GPT Image 2.6 Flare 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-2.6-flare",
 9    prompt="A dark iron foundry: a heavy steel ladle tips and a glowing stream of molten metal pours into a sand mould below, a continuous fountain of bright orange sparks spitting off the falling stream and skittering across the cast-iron floor, heat haze rippling above the metal, deep shadows on the sooty brick walls behind. The pour runs steadily and the shower of sparks keeps cascading, so the last frame flows back into the first for a seamless loop. Gritty industrial realism, hard rim light from the molten glow. No people, no text, no logos, no brand marks, no readable signage.",
10    image_urls=[],
11    size="960x960",
12    quality="high",
13    complexity="high",
14    background="opaque",
15    moderation="auto",
16    output_format="gif",
17    frame_count=9,
18    frame_duration_ms=200,
19    output_compression=100,
20)
21print(result["status"])                      # COMPLETED
22print(result.get("output"))                  # model output (e.g. media URL)
23print(result["metrics"]["inference_time"])   # server compute seconds
24
25# --- Or submit + poll manually (track request_id, control the cadence) ---
26from segmind import SegmindClient, InferenceFailed, InferenceTimeout
27
28client = SegmindClient()                      # reads SEGMIND_API_KEY
29payload = {
30    "prompt": "A dark iron foundry: a heavy steel ladle tips and a glowing stream of molten metal pours into a sand mould below, a continuous fountain of bright orange sparks spitting off the falling stream and skittering across the cast-iron floor, heat haze rippling above the metal, deep shadows on the sooty brick walls behind. The pour runs steadily and the shower of sparks keeps cascading, so the last frame flows back into the first for a seamless loop. Gritty industrial realism, hard rim light from the molten glow. No people, no text, no logos, no brand marks, no readable signage.",
31    "image_urls": [],
32    "size": "960x960",
33    "quality": "high",
34    "complexity": "high",
35    "background": "opaque",
36    "moderation": "auto",
37    "output_format": "gif",
38    "frame_count": 9,
39    "frame_duration_ms": 200,
40    "output_compression": 100,
41}
42job = client.submit_async("gpt-image-2.6-flare", **payload)
43print(job.request_id)                         # available immediately
44try:
45    result = job.wait(timeout=600, interval=1.0)
46except InferenceTimeout as e:
47    print("still running:", e.request_id)
48except InferenceFailed as e:
49    print("failed:", e.detail)