Pruna P Image Ideogram 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    "p-image-ideogram",
 9    prompt="A typographic travel poster for the French Riviera, bold retro lettering, sun-bleached pastel palette",
10    thinking="high",
11    image_size="1K",
12    aspect_ratio="3:4",
13    prompt_upsampling=True,
14    output_format="jpg",
15    output_quality=80,
16    seed=42,
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    "prompt": "A typographic travel poster for the French Riviera, bold retro lettering, sun-bleached pastel palette",
28    "thinking": "high",
29    "image_size": "1K",
30    "aspect_ratio": "3:4",
31    "prompt_upsampling": True,
32    "output_format": "jpg",
33    "output_quality": 80,
34    "seed": 42,
35}
36job = client.submit_async("p-image-ideogram", **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)