Juggernaut Pro Flux 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    "juggernaut-pro-flux",
 9    positivePrompt="Middle-aged man sitting alone at diner counter, 3am, half-eaten pie, reflection in window, fluorescent lighting casting shadows.",
10    width=1024,
11    height=1024,
12    steps=25,
13    seed=1184522,
14    CFGScale=7,
15    outputFormat="JPG",
16    scheduler="Euler",
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    "positivePrompt": "Middle-aged man sitting alone at diner counter, 3am, half-eaten pie, reflection in window, fluorescent lighting casting shadows.",
28    "width": 1024,
29    "height": 1024,
30    "steps": 25,
31    "seed": 1184522,
32    "CFGScale": 7,
33    "outputFormat": "JPG",
34    "scheduler": "Euler",
35}
36job = client.submit_async("juggernaut-pro-flux", **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)