curl --request POST \
  --url 'https://api.elkapi.com/v1/images/edits' \
  --header 'Authorization: Bearer <token>' \
  --form 'image=@https://example.com/image.png' \
  --form 'mask=@file.bin' \
  --form 'prompt=一只小猫在阳光下的花园里奔跑，电影感，高细节' \
  --form 'n=1' \
  --form 'size=1024x1024' \
  --form 'response_format=json' \
  --form 'user=' \
  --form 'model=gpt-image-1.5'

import requests

url = "https://api.elkapi.com/v1/images/edits"
headers = {
    "Authorization": "Bearer <token>"
}
files = {
    "image": open("https://example.com/image.png", "rb"),
    "mask": open("file.bin", "rb"),
}
data = {
    "prompt": "一只小猫在阳光下的花园里奔跑，电影感，高细节",
    "n": "1",
    "size": "1024x1024",
    "response_format": "json",
    "user": "",
    "model": "gpt-image-1.5",
}

response = requests.request("POST", url, headers=headers, data=data, files=files)
print(response.text)

const url = "https://api.elkapi.com/v1/images/edits";

const headers = {
  "Authorization": "Bearer <token>"
};
const form = new FormData();
form.append("image", fileInput.files[0]);
form.append("mask", fileInput.files[0]);
form.append("prompt", "一只小猫在阳光下的花园里奔跑，电影感，高细节");
form.append("n", "1");
form.append("size", "1024x1024");
form.append("response_format", "json");
form.append("user", "");
form.append("model", "gpt-image-1.5");

const response = await fetch(url, {
  method: "POST",
  headers,
  body: form
});

console.log(await response.text());

{}