Image Superimpose 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    "superimpose",
 9    base_image="https://segmind-sd-models.s3.amazonaws.com/display_images/tshirt+mock.jpg",
10    overlay_image="https://segmind-sd-models.s3.amazonaws.com/display_images/tshirt+logo.png",
11    rescale_factor=0.4,
12    resize_method="nearest-exact",
13    overlay_resize="Resize by rescale_factor",
14    opacity=1,
15    height=1024,
16    width=1024,
17    x_offset=320,
18    y_offset=620,
19    rotation=0,
20    base64=False,
21)
22print(result["status"])                      # COMPLETED
23print(result.get("output"))                  # model output (e.g. media URL)
24print(result["metrics"]["inference_time"])   # server compute seconds
25
26# --- Or submit + poll manually (track request_id, control the cadence) ---
27from segmind import SegmindClient, InferenceFailed, InferenceTimeout
28
29client = SegmindClient()                      # reads SEGMIND_API_KEY
30payload = {
31    "base_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/tshirt+mock.jpg",
32    "overlay_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/tshirt+logo.png",
33    "rescale_factor": 0.4,
34    "resize_method": "nearest-exact",
35    "overlay_resize": "Resize by rescale_factor",
36    "opacity": 1,
37    "height": 1024,
38    "width": 1024,
39    "x_offset": 320,
40    "y_offset": 620,
41    "rotation": 0,
42    "base64": False,
43}
44job = client.submit_async("superimpose", **payload)
45print(job.request_id)                         # available immediately
46try:
47    result = job.wait(timeout=600, interval=1.0)
48except InferenceTimeout as e:
49    print("still running:", e.request_id)
50except InferenceFailed as e:
51    print("failed:", e.detail)