curl --request POST \
  --url 'https://api.elkapi.com/v1/images/generations' \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gpt-image-1.5",
  "input": "오늘 날씨가 정말 좋아 산책하기에 좋습니다."
}'

import requests

url = "https://api.elkapi.com/v1/images/generations"
headers = {
    "Authorization": "Bearer <token>"
}
headers["Content-Type"] = "application/json"
payload = {
    "model": "gpt-image-1.5",
    "input": "오늘 날씨가 정말 좋아 산책하기에 좋습니다."
}

response = requests.request("POST", url, headers=headers, json=payload)
print(response.json())

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

const headers = {
  "Authorization": "Bearer <token>"
};
headers["Content-Type"] = "application/json";
const payload = {
  "model": "gpt-image-1.5",
  "input": "오늘 날씨가 정말 좋아 산책하기에 좋습니다."
};

const response = await fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(payload)
});

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

{
  "created": 1,
  "data": [
    {
      "url": "https://example.com/image.png",
      "b64_json": "b64_json",
      "revised_prompt": "revised_prompt"
    }
  ]
}