Lyria 3 Pro Serverless API

 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-3-pro",
 9    prompt="Create a 90-second uplifting indie folk-pop anthem about chasing the sunrise, in D major at 120 BPM, with fingerpicked acoustic guitar, layered vocal harmonies, warm bass, light hand claps and a soaring wide chorus.\n[Verse]\nWe left the city lights behind, chasing colors in the sky\n[Chorus]\nHold on, hold on, the morning's calling out our names\nWe're running toward the light, we'll never be the same",
10    image_urls=[],
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": "Create a 90-second uplifting indie folk-pop anthem about chasing the sunrise, in D major at 120 BPM, with fingerpicked acoustic guitar, layered vocal harmonies, warm bass, light hand claps and a soaring wide chorus.\n[Verse]\nWe left the city lights behind, chasing colors in the sky\n[Chorus]\nHold on, hold on, the morning's calling out our names\nWe're running toward the light, we'll never be the same",
22    "image_urls": [],
23}
24job = client.submit_async("lyria-3-pro", **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)