Ideogram V4 Fast 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    "ideogram-v4-fast",
 9    prompt="A modern minimalist poster for a mountain coffee roastery: a steaming ceramic mug with delicate leaf latte art on a rustic oak table, soft morning light through a window, a bold clean headline reading \"SUMMIT ROAST\" across the top and the tagline \"Brewed at 3000 Meters\" beneath it, warm earthy palette of espresso brown and cream, elegant serif typography, premium print design",
10    rendering_speed="DEFAULT",
11    resolution="2048x2048",
12    enable_copyright_detection=False,
13)
14print(result["status"])                      # COMPLETED
15print(result.get("output"))                  # model output (e.g. media URL)
16print(result["metrics"]["inference_time"])   # server compute seconds
17
18# --- Or submit + poll manually (track request_id, control the cadence) ---
19from segmind import SegmindClient, InferenceFailed, InferenceTimeout
20
21client = SegmindClient()                      # reads SEGMIND_API_KEY
22payload = {
23    "prompt": "A modern minimalist poster for a mountain coffee roastery: a steaming ceramic mug with delicate leaf latte art on a rustic oak table, soft morning light through a window, a bold clean headline reading \"SUMMIT ROAST\" across the top and the tagline \"Brewed at 3000 Meters\" beneath it, warm earthy palette of espresso brown and cream, elegant serif typography, premium print design",
24    "rendering_speed": "DEFAULT",
25    "resolution": "2048x2048",
26    "enable_copyright_detection": False,
27}
28job = client.submit_async("ideogram-v4-fast", **payload)
29print(job.request_id)                         # available immediately
30try:
31    result = job.wait(timeout=600, interval=1.0)
32except InferenceTimeout as e:
33    print("still running:", e.request_id)
34except InferenceFailed as e:
35    print("failed:", e.detail)