gpt-image-2.5-flare-c 图片编辑

const fs = require("node:fs/promises");

(async () => {
  const body = new FormData();
  body.append("model", "gpt-image-2.5-flare-c");
  body.append("prompt", "将背景改为海滩，保留主体外观");
  body.append("image", new Blob([await fs.readFile("reference.png")]), "reference.png");
  const response = await fetch("https://api.apizt.com/v1/images/edits", {
    method: "POST",
    headers: { Authorization: "Bearer " + process.env.tokenba_API_KEY },
    body
  });
  console.log(response.status, await response.text());
})().catch(console.error);

import os
from contextlib import ExitStack
import requests

with ExitStack() as stack:
    files = {
        'image': ('reference.png', stack.enter_context(open('reference.png', "rb"))),
    }
    response = requests.post(
        'https://api.apizt.com/v1/images/edits',
        headers={"Authorization": "Bearer " + os.environ["tokenba_API_KEY"]},
        data={'model': 'gpt-image-2.5-flare-c', 'prompt': '将背景改为海滩，保留主体外观'},
        files=files,
        timeout=600,
    )
    response.raise_for_status()
    print(response.json())

POST https://api.apizt.com/v1/images/edits HTTP/1.1
Authorization: Bearer {{tokenba_API_KEY}}
Content-Type: multipart/form-data; boundary=tokenba-example

--tokenba-example
Content-Disposition: form-data; name="model"

gpt-image-2.5-flare-c
--tokenba-example
Content-Disposition: form-data; name="prompt"

将背景改为海滩，保留主体外观
--tokenba-example
Content-Disposition: form-data; name="image"; filename="reference.png"
Content-Type: image/png

< ./reference.png
--tokenba-example--