Nano Banana Pro 还是 GPT Image 2.5：同一提示词实测

# 需要 bash、curl 和 uuidgen。每个请求用一个新的幂等键。
IDEMPOTENCY_KEY="$(uuidgen)" || exit 1
curl --fail-with-body --max-time 30 \
  -X POST https://api.rendergrid.io/api/public/v1/images/generate \
  -H "Authorization: Bearer $RENDERGRID_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-Idempotency-Key: $IDEMPOTENCY_KEY" \
  -d '{
    "model": "nano-banana-pro",
    "prompt": "做一张竖版夏日饮品海报。浅木桌中央放一瓶透明瓶装柠檬水，旁边只有两片柠檬和一小枝薄荷。奶油色背景，暖光从侧面照入，瓶子完整入镜，四周留白。上方标题写“夏日午后”，瓶子下方写“柠檬水”，使用清楚易读的简洁字体。只出现指定文字，不添加标志、人物或水印。",
    "resolution": "1K",
    "aspect_ratio": "2:3"
  }'

# 换成 gpt-image-2.5：请求体只改 "model"，再重新运行上面的命令（会生成新的幂等键）。
# 然后用响应里的 id 查询状态：
CREATION_ID="5b0214ae-9e39-460a-820a-f6ae3e24400b"  # 上一步响应里的 id
curl --fail-with-body --max-time 20 \
  "https://api.rendergrid.io/api/public/v1/creations/$CREATION_ID" \
  -H "Authorization: Bearer $RENDERGRID_API_KEY"

import os
import time
import uuid

import requests

API = "https://api.rendergrid.io/api/public/v1"
KEY = os.environ["RENDERGRID_API_KEY"]
PROMPT = "做一张竖版夏日饮品海报。浅木桌中央放一瓶透明瓶装柠檬水，旁边只有两片柠檬和一小枝薄荷。奶油色背景，暖光从侧面照入，瓶子完整入镜，四周留白。上方标题写“夏日午后”，瓶子下方写“柠檬水”，使用清楚易读的简洁字体。只出现指定文字，不添加标志、人物或水印。"

for model in ("nano-banana-pro", "gpt-image-2.5"):
    response = requests.post(
        f"{API}/images/generate",
        headers={
            "Authorization": f"Bearer {KEY}",
            # 每个请求用一个新的值；重试同一个请求时沿用原来的值
            "X-Idempotency-Key": str(uuid.uuid4()),
        },
        json={
            "model": model,
            "prompt": PROMPT,
            "resolution": "1K",
            "aspect_ratio": "2:3",
        },
        timeout=(10, 120),
    )
    response.raise_for_status()
    creation_id = response.json()["id"]

    while True:
        time.sleep(5)  # 查询频率不能高于每 5 秒一次
        r = requests.get(
            f"{API}/creations/{creation_id}",
            headers={"Authorization": f"Bearer {KEY}"},
            timeout=(5, 20),
        )
        r.raise_for_status()
        creation = r.json()
        if creation["status"] in ("completed", "failed"):
            break

    print(model, creation["status"], creation.get("result_urls"))

// Node.js 22+，文件扩展名为 .mjs
import { randomUUID } from "node:crypto";

const API = "https://api.rendergrid.io/api/public/v1";
const auth = { Authorization: `Bearer ${process.env.RENDERGRID_API_KEY}` };
const prompt = "做一张竖版夏日饮品海报。浅木桌中央放一瓶透明瓶装柠檬水，旁边只有两片柠檬和一小枝薄荷。奶油色背景，暖光从侧面照入，瓶子完整入镜，四周留白。上方标题写“夏日午后”，瓶子下方写“柠檬水”，使用清楚易读的简洁字体。只出现指定文字，不添加标志、人物或水印。";

for (const model of ["nano-banana-pro", "gpt-image-2.5"]) {
  const response = await fetch(`${API}/images/generate`, {
    method: "POST",
    headers: {
      ...auth,
      "Content-Type": "application/json",
      // 每个请求用一个新的值；重试同一个请求时沿用原来的值
      "X-Idempotency-Key": randomUUID(),
    },
    body: JSON.stringify({ model, prompt, resolution: "1K", aspect_ratio: "2:3" }),
    signal: AbortSignal.timeout(120_000),
  });
  if (response.status !== 202) {
    throw new Error(`HTTP ${response.status}: ${await response.text()}`);
  }
  const { id } = await response.json();

  let creation;
  do {
    // 查询频率不能高于每 5 秒一次
    await new Promise((resolve) => setTimeout(resolve, 5000));
    const res = await fetch(`${API}/creations/${id}`, { headers: auth });
    if (!res.ok) {
      throw new Error(`HTTP ${res.status}: ${await res.text()}`);
    }
    creation = await res.json();
  } while (["queued", "processing"].includes(creation.status));

  console.log(model, creation.status, creation.result_urls ?? creation.error);
}