GPT Image 2 Web 调用示例

curl 'https://api.yingtu.ai/v1/images/generations' \
  -H 'Authorization: Bearer YOUR_YINGTU_API_KEY' \
  -H 'Content-Type: application/json' \
  -d '{
    "model": "gpt-image-2-web",
    "prompt": "窗边的极简阅读灯，杂志产品摄影，不要文字",
    "size": "1024x1024",
    "quality": "high",
    "n": 1
  }' > result.json

jq -er '.data[0].b64_json' result.json | base64 --decode > lamp.png

import base64
import os
import time
from pathlib import Path

import requests

headers = {
    "Authorization": f"Bearer {os.environ['YINGTU_API_KEY']}",
    "Idempotency-Key": "greenhouse-job-001",
}
submitted = requests.post(
    "https://api.yingtu.ai/v1/images/tasks",
    headers=headers,
    json={
        "model": "gpt-image-2-web",
        "action": "generate",
        "prompt": "雪地森林中的玻璃温室，黄昏光线，不要文字",
        "size": "2048x2048",
        "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("greenhouse.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")

curl 'https://api.yingtu.ai/v1/images/edits' \
  -H 'Authorization: Bearer YOUR_YINGTU_API_KEY' \
  -F 'model=gpt-image-2-web' \
  -F 'image=@product.png;type=image/png' \
  -F 'prompt=保留产品主体，把背景换成浅蓝色' \
  -F 'size=1024x1024' \
  -F 'n=1' > edit.json

jq -er '.data[0].b64_json' edit.json | base64 --decode > edited.png

import fs from "node:fs";

const product = fs.readFileSync("product.png").toString("base64");
const scene = fs.readFileSync("scene.jpg").toString("base64");
const submitted = await fetch("https://api.yingtu.ai/v1/images/tasks", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.YINGTU_API_KEY}`,
    "Content-Type": "application/json",
    "Idempotency-Key": crypto.randomUUID(),
  },
  body: JSON.stringify({
    model: "gpt-image-2-web",
    action: "edit",
    prompt: "保留产品主体，把背景换成浅蓝色",
    input_images: [
      { mime_type: "image/png", data: product },
      { mime_type: "image/jpeg", data: scene },
    ],
    size: "1024x1024",
    quality: "high",
    n: 1,
  }),
});
if (submitted.status !== 202) throw new Error(`提交失败：${submitted.status}`);
const { task_id } = await submitted.json();
console.log(task_id);