Insta Depth 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    "insta-depth",
 9    prompt="Photo of a woman wearing a Superman costume",
10    negative_prompt="lowquality, badquality, sketches",
11    face_image="https://segmind-sd-models.s3.amazonaws.com/display_images/insta-depth-ip.png",
12    pose_image="https://segmind-sd-models.s3.amazonaws.com/display_images/insta-dept-pose.png",
13    num_inference_steps=10,
14    guidance_scale=3,
15    seed=354849415,
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": "Photo of a woman wearing a Superman costume",
28    "negative_prompt": "lowquality, badquality, sketches",
29    "face_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/insta-depth-ip.png",
30    "pose_image": "https://segmind-sd-models.s3.amazonaws.com/display_images/insta-dept-pose.png",
31    "num_inference_steps": 10,
32    "guidance_scale": 3,
33    "seed": 354849415,
34    "base64": False,
35}
36job = client.submit_async("insta-depth", **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)