curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
  "model": "gpt-image-2.6-ext",
  "version": "flare",
  "prompt": "An orange cat resting on a sunny windowsill, a city after the rain, warm cinematic lighting",
  "size": "16:9",
  "resolution": "1k",
  "quality": "high",
  "n": 1
}'

import time
import requests

base_url = "https://api.apimart.ai"
headers = {"Authorization": "Bearer <token>"}
payload = {
    "model": "gpt-image-2.6-ext",
    "version": "flare",
    "prompt": "An orange cat resting on a sunny windowsill, a city after the rain, warm cinematic lighting",
    "size": "16:9",
    "resolution": "1k",
    "quality": "high",
    "n": 1
}
response = requests.post(
    f"{base_url}/v1/images/generations",
    headers=headers, json=payload, timeout=30,
)
response.raise_for_status()
task_id = response.json()["data"][0]["task_id"]
print(task_id)

deadline = time.monotonic() + 300
while time.monotonic() < deadline:
    response = requests.get(
        f"{base_url}/v1/tasks/{task_id}", headers=headers, timeout=30,
    )
    response.raise_for_status()
    body = response.json()
    task = body.get("data", body)
    if task["status"] == "completed":
        print(task["result"]["images"][0]["url"])
        break
    if task["status"] == "failed":
        raise RuntimeError(task["error"]["message"])
    time.sleep(4)
else:
    raise TimeoutError(f"Continue polling task {task_id}")

const baseUrl = "https://api.apimart.ai";
const headers = {
  Authorization: "Bearer <token>",
  "Content-Type": "application/json",
};
const response = await fetch(`${baseUrl}/v1/images/generations`, {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "gpt-image-2.6-ext",
    "version": "flare",
    "prompt": "An orange cat resting on a sunny windowsill, a city after the rain, warm cinematic lighting",
    "size": "16:9",
    "resolution": "1k",
    "quality": "high",
    "n": 1
  }),
});
if (!response.ok) throw new Error(await response.text());
const taskId = (await response.json()).data[0].task_id;
console.log(taskId);

async function waitForTask(taskId) {
  const deadline = Date.now() + 300_000;
  while (Date.now() < deadline) {
    const response = await fetch(`${baseUrl}/v1/tasks/${taskId}`, { headers });
    if (!response.ok) throw new Error(await response.text());
    const body = await response.json();
    const task = body.data ?? body;
    if (task.status === "completed") return task.result.images[0].url;
    if (task.status === "failed") throw new Error(task.error.message);
    await new Promise(resolve => setTimeout(resolve, 4000));
  }
  throw new Error(`Continue polling task ${taskId}`);
}
console.log(await waitForTask(taskId));

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01EXAMPLE"
    }
  ]
}

{
  "error": {
    "message": "quality \"ultra\" is not supported (supported: auto / low / medium / high / xhigh / max)",
    "type": "invalid_request_error",
    "param": "",
    "code": "invalid_request_error"
  }
}