Ideogram 4.5 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-4.5",
 9    prompt="A two-color screen-printed concert gig poster for an indie band. Headline 'NEON MERIDIAN' in tall condensed hand-drawn letters across the top. Below it a smaller bold line 'with THE PALE FEVER'. A geometric risograph illustration of a fox leaping over city rooftops fills the center. Three lines of text at the bottom: 'SATURDAY 14 MARCH', 'THE GRAND ELECTRIC - PORTLAND', and 'DOORS 8PM / $18'. Coral and midnight-blue risograph print with visible paper grain.",
10    size="832x1248",
11    quality="medium",
12    magic_prompt="auto",
13    enable_copyright_detection=False,
14)
15print(result["status"])                      # COMPLETED
16print(result.get("output"))                  # model output (e.g. media URL)
17print(result["metrics"]["inference_time"])   # server compute seconds
18
19# --- Or submit + poll manually (track request_id, control the cadence) ---
20from segmind import SegmindClient, InferenceFailed, InferenceTimeout
21
22client = SegmindClient()                      # reads SEGMIND_API_KEY
23payload = {
24    "prompt": "A two-color screen-printed concert gig poster for an indie band. Headline 'NEON MERIDIAN' in tall condensed hand-drawn letters across the top. Below it a smaller bold line 'with THE PALE FEVER'. A geometric risograph illustration of a fox leaping over city rooftops fills the center. Three lines of text at the bottom: 'SATURDAY 14 MARCH', 'THE GRAND ELECTRIC - PORTLAND', and 'DOORS 8PM / $18'. Coral and midnight-blue risograph print with visible paper grain.",
25    "size": "832x1248",
26    "quality": "medium",
27    "magic_prompt": "auto",
28    "enable_copyright_detection": False,
29}
30job = client.submit_async("ideogram-4.5", **payload)
31print(job.request_id)                         # available immediately
32try:
33    result = job.wait(timeout=600, interval=1.0)
34except InferenceTimeout as e:
35    print("still running:", e.request_id)
36except InferenceFailed as e:
37    print("failed:", e.detail)