Heygen Avatar IV 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    "image_url": "https://segmind-inference-inputs.s3.amazonaws.com/f858aaa9-26a9-4749-83fc-08ac2240c1e2-148863a50eac17d1990d23b873818afa.png",
11    "video_title": "Hello Avatar",
12    "script": "Hello, this is an avatar demo.",
13    "voice_id": "f80e430f06b34b70b275c9c746436e37",
14    "video_orientation": "landscape",
15    "fit": "cover",
16    "custom_motion_prompt": "Subtle hand movements.",
17    "enhance_custom_motion_prompt": False,
18    "audio_url": "https://segmind-resources.s3.amazonaws.com/input/c8a1403e-d409-481d-b269-5eee0f01581f-0e55863604e421fff17ffbe89992a1cc.wav",
19    "resolution": "720p",
20}
21job = client.submit_async("heygen-avatar-iv", **payload)
22print(job.request_id)                         # available immediately
23try:
24    result = job.wait(timeout=900, interval=2.0)
25    print(result["status"])                  # COMPLETED
26    print(result.get("output"))              # model output (e.g. video URL)
27except InferenceTimeout as e:
28    print("still running:", e.request_id)    # re-poll later with this id
29except InferenceFailed as e:
30    print("failed:", e.detail)
31
32# Fast models (<=600s) can use the one-liner instead:
33# result = segmind.run("heygen-avatar-iv", **payload)