Faceswap V2 Serverless API

 1# pip install "segmind>=1.1.0"
 2# export SEGMIND_API_KEY="YOUR_API_KEY"
 3import segmind
 4
 5# Async (v2): submit to the queue and block until COMPLETED.
 6# run() returns the final result dict (600s deadline, 1.0s poll by default).
 7result = segmind.run(
 8    "faceswap-v2",
 9    source_img="https://segmind-sd-models.s3.us-east-1.amazonaws.com/elon.jpg",
10    target_img="https://segmind-sd-models.s3.amazonaws.com/display_images/faceswapv2_target.jpg",
11    input_faces_index="0",
12    source_faces_index="0",
13    face_restore="codeformer-v0.1.0.pth",
14    base64=False,
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "source_img": "https://segmind-sd-models.s3.us-east-1.amazonaws.com/elon.jpg",
26    "target_img": "https://segmind-sd-models.s3.amazonaws.com/display_images/faceswapv2_target.jpg",
27    "input_faces_index": "0",
28    "source_faces_index": "0",
29    "face_restore": "codeformer-v0.1.0.pth",
30    "base64": False,
31}
32job = client.submit_async("faceswap-v2", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)