Ideogram Character 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-character",
 9    prompt="a close up photo of a woman in a fashion magazine photoshoot",
10    resolution="512x1536",
11    style_type="Realistic",
12    aspect_ratio="16:9",
13    rendering_speed="Quality",
14    magic_prompt_option="Off",
15    character_reference_image="https://segmind-resources.s3.amazonaws.com/output/9ad9b775-7b35-4485-affe-6215a933d825-686185927069985948.png",
16)
17print(result["status"])                      # COMPLETED
18print(result.get("output"))                  # model output (e.g. media URL)
19print(result["metrics"]["inference_time"])   # server compute seconds
20
21# --- Or submit + poll manually (track request_id, control the cadence) ---
22from segmind import SegmindClient, InferenceFailed, InferenceTimeout
23
24client = SegmindClient()                      # reads SEGMIND_API_KEY
25payload = {
26    "prompt": "a close up photo of a woman in a fashion magazine photoshoot",
27    "resolution": "512x1536",
28    "style_type": "Realistic",
29    "aspect_ratio": "16:9",
30    "rendering_speed": "Quality",
31    "magic_prompt_option": "Off",
32    "character_reference_image": "https://segmind-resources.s3.amazonaws.com/output/9ad9b775-7b35-4485-affe-6215a933d825-686185927069985948.png",
33}
34job = client.submit_async("ideogram-character", **payload)
35print(job.request_id)                         # available immediately
36try:
37    result = job.wait(timeout=600, interval=1.0)
38except InferenceTimeout as e:
39    print("still running:", e.request_id)
40except InferenceFailed as e:
41    print("failed:", e.detail)