GPT Image 2 Web 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-web",
    "prompt": "A compact reading lamp on a pale desk, editorial product photo, no text",
    "size": "1024x1024",
    "quality": "high",
    "n": 1
  }' > response.json

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

const headers = {
  Authorization: `Bearer ${process.env.YINGTU_API_KEY}`,
  "Content-Type": "application/json",
  "Idempotency-Key": crypto.randomUUID(),
};

const submitted = await fetch(
  "https://api.yingtu.ai/v1/images/tasks",
  {
    method: "POST",
    headers,
    body: JSON.stringify({
      model: "gpt-image-2-web",
      action: "generate",
      prompt: "A glass greenhouse in a snowy forest at dusk, no text",
      size: "2048x2048",
      n: 1,
    }),
  },
);
if (submitted.status !== 202) throw new Error(`Submit failed: ${submitted.status}`);

const { task_id } = await submitted.json();
const deadline = Date.now() + 5 * 60_000;
let image;

while (Date.now() < deadline) {
  const response = await fetch(
    `https://api.yingtu.ai/v1/tasks/${task_id}`,
    { headers: { Authorization: headers.Authorization } },
  );
  if (!response.ok) throw new Error(`Poll failed: ${response.status}`);
  const task = await response.json();
  if (task.status === "completed") {
    image = task.result?.data?.[0]?.b64_json;
    if (!image) throw new Error("Completed task did not include image data");
    break;
  }
  if (["failed", "expired"].includes(task.status)) throw new Error(task.error?.message || task.status);
  await new Promise((resolve) => setTimeout(resolve, 3000));
}
if (!image) throw new Error("Task deadline exceeded");

import base64
import os
from pathlib import Path

import requests

with Path("product.png").open("rb") as source:
    response = requests.post(
        "https://api.yingtu.ai/v1/images/edits",
        headers={"Authorization": f"Bearer {os.environ['YINGTU_API_KEY']}"},
        data={
            "model": "gpt-image-2-web",
            "prompt": "Keep the product and replace the background with pale blue",
            "size": "1024x1024",
            "n": "1",
        },
        files={"image": ("product.png", source, "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("Response did not include image data")
Path("edited.png").write_bytes(base64.b64decode(encoded))

import fs from "node:fs";

const product = fs.readFileSync("product.png").toString("base64");
const setting = fs.readFileSync("setting.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: "Keep the product and replace the background with pale blue",
    input_images: [
      { mime_type: "image/png", data: product },
      { mime_type: "image/jpeg", data: setting },
    ],
    size: "1024x1024",
    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);