GPT Image 2 VIP API examples

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-vip",
    "prompt": "A silver watch on dark stone, controlled studio light, no text",
    "size": "1024x1024",
    "quality": "medium",
    "n": 1
  }' | jq -er '.data[0].b64_json' | base64 --decode > watch.png

import base64
import os
import time
from pathlib import Path

import requests

headers = {
    "Authorization": f"Bearer {os.environ['YINGTU_API_KEY']}",
    "Idempotency-Key": "vip-landscape-001",
}
submitted = requests.post(
    "https://api.yingtu.ai/v1/images/tasks",
    headers=headers,
    json={
        "model": "gpt-image-2-vip",
        "action": "generate",
        "prompt": "A glass greenhouse in a snowy forest at dusk, no text",
        "size": "3840x2160",
        "quality": "high",
        "n": 1,
    },
    timeout=30,
)
submitted.raise_for_status()
if submitted.status_code != 202:
    raise RuntimeError(f"Expected HTTP 202, received {submitted.status_code}")
task_id = submitted.json()["task_id"]

deadline = time.monotonic() + 300
while time.monotonic() < deadline:
    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("Completed task did not include image data")
        Path("greenhouse.png").write_bytes(base64.b64decode(encoded))
        break
    if task["status"] in {"failed", "expired"}:
        raise RuntimeError(task.get("error", {}).get("message", "Task failed"))
    time.sleep(3)
else:
    raise TimeoutError("Task deadline exceeded")

curl 'https://api.yingtu.ai/v1/images/edits' \
  -H 'Authorization: Bearer YOUR_YINGTU_API_KEY' \
  -F 'model=gpt-image-2-vip' \
  -F 'image=@product.png;type=image/png' \
  -F 'prompt=Keep the product and replace the background with pale blue' \
  -F 'size=2048x2048' \
  -F 'quality=high' \
  -F 'n=1' > edited-response.json

jq -er '.data[0].b64_json' edited-response.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-vip",
    action: "edit",
    prompt: "Keep the product and replace the background with pale blue",
    input_images: [
      { mime_type: "image/png", data: product },
      { mime_type: "image/jpeg", data: scene },
    ],
    size: "2048x2048",
    quality: "high",
    n: 1,
  }),
});
if (submitted.status !== 202) throw new Error(`Submit failed: ${submitted.status}`);
const { task_id } = await submitted.json();
console.log(task_id);

const qualities = new Set(["low", "medium", "high", "auto"]);
if (!qualities.has(input.quality)) throw new TypeError("Unsupported quality");