GPT Image 2 VIP 调用示例

import fs from "node:fs";

const response = await fetch("https://api.yingtu.ai/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.YINGTU_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-image-2-vip",
    prompt: "深色石材上的银色腕表，克制的摄影棚光线，不要文字",
    size: "1024x1024",
    quality: "medium",
    n: 1,
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
const body = await response.json();
const encoded = body.data?.[0]?.b64_json;
if (!encoded) throw new Error("响应中没有图片数据");
fs.writeFileSync("watch.png", Buffer.from(encoded, "base64"));

import base64
import os
import time
from pathlib import Path

import requests

headers = {
    "Authorization": f"Bearer {os.environ['YINGTU_API_KEY']}",
    "Idempotency-Key": "vip-station-001",
}
submitted = requests.post(
    "https://api.yingtu.ai/v1/images/tasks",
    headers=headers,
    json={
        "model": "gpt-image-2-vip",
        "action": "generate",
        "prompt": "雪山脚下的现代车站，电影感横幅，不要文字",
        "size": "3840x2160",
        "quality": "high",
        "n": 1,
    },
    timeout=30,
)
submitted.raise_for_status()
if submitted.status_code != 202:
    raise RuntimeError(f"异步提交应返回 HTTP 202，实际为 {submitted.status_code}")
task_id = submitted.json()["task_id"]

end_at = time.monotonic() + 300
while time.monotonic() < end_at:
    polled = requests.get(
        f"https://api.yingtu.ai/v1/tasks/{task_id}", headers=headers, timeout=30
    )
    polled.raise_for_status()
    task = polled.json()
    if task["status"] == "completed":
        items = task.get("result", {}).get("data") or []
        encoded = items[0].get("b64_json") if items else None
        if not encoded:
            raise RuntimeError("任务完成但没有返回图片数据")
        Path("station.png").write_bytes(base64.b64decode(encoded))
        break
    if task["status"] in {"failed", "expired"}:
        raise RuntimeError(task.get("error", {}).get("message", "任务失败"))
    time.sleep(3)
else:
    raise TimeoutError("等待任务完成超时")

import base64
import os
from pathlib import Path

import requests

with open("room.png", "rb") as image:
    response = requests.post(
        "https://api.yingtu.ai/v1/images/edits",
        headers={"Authorization": f"Bearer {os.environ['YINGTU_API_KEY']}"},
        data={
            "model": "gpt-image-2-vip",
            "prompt": "保留家具布局，把墙面换成浅蓝色",
            "size": "2048x2048",
            "quality": "high",
            "n": "1",
        },
        files={"image": ("room.png", image, "image/png")},
        timeout=180,
    )
response.raise_for_status()
body = response.json()
items = body.get("data") or []
encoded = items[0].get("b64_json") if items else None
if not encoded:
    raise RuntimeError("响应中没有图片数据")
Path("room-edited.png").write_bytes(base64.b64decode(encoded))

import fs from "node:fs";

const room = fs.readFileSync("room.png").toString("base64");
const style = fs.readFileSync("style.jpg").toString("base64");
const submitted = await fetch("https://api.yingtu.ai/v1/images/tasks", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.YINGTU_API_KEY}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    model: "gpt-image-2-vip",
    action: "edit",
    prompt: "保留家具布局，把墙面换成浅蓝色",
    input_images: [
      { mime_type: "image/png", data: room },
      { mime_type: "image/jpeg", data: style },
    ],
    size: "2048x2048",
    quality: "high",
    n: 1,
  }),
});
if (submitted.status !== 202) throw new Error(`提交失败：${submitted.status}`);
const { task_id } = await submitted.json();
console.log(task_id);