Ideogram Turbo Text To Image 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-turbo-txt-2-img",
 9    magic_prompt_option="AUTO",
10    negative_prompt="low quality,blurry",
11    prompt="portrait editorial, Img_4099.HEIC: cool anthropomorphic masculine tiger posing against neutral gray background, wearing alternative cyberpunk attire by Demna Gvasalia, rendered with photorealistic style, high definition, dof, create a fashion atmosphere, award winning photography, Hasselblad H6D-100c, XCD 85mm f/1.8",
12    resolution="RESOLUTION_1024_1024",
13    seed=56698,
14    style_type="GENERAL",
15)
16print(result["status"])                      # COMPLETED
17print(result.get("output"))                  # model output (e.g. media URL)
18print(result["metrics"]["inference_time"])   # server compute seconds
19
20# --- Or submit + poll manually (track request_id, control the cadence) ---
21from segmind import SegmindClient, InferenceFailed, InferenceTimeout
22
23client = SegmindClient()                      # reads SEGMIND_API_KEY
24payload = {
25    "magic_prompt_option": "AUTO",
26    "negative_prompt": "low quality,blurry",
27    "prompt": "portrait editorial, Img_4099.HEIC: cool anthropomorphic masculine tiger posing against neutral gray background, wearing alternative cyberpunk attire by Demna Gvasalia, rendered with photorealistic style, high definition, dof, create a fashion atmosphere, award winning photography, Hasselblad H6D-100c, XCD 85mm f/1.8",
28    "resolution": "RESOLUTION_1024_1024",
29    "seed": 56698,
30    "style_type": "GENERAL",
31}
32job = client.submit_async("ideogram-turbo-txt-2-img", **payload)
33print(job.request_id)                         # available immediately
34try:
35    result = job.wait(timeout=600, interval=1.0)
36except InferenceTimeout as e:
37    print("still running:", e.request_id)
38except InferenceFailed as e:
39    print("failed:", e.detail)