Controlnet Inpainting Serverless API

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/inpaint-auto"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "image": "https://segmind-sd-models.s3.amazonaws.com/outputs/inpaint_auto.jpeg",
12    "prompt": "woman in space suit , underwater, full body, floating in water, air bubbles, detailed eyes, deep sea in background, water surface, god ray, fish",
13    "negative_prompt": "disfigured, deformed, ugly",
14    "samples": 1,
15    "base_model": "SDXL",
16    "cn_model": "Depth",
17    "cn_processor": "DPM++ 2M SDE Karras",
18    "scheduler": "DPM++ 2M SDE Karras",
19    "num_inference_steps": 25,
20    "guidance_scale": 7,
21    "seed": 12467,
22    "strength": 0.9,
23    "base64": false
24}
25
26response = requests.post(url, headers=headers, json=data)
27
28if response.status_code == 200:
29    result = response.json()
30    print(json.dumps(result, indent=2))
31else:
32    print(f"Error: {response.status_code}")
33    print(response.text)