Google Lyria 3 Pro Music API Documentation

Google Lyria 3 Pro Music API Documentation

Playground

Google Lyria 3 Pro generates high-quality music tracks from text prompts and optional image input. Pro tier delivers enhanced audio quality and richer compositions. Produces complete songs with lyrics, descriptions, and audio output. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

Features

Google Lyria 3 Pro is Google’s premium AI music generation model. Describe the sound you want in natural language — genre, tempo, instruments, mood, and style — and get a higher-fidelity music clip with richer detail and more nuanced musical expression than the standard Clip tier. Optionally guide the output with a reference image.

• Looking for a lower-cost option? Try Google Lyria 3 Clip

Why Choose This?

• Premium music generation quality Richer instrumentation, more nuanced musical expression, and higher audio fidelity than the Clip tier.

• Detailed text-to-music control Describe your track with genre, BPM, instruments, energy level, and mood for precise, on-target results.

• Image-guided generation Upload a reference image to inspire the musical mood and atmosphere of the clip.

• Prompt Enhancer Built-in tool to automatically refine your music descriptions for richer results.

Parameters

How to Use

1. Write your prompt — describe the genre, tempo, instruments, mood, and style. Use the Prompt Enhancer for better results.
2. Upload a reference image (optional) — provide an image to inspire the musical atmosphere.
3. Submit — generate and download your music clip.

Example Prompt

Dark ambient sci-fi underscore, deep pulsing bass drones, ethereal synth pads, subtle percussion, tense and mysterious, space horror atmosphere, no melody, slow tempo.

Pricing

Just $0.08 per clip.

Best Use Cases

• Film & Video Scoring — Generate high-quality music beds and underscore for professional video productions.
• Game & Interactive Media — Produce rich atmospheric tracks and dynamic soundscapes for games and apps.
• Advertising & Brand Content — Create polished custom music for campaigns without licensing fees.
• Podcast & Streaming — Generate premium intro, outro, and background music for audio content.
• Creative Production — Rapidly prototype and explore musical styles with professional-grade output.

Pro Tips

• Be specific about BPM, key instruments, and energy level for the most accurate results.
• Put exclusions in the prompt itself, for example “no vocals” or “no drums”.
• Generation is not deterministic; run the same prompt again to get a new variation.
• Try pairing atmospheric images with a minimal prompt to let the image drive the mood.
• Use the Prompt Enhancer to expand a simple style reference into a detailed music description.

Notes

• Only prompt is required; image is optional.
• Please ensure your content complies with Google’s usage policies.

Related Models

• Google Lyria 3 Clip — Standard tier at $0.04 per clip for cost-efficient music generation.

Authentication

For authentication details, please refer to the Authentication Guide.

API Endpoints

Submit Task & Query Result

set -euo pipefail

export WAVESPEED_API_KEY="your-api-key"

REQUEST_BODY=$(cat <<'JSON'
{
  "prompt": "A cinematic ocean wave at sunrise, highly detailed"
}
JSON
)

# 1. Submit the prediction once. Never retry this request automatically:
# a retry after an unclear failure can create a second, billed task.
CHECK='The task may already exist. Check History or the predictions list before submitting again.'
if ! SUBMIT_RESPONSE=$(curl --silent --show-error --fail-with-body \
  --connect-timeout 10 --max-time 60 \
  -X POST "https://api.wavespeed.ai/api/v3/google/lyria-3-pro/music" \
  -H "Authorization: Bearer ${WAVESPEED_API_KEY}" \
  -H "Content-Type: application/json" \
  -d "${REQUEST_BODY}"); then
  printf 'Submit failed. %s\n' "${CHECK}" >&2
  exit 1
fi

TASK=$(printf '%s' "${SUBMIT_RESPONSE}" | jq 'if type == "object" and has("data") then .data else . end')
PREDICTION_ID=$(printf '%s' "${TASK}" | jq -r '.id // empty')
if [ -z "${PREDICTION_ID}" ]; then
  printf 'Submission response did not contain a prediction id. %s\n' "${CHECK}" >&2
  exit 1
fi
RESULT_URL="https://api.wavespeed.ai/api/v3/predictions/${PREDICTION_ID}/result"

# 2. Poll until the prediction reaches a final status.
BODY_FILE=$(mktemp)
trap 'rm -f "${BODY_FILE}"' EXIT
while true; do
  # Transient errors (429, 5xx) are retried, honoring Retry-After.
  HTTP_CODE=$(curl --silent --show-error --fail-with-body \
    --connect-timeout 10 --max-time 60 --retry 5 --retry-delay 2 \
    --output "${BODY_FILE}" --write-out '%{http_code}' \
    "${RESULT_URL}" \
    -H "Authorization: Bearer ${WAVESPEED_API_KEY}" || true)
  case "${HTTP_CODE}" in
    2??) ;;
    000|429|5??)  # dropped connection or temporary error: keep polling
      printf 'Task %s: HTTP %s, polling again in 10s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      sleep 10; continue ;;
    *) printf 'Task %s: HTTP %s\n' "${PREDICTION_ID}" "${HTTP_CODE}" >&2
      cat "${BODY_FILE}" >&2; exit 1 ;;
  esac
  RESULT=$(jq 'if type == "object" and has("data") then .data else . end' "${BODY_FILE}")
  STATUS=$(printf '%s' "${RESULT}" | jq -r '.status // empty')

  case "${STATUS}" in
    completed) printf '%s\n' "${RESULT}" | jq '.outputs'; break ;;
    failed|cancelled|timeout|deleted)
      printf 'Task %s ended with status %s\n' "${PREDICTION_ID}" "${STATUS}" >&2
      printf '%s\n' "${RESULT}" | jq . >&2; exit 1 ;;
    *) sleep 2 ;;
  esac
done

Parameters

Task Submission Parameters

Request Parameters

Every model also accepts the global request options enable_sync_mode and enable_base64_output; see their pages for details.

Response Parameters

Result Request Parameters

Result Response Parameters