Live Portrait video to video 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    "input_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/live-portrait-v2v/live_portrait_v2v_input_vid.mp4",
11    "driving_video": "https://segmind-sd-models.s3.amazonaws.com/display_images/live-portrait-v2v/livie_portrait_driving_vid.mp4",
12    "dsize": 512,
13    "scale": 2.3,
14    "driving_audio": False,
15    "vx_ratio": 0,
16    "vy_ratio": -0.125,
17    "input_face_index": 0,
18    "drive_face_index": 0,
19    "crop_drive_face": False,
20    "lip_zero": True,
21    "lip_zero_threshold": 0.03,
22    "eye_retargeting": False,
23    "eyes_retargeting_multiplier": 1,
24    "lip_retargeting": False,
25    "lip_retargeting_multiplier": 1,
26    "stitching": True,
27    "relative": True,
28    "mismatch_method": "cut",
29    "video_frame_load_cap": 120,
30    "base64": False,
31}
32job = client.submit_async("live-portrait-video-to-video", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=900, interval=2.0)
36    print(result["status"])                  # COMPLETED
37    print(result.get("output"))              # model output (e.g. video URL)
38except InferenceTimeout as e:
39    print("still running:", e.request_id)    # re-poll later with this id
40except InferenceFailed as e:
41    print("failed:", e.detail)
42
43# Fast models (<=600s) can use the one-liner instead:
44# result = segmind.run("live-portrait-video-to-video", **payload)