GPT Image 1.5 Edit

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/gpt-image-1.5-edit"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "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.",
12    "image_urls": [
13        "https://segmind-resources.s3.amazonaws.com/input/92a8e420-2d12-48c0-97f5-73c6c4820c34-black-man-image.jpeg"
14    ],
15    "mask": null,
16    "size": "auto",
17    "quality": "high",
18    "background": "opaque",
19    "output_compression": 100,
20    "output_format": "png",
21    "moderation": "auto"
22}
23
24response = requests.post(url, headers=headers, json=data)
25
26if response.status_code == 200:
27    result = response.json()
28    print(json.dumps(result, indent=2))
29else:
30    print(f"Error: {response.status_code}")
31    print(response.text)