Stable Diffusion XL 0.9 Serverless API

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/sdxl-txt2img"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "a beautiful stack of rocks sitting on top of a beach, a picture, red black white golden colors, chakras, packshot, stock photo",
12    "negative_prompt": "asian, african, makeup, fake, cgi, 3d, doll, art, anime, cartoon, illustration, painting, digital, blur, sepia, b&w, unnatural, unreal, photoshop, filter, airbrush, poor anatomy, lr",
13    "samples": 1,
14    "scheduler": "dpmpp_sde_ancestral",
15    "num_inference_steps": 25,
16    "guidance_scale": 8,
17    "strength": 1,
18    "seed": 2784983004,
19    "img_width": 768,
20    "img_height": 768,
21    "base64": false
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)