GPT Image 1.5 Edit 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    size="auto",
12    quality="high",
13    background="opaque",
14    output_compression=100,
15    output_format="png",
16    moderation="auto",
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 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.",
28    "image_urls": ["https://segmind-resources.s3.amazonaws.com/input/92a8e420-2d12-48c0-97f5-73c6c4820c34-black-man-image.jpeg"],
29    "size": "auto",
30    "quality": "high",
31    "background": "opaque",
32    "output_compression": 100,
33    "output_format": "png",
34    "moderation": "auto",
35}
36job = client.submit_async("gpt-image-1.5-edit", **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)