Qwen Image 2.1 Turbo 画像生成

# 1) Submit — returns { "task_uuid": "..." }
curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/alibaba/qwen-image-2.1-turbo/text-to-image" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "input": {
    "prompt": "A cozy futuristic reading nook inside a glass-walled apartment overlooking a rainy cyberpunk city at dusk, warm ambient lighting, a woman sitting in a curved chair reading a book, shelves with plants and soft blankets, realistic textures, cinematic composition, highly detailed, polished typography on a subtle book cover only, no extra text in the image, no watermark",
    "n": 1,
    "size": "2048*2048",
    "prompt_extend": true,
    "prompt_extend_mode": "direct",
    "enable_thinking": true,
    "seed": 12345
  }
}'

# 2) Poll until status is "completed", then read the output URLs
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/TASK_UUID" \
  -H "Authorization: Bearer YOUR_API_KEY"

import time, requests

API_KEY = "YOUR_API_KEY"
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

# 1) Submit
resp = requests.post(
    "https://www.namifusion.com/api/v1/marketplace/run/alibaba/qwen-image-2.1-turbo/text-to-image",
    headers=HEADERS,
    json={
        "input": {
            "prompt": "A cozy futuristic reading nook inside a glass-walled apartment overlooking a rainy cyberpunk city at dusk, warm ambient lighting, a woman sitting in a curved chair reading a book, shelves with plants and soft blankets, realistic textures, cinematic composition, highly detailed, polished typography on a subtle book cover only, no extra text in the image, no watermark",
            "n": 1,
            "size": "2048*2048",
            "prompt_extend": True,
            "prompt_extend_mode": "direct",
            "enable_thinking": True,
            "seed": 12345
        }
    },
)
resp.raise_for_status()  # 401/402/429/5xx stop here instead of polling a bad task
task = resp.json()

# 2) Poll until a terminal state (completed / failed / cancelled).
#    This model is allowed up to 1800s server-side.
deadline = time.time() + 1860
while task.get("status") not in ("completed", "failed", "cancelled"):
    if time.time() > deadline:
        raise TimeoutError(f"still {task.get('status')} — keep the task_uuid and poll later")
    time.sleep(3)
    poll = requests.get(f"https://www.namifusion.com/api/v1/marketplace/run/tasks/{task['task_uuid']}", headers=HEADERS)
    poll.raise_for_status()
    task = poll.json()

print(task["status"], task.get("output"))

const API_KEY = "YOUR_API_KEY";
const HEADERS = { Authorization: `Bearer ${API_KEY}` };

// 1) Submit
const resp = await fetch("https://www.namifusion.com/api/v1/marketplace/run/alibaba/qwen-image-2.1-turbo/text-to-image", {
  method: "POST",
  headers: { ...HEADERS, "Content-Type": "application/json" },
  body: JSON.stringify({
    "input": {
      "prompt": "A cozy futuristic reading nook inside a glass-walled apartment overlooking a rainy cyberpunk city at dusk, warm ambient lighting, a woman sitting in a curved chair reading a book, shelves with plants and soft blankets, realistic textures, cinematic composition, highly detailed, polished typography on a subtle book cover only, no extra text in the image, no watermark",
      "n": 1,
      "size": "2048*2048",
      "prompt_extend": true,
      "prompt_extend_mode": "direct",
      "enable_thinking": true,
      "seed": 12345
    }
  }),
});
if (!resp.ok) throw new Error(`submit failed: ${resp.status} ${await resp.text()}`);
let task = await resp.json();

// 2) Poll until a terminal state (completed / failed / cancelled).
//    This model is allowed up to 1800s server-side.
const deadline = Date.now() + 1860 * 1000;
while (!["completed", "failed", "cancelled"].includes(task.status)) {
  if (Date.now() > deadline) throw new Error(`still ${task.status} — keep the task_uuid and poll later`);
  await new Promise((r) => setTimeout(r, 3000));
  const poll = await fetch(`https://www.namifusion.com/api/v1/marketplace/run/tasks/${task.task_uuid}`, { headers: HEADERS });
  if (!poll.ok) throw new Error(`poll failed: ${poll.status}`);
  task = await poll.json();
}

console.log(task.status, task.output);