AI Face Swap (image and 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    "source_image": "https://segmind-resources.s3.amazonaws.com/input/8d67068b-dc76-4069-b231-acdbb644ab54-ai-video-swap-ip2.png",
11    "target": "https://segmind-resources.s3.amazonaws.com/input/1f234efe-9867-475f-8ef2-81eef026fb50-7eb8f231-ace8-4dbe-bb6a-43ae13d1a89e.mp4",
12    "pixel_boost": "384x384",
13    "face_selector_mode": "reference",
14    "face_selector_order": "large-small",
15    "face_selector_age_start": 0,
16    "face_selector_age_end": 100,
17    "reference_face_distance": 0.6,
18    "reference_frame_number": 1,
19    "base64": False,
20}
21job = client.submit_async("ai-face-swap", **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("ai-face-swap", **payload)