Live Portrait 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    "face_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/liveportrait-input.jpg",
11    "driving_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/liveportrait-video.mp4",
12    "live_portrait_dsize": 512,
13    "live_portrait_scale": 2.3,
14    "video_frame_load_cap": 128,
15    "live_portrait_lip_zero": True,
16    "live_portrait_relative": True,
17    "live_portrait_vx_ratio": 0,
18    "live_portrait_vy_ratio": -0.12,
19    "live_portrait_stitching": True,
20    "video_select_every_n_frames": 1,
21    "live_portrait_eye_retargeting": False,
22    "live_portrait_lip_retargeting": False,
23    "live_portrait_lip_retargeting_multiplier": 1,
24    "live_portrait_eyes_retargeting_multiplier": 1,
25}
26job = client.submit_async("live-portrait", **payload)
27print(job.request_id)                         # available immediately
28try:
29    result = job.wait(timeout=900, interval=2.0)
30    print(result["status"])                  # COMPLETED
31    print(result.get("output"))              # model output (e.g. video URL)
32except InferenceTimeout as e:
33    print("still running:", e.request_id)    # re-poll later with this id
34except InferenceFailed as e:
35    print("failed:", e.detail)
36
37# Fast models (<=600s) can use the one-liner instead:
38# result = segmind.run("live-portrait", **payload)