Sync.so Lipsync 2 Pro Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3from segmind import SegmindClient, InferenceFailed, InferenceTimeout
 4
 5# Async (v2) — recommended for long-running / video models.
 6# run() blocks up to 600s; submit_async + job.wait(timeout=...) sets a longer
 7# deadline and keeps the request_id so you can re-poll later.
 8client = SegmindClient()                      # reads SEGMIND_API_KEY
 9payload = {
10    "video_url": "https://segmind-resources.s3.amazonaws.com/output/a741b039-226c-43c2-9bd0-c301f058d314-UntitledVideo-ezgif.com-crop-video.mp4",
11    "audio_url": "https://segmind-resources.s3.amazonaws.com/output/80e96316-7e75-4733-b80c-049a0a6787cb-c9f17960-96b5-4119-8b7e-4ae0c9f21e2f-audio-AudioTrimmer.com-AudioTrimmer.com.mp3",
12    "sync_mode": "bounce",
13    "temperature": 0.5,
14    "auto_active_speaker_detection": False,
15    "occlusion_detection_enabled": False,
16}
17job = client.submit_async("sync.so-lipsync-2-pro", **payload)
18print(job.request_id)                         # available immediately
19try:
20    result = job.wait(timeout=900, interval=2.0)
21    print(result["status"])                  # COMPLETED
22    print(result.get("output"))              # model output (e.g. video URL)
23except InferenceTimeout as e:
24    print("still running:", e.request_id)    # re-poll later with this id
25except InferenceFailed as e:
26    print("failed:", e.detail)
27
28# Fast models (<=600s) can use the one-liner instead:
29# result = segmind.run("sync.so-lipsync-2-pro", **payload)