face-to-sticker 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    "face-to-sticker",
 9    seed=411,
10    image="https://segmind-sd-models.s3.amazonaws.com/display_images/face-to-sticker-input.jpg",
11    steps=20,
12    width=1024,
13    height=1024,
14    prompt="a person",
15    upscale=False,
16    upscale_steps=10,
17    prompt_strength=7,
18    ip_adapter_noise=0.5,
19    ip_adapter_weight=0.2,
20    instant_id_strength=1,
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    "seed": 411,
32    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/face-to-sticker-input.jpg",
33    "steps": 20,
34    "width": 1024,
35    "height": 1024,
36    "prompt": "a person",
37    "upscale": False,
38    "upscale_steps": 10,
39    "prompt_strength": 7,
40    "ip_adapter_noise": 0.5,
41    "ip_adapter_weight": 0.2,
42    "instant_id_strength": 1,
43}
44job = client.submit_async("face-to-sticker", **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)