Consistent Character V1

 1import requests
 2import json
 3
 4url = "https://api.segmind.com/v1/consistent-character-ai-neolemon"
 5headers = {
 6    "x-api-key": "YOUR_API_KEY",
 7    "Content-Type": "application/json"
 8}
 9
10data = {
11    "prompt": "((masterpiece, best quality, highly detailed)), simple background, character sheet, multiple poses, multiple actions, visible face, (one person), portrait, full body, young african american girl, white sweater, jeans, short curly brown hair, 2D illustration style",
12    "negative_prompt": "text, watermark, underexposed, ugly, jpeg, (worst quality, low quality, lowres, low details, oversaturated, undersaturated, overexposed, grayscale, bw, bad photo, bad art:1.4), (font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), cropped, out of frame, cut off, jpeg artifacts, out of focus, glitch, duplicate, (amateur:1.3), merging, clipping, (nsfw), multiple hands, mutant, glitch, uncanny, cross eye, broken face, astronaut, helmet, blurry,",
13    "image": "https://segmind-sd-models.s3.amazonaws.com/display_images/testing_imgs/ref.pose.png",
14    "num_inference_steps": 20,
15    "guidance_scale": 7,
16    "seed": 4898558797,
17    "samples": 1,
18    "strength": 0.8,
19    "scheduler": "karras",
20    "sampler": "dpmpp_2m",
21    "upscale_by": 2,
22    "upscale_steps": 20,
23    "upscale_guidance_scale": 7,
24    "upscale_scheduler": "karras",
25    "upscale_sampler": "dpmpp_2m",
26    "upscale_mode_type": "Linear",
27    "fd_steps": 20,
28    "fd_guidance_scale": 7,
29    "fd_scheduler": "karras",
30    "fd_sampler": "dpmpp_2m"
31}
32
33response = requests.post(url, headers=headers, json=data)
34
35if response.status_code == 200:
36    result = response.json()
37    print(json.dumps(result, indent=2))
38else:
39    print(f"Error: {response.status_code}")
40    print(response.text)