Ideogram Vector 1 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-vector-1",
 9    prompt="A circular enamel-badge logo for a cycling club. A side-profile road bicycle sits centred over a smooth teal-to-indigo gradient disc, its two wheels drawn as thin concentric rings. The words 'GASWORKS CYCLING CLUB' curve along the top rim in bold condensed sans-serif, and 'EST. 1974' sits on a small ribbon across the bottom. Flat vector shapes, cream and amber accents, clean white background.",
10    images=[],
11    quality="high",
12    aspect_ratio="1x1",
13    seed=734512,
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 circular enamel-badge logo for a cycling club. A side-profile road bicycle sits centred over a smooth teal-to-indigo gradient disc, its two wheels drawn as thin concentric rings. The words 'GASWORKS CYCLING CLUB' curve along the top rim in bold condensed sans-serif, and 'EST. 1974' sits on a small ribbon across the bottom. Flat vector shapes, cream and amber accents, clean white background.",
25    "images": [],
26    "quality": "high",
27    "aspect_ratio": "1x1",
28    "seed": 734512,
29}
30job = client.submit_async("ideogram-vector-1", **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)