GPT Image 1.5 Edit 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-1.5-edit",
 9    prompt="A photorealistic wide drone shot of a colossal man (exact face/body from the reference) casually sitting across a London street, one knee raised, hand resting. He wears a navy overcoat, knit sweater, dark trousers, boots, and a minimalist beanie. Tiny cars, buses, bikes, and pedestrians move around him, with classic London red-brick buildings, black lamps, and cobblestone streets dwarfed by his size. Soft overcast London daylight highlights wet pavement.",
10    image_urls=["https://segmind-resources.s3.amazonaws.com/input/92a8e420-2d12-48c0-97f5-73c6c4820c34-black-man-image.jpeg"],
11    mask=None,
12    size="auto",
13    quality="high",
14    background="opaque",
15    output_compression=100,
16    output_format="png",
17    moderation="auto",
18)
19print(result["status"])                      # COMPLETED
20print(result.get("output"))                  # model output (e.g. media URL)
21print(result["metrics"]["inference_time"])   # server compute seconds
22
23# --- Or submit + poll manually (track request_id, control the cadence) ---
24from segmind import SegmindClient, InferenceFailed, InferenceTimeout
25
26client = SegmindClient()                      # reads SEGMIND_API_KEY
27payload = {
28    "prompt": "A photorealistic wide drone shot of a colossal man (exact face/body from the reference) casually sitting across a London street, one knee raised, hand resting. He wears a navy overcoat, knit sweater, dark trousers, boots, and a minimalist beanie. Tiny cars, buses, bikes, and pedestrians move around him, with classic London red-brick buildings, black lamps, and cobblestone streets dwarfed by his size. Soft overcast London daylight highlights wet pavement.",
29    "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/92a8e420-2d12-48c0-97f5-73c6c4820c34-black-man-image.jpeg"],
30    "mask": None,
31    "size": "auto",
32    "quality": "high",
33    "background": "opaque",
34    "output_compression": 100,
35    "output_format": "png",
36    "moderation": "auto",
37}
38job = client.submit_async("gpt-image-1.5-edit", **payload)
39print(job.request_id)                         # available immediately
40try:
41    result = job.wait(timeout=600, interval=1.0)
42except InferenceTimeout as e:
43    print("still running:", e.request_id)
44except InferenceFailed as e:
45    print("failed:", e.detail)