Ideogram Turbo Image 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-img-2-img",
 9    prompt="A panda playing football, caricature style",
10    image_file="https://segmind-resources.s3.amazonaws.com/input/a30b306b-6683-49ae-82c0-a1f18242660c-turbo-i2i-ip.jpg",
11    magic_prompt_option="AUTO",
12    seed=965220,
13    style_type="GENERAL",
14    resolution="RESOLUTION_1024_1024",
15    image_weight=50,
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 panda playing football, caricature style",
27    "image_file": "https://segmind-resources.s3.amazonaws.com/input/a30b306b-6683-49ae-82c0-a1f18242660c-turbo-i2i-ip.jpg",
28    "magic_prompt_option": "AUTO",
29    "seed": 965220,
30    "style_type": "GENERAL",
31    "resolution": "RESOLUTION_1024_1024",
32    "image_weight": 50,
33}
34job = client.submit_async("ideogram-turbo-img-2-img", **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)