curl --request POST \
  --url https://alb.neural4d.com:3000/api/createNormalVideo \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'prompt=a flower bouquet' \
  --form 'images=(binary)' \
  --form duration=14 \
  --form aspectRatio=9:16 \
  --form resolution=480p \
  --form jobNum=3 \
  --form images.items='@example-file'

const form = new FormData();
form.append('prompt', 'a flower bouquet');
form.append('images', '(binary)');
form.append('duration', '14');
form.append('aspectRatio', '9:16');
form.append('resolution', '480p');
form.append('jobNum', '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/createNormalVideo', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

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

files = { "images.items": ("example-file", open("example-file", "rb")) }
payload = {
    "prompt": "a flower bouquet",
    "images": "(binary)",
    "duration": "14",
    "aspectRatio": "9:16",
    "resolution": "480p",
    "jobNum": "3"
}
headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

{
  "success": true,
  "data": {
    "pointsDeducted": 1344,
    "queueStatus": "queued",
    "jobNum": 3,
    "uuids": [
      "18c8eb80-e1b0-43d4-878e-7fdd31a7e525",
      "76f14626-e2ef-466c-a720-473dc64ebf43",
      "acb40a9d-082b-4842-bd92-1955b7eb1a13"
    ]
  }
}