GPT Image 2.5

import time, requests

API = "https://mixmedia.tech/api/v1"
HEADERS = {"Authorization": "Bearer YOUR_API_KEY"}

task = requests.post(f"{API}/jobs/createTask", headers=HEADERS, json={
    "model": "gpt-image-2.5-text-to-image",
    "callBackUrl": "https://your-app.example/callback",
    "input": {
        "prompt": "Minimal logo for a coffee shop called \"Luna\": a cup and a crescent moon",
        "input_urls": [],
        "resolution": "1K",
        "aspect_ratio": "auto",
        "output_format": "png",
        "background": "auto",
        "moderation": "low",
        "quality": "auto"
    }
}).json()
task_id = task["data"]["taskId"]

while True:
    info = requests.get(f"{API}/jobs/recordInfo", headers=HEADERS, params={"taskId": task_id}).json()["data"]
    if info["state"] in ("success", "fail"):
        break
    time.sleep(4)
print(info["state"], info.get("resultJson") or info.get("failMsg"))

const API = "https://mixmedia.tech/api/v1";
const headers = { Authorization: "Bearer YOUR_API_KEY", "Content-Type": "application/json" };

const { data } = await fetch(`${API}/jobs/createTask`, {
  method: "POST", headers,
  body: JSON.stringify({
    "model": "gpt-image-2.5-text-to-image",
    "callBackUrl": "https://your-app.example/callback",
    "input": {
      "prompt": "Minimal logo for a coffee shop called \"Luna\": a cup and a crescent moon",
      "input_urls": [],
      "resolution": "1K",
      "aspect_ratio": "auto",
      "output_format": "png",
      "background": "auto",
      "moderation": "low",
      "quality": "auto"
    }
  }),
}).then((r) => r.json());

let info;
do {
  await new Promise((r) => setTimeout(r, 4000));
  info = (await fetch(`${API}/jobs/recordInfo?taskId=${data.taskId}`, { headers }).then((r) => r.json())).data;
} while (!["success", "fail"].includes(info.state));
console.log(info.state, info.resultJson ?? info.failMsg);