curl --request POST \
  --url https://alb.neural4d.com:3000/api/createNormalPicture \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'prompt=a beautiful flower' \
  --form 'images[0]=(binary)' \
  --form 'images[1]=(binary)' \
  --form 'images[2]=(binary)' \
  --form jobNum=2 \
  --form modelKey=image-2 \
  --form aspectRatio=4:3 \
  --form images.items='@example-file'

const form = new FormData();
form.append('prompt', 'a beautiful flower');
form.append('images[0]', '(binary)');
form.append('images[1]', '(binary)');
form.append('images[2]', '(binary)');
form.append('jobNum', '2');
form.append('modelKey', 'image-2');
form.append('aspectRatio', '4:3');
form.append('images.items', '{
  "fileName": "example-file"
}');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

fetch('https://alb.neural4d.com:3000/api/createNormalPicture', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://alb.neural4d.com:3000/api/createNormalPicture"

files = { "images.items": ("example-file", open("example-file", "rb")) }
payload = {
    "prompt": "a beautiful flower",
    "images[0]": "(binary)",
    "images[1]": "(binary)",
    "images[2]": "(binary)",
    "jobNum": "2",
    "modelKey": "image-2",
    "aspectRatio": "4:3"
}
headers = {"Authorization": "Bearer <token>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

{
  "success": true,
  "data": {
    "pointsDeducted": 26,
    "queueStatus": "queued",
    "jobNum": 2,
    "uuids": [
      "834d7e8c-bd70-48d8-9830-ca1ad9886e33",
      "774bd78d-d14f-4531-8972-321086c92edu"
    ]
  }
}