.

  1. 1
    POST /v2/lyria-2

    Submitreturns request_id, status_url, response_url

  2. 2
    GET /v2/requests/{id}/status

    Polluntil COMPLETED or FAILED

  3. 3
    GET /v2/requests/{id}

    Resultfinal response body

Status states

QUEUEDAccepted, waiting for a worker
PROCESSINGRunning on a worker
COMPLETEDDone — result body is ready
FAILEDErrored (incl. content/RAI blocks)
  • A FAILED request is served as HTTP 422 — the body still carries the error detail.
  • An unknown or expired request_id returns HTTP 404.
  • Results are retained for 1 hour, then expire.
  • Content / RAI blocks surface as FAILED, not a separate state.
  • Track completion by polling the status endpoint.

Common Error Codes

The API returns standard HTTP status codes. Detailed error messages are provided in the response body.

400

Bad Request

Invalid parameters or request format

401

Unauthorized

Missing or invalid API key

403

Forbidden

Insufficient permissions

404

Not Found

Model or endpoint not found

406

Insufficient Credits

Not enough credits to process request

429

Rate Limited

Too many requests

500

Server Error

Internal server error

502

Bad Gateway

Service temporarily unavailable

504

Timeout

Request timed out