GPT Image 2.5 Flare 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    "gpt-image-2.5-flare",
 9    prompt="A photoreal product photograph of a frosted glass bottle of artisanal hot sauce standing on a weathered wooden market stall, with three fresh red habanero peppers and a halved lime beside it. The wraparound kraft-paper label reads, in bold condensed serif lettering: 'EMBER & ASH' across the top, 'Smoked Habanero Hot Sauce' as the tagline beneath it, a small legible line 'habanero · smoked paprika · lime · sea salt', and '148 ml' in the lower corner. Condensation beads on the glass, a red wax-sealed cork, visible paper grain on the label, bright even daylight.",
10    image_urls=[],
11    size="1024x1536",
12    quality="high",
13    background="opaque",
14    moderation="auto",
15    output_format="png",
16    output_compression=100,
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 photoreal product photograph of a frosted glass bottle of artisanal hot sauce standing on a weathered wooden market stall, with three fresh red habanero peppers and a halved lime beside it. The wraparound kraft-paper label reads, in bold condensed serif lettering: 'EMBER & ASH' across the top, 'Smoked Habanero Hot Sauce' as the tagline beneath it, a small legible line 'habanero · smoked paprika · lime · sea salt', and '148 ml' in the lower corner. Condensation beads on the glass, a red wax-sealed cork, visible paper grain on the label, bright even daylight.",
28    "image_urls": [],
29    "size": "1024x1536",
30    "quality": "high",
31    "background": "opaque",
32    "moderation": "auto",
33    "output_format": "png",
34    "output_compression": 100,
35}
36job = client.submit_async("gpt-image-2.5-flare", **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)