Inpaint Mask Maker 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    "inpaint-mask-maker",
 9    prompt="white horse",
10    image="https://segmind-sd-models.s3.amazonaws.com/display_images/inpaint-mask-maker-input.jpg",
11    invert_mask=False,
12    confidence_thresh=0.5,
13    iou_thresh=0.2,
14    return_mask=False,
15    grow_mask=10,
16    base64=False,
17)
18print(result["status"])                      # COMPLETED
19print(result.get("output"))                  # model output (e.g. media URL)
20print(result["metrics"]["inference_time"])   # server compute seconds
21
22# --- Or submit + poll manually (track request_id, control the cadence) ---
23from segmind import SegmindClient, InferenceFailed, InferenceTimeout
24
25client = SegmindClient()                      # reads SEGMIND_API_KEY
26payload = {
27    "prompt": "white horse",
28    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/inpaint-mask-maker-input.jpg",
29    "invert_mask": False,
30    "confidence_thresh": 0.5,
31    "iou_thresh": 0.2,
32    "return_mask": False,
33    "grow_mask": 10,
34    "base64": False,
35}
36job = client.submit_async("inpaint-mask-maker", **payload)
37print(job.request_id)                         # available immediately
38try:
39    result = job.wait(timeout=600, interval=1.0)
40except InferenceTimeout as e:
41    print("still running:", e.request_id)
42except InferenceFailed as e:
43    print("failed:", e.detail)