Video Faceswap 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    "source_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/videoFaceSwap/faceswap-image.jpg",
11    "video_input": "https://segmind-sd-models.s3.amazonaws.com/display_images/videoFaceSwap/faceswap-input.mp4",
12    "face_restore": True,
13    "input_faces_index": "0",
14    "source_faces_index": "0",
15    "face_restore_visibility": 1,
16    "codeformer_weight": 0.95,
17    "detect_gender_input": "no",
18    "detect_gender_source": "no",
19    "frame_load_cap": 0,
20    "base_64": False,
21}
22job = client.submit_async("videofaceswap", **payload)
23print(job.request_id)                         # available immediately
24try:
25    result = job.wait(timeout=900, interval=2.0)
26    print(result["status"])                  # COMPLETED
27    print(result.get("output"))              # model output (e.g. video URL)
28except InferenceTimeout as e:
29    print("still running:", e.request_id)    # re-poll later with this id
30except InferenceFailed as e:
31    print("failed:", e.detail)
32
33# Fast models (<=600s) can use the one-liner instead:
34# result = segmind.run("videofaceswap", **payload)