Stable Diffusion XL 1.0

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/sdxl1.0-txt2img"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "cinematic film still, 4k, realistic, ((cinematic photo:1.3)) of panda wearing a blue spacesuit, sitting in a bar, Fujifilm XT3, long shot, ((low light:1.4)), ((looking straight at the camera:1.3)), upper body shot, somber, shallow depth of field, vignette, highly detailed, high budget Hollywood movie, bokeh, cinemascope, moody, epic, gorgeous, film grain, grainy",
12    "negative_prompt": "ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, blurry, bad anatomy, blurred, watermark, grainy, signature, cut off, draft",
13    "style": "base",
14    "samples": 1,
15    "scheduler": "UniPC",
16    "num_inference_steps": 25,
17    "guidance_scale": 8,
18    "strength": 0.2,
19    "high_noise_fraction": 0.8,
20    "seed": 468685,
21    "img_width": 896,
22    "img_height": 1152,
23    "refiner": true,
24    "base64": false
25}
26
27response = requests.post(url, headers=headers, json=data)
28
29if response.status_code == 200:
30    result = response.json()
31    print(json.dumps(result, indent=2))
32else:
33    print(f"Error: {response.status_code}")
34    print(response.text)