Caricature Style 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    "caricature-style",
 9    image="https://segmind-resources.s3.amazonaws.com/output/39a9c58a-4f9d-49d8-9fe6-6189ffbc410b-guy.webp",
10    size="1024x1024",
11    quality="high",
12    background="opaque",
13    output_compression=100,
14    output_format="png",
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    "image": "https://segmind-resources.s3.amazonaws.com/output/39a9c58a-4f9d-49d8-9fe6-6189ffbc410b-guy.webp",
26    "size": "1024x1024",
27    "quality": "high",
28    "background": "opaque",
29    "output_compression": 100,
30    "output_format": "png",
31}
32job = client.submit_async("caricature-style", **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)