几行代码，把 平台模型
接进你的业务

curl -X POST https://api.yunheng.ai/v1/images/generate \
  -H "Authorization: Bearer $YUNHENG_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "赛博朋克城市夜景，霓虹灯光，电影级画质",
    "model": "FLUX.2 Pro",
    "size": "1024x1024",
    "quality": "hd"
  }'

# 响应
{
  "task_id": "task_8f3k2m9x",
  "status": "queued"
}

const res = await fetch("https://api.yunheng.ai/v1/images/generate", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.YUNHENG_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    prompt: "一杯拿铁，清晨窗边，商业摄影",
    model: "FLUX.2 Pro",
    size: "1024x1024",
  }),
});

const { task_id } = await res.json();

// 轮询任务状态
const task = await (
  await fetch(`https://api.yunheng.ai/v1/tasks/${task_id}`, {
    headers: { Authorization: `Bearer ${process.env.YUNHENG_API_KEY}` },
  })
).json();
console.log(task.status, task.result?.url);

import requests

resp = requests.post(
    "https://api.yunheng.ai/v1/videos/generate",
    headers={
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    },
    json={
        "prompt": "无人机航拍雪山日出，电影感",
        "model": "Seedance 2.0",
        "duration": 10,
        "resolution": "1080p",
        "camera_control": "orbit",
    },
)

task_id = resp.json()["task_id"]

# 查询结果（或配置 Webhook 自动接收）
task = requests.get(
    f"https://api.yunheng.ai/v1/tasks/{task_id}",
    headers={"Authorization": f"Bearer {API_KEY}"},
).json()

print(task["status"], task.get("result", {}).get("url"))