万相 3.0 视频生成 API

curl --location "https://api.looprouter.com/api/v1/services/aigc/video-generation/video-synthesis" \
  -H "X-DashScope-Async: enabled" \
  -H "Authorization: Bearer $LOOPROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "wan3.0-video",
    "input": {
      "prompt": "一只小猫在月光下的屋顶上奔跑，城市的霓虹灯在远处闪烁，电影级画质，流畅运镜。"
    },
    "parameters": {
      "resolution": "1080P",
      "ratio": "adaptive",
      "duration": 5,
      "prompt_extend": true
    }
  }'

# 返回：{"output":{"task_status":"PENDING","task_id":"..."},"request_id":"..."}
# 只返回任务 ID，视频需轮询查询接口获取

import time
import requests

BASE = "https://api.looprouter.com"
HEADERS = {
    "Authorization": "Bearer sk-你的APIKey",
    "Content-Type": "application/json",
    "X-DashScope-Async": "enabled",  # 可选
}

# 1. 创建任务
resp = requests.post(
    f"{BASE}/api/v1/services/aigc/video-generation/video-synthesis",
    headers=HEADERS,
    json={
        "model": "wan3.0-video",
        "input": {
            "prompt": "一只小猫在月光下的屋顶上奔跑，城市的霓虹灯在远处闪烁，电影级画质，流畅运镜。"
        },
        "parameters": {
            "resolution": "1080P",
            "ratio": "adaptive",
            "duration": 5,          # 2~30 秒的明确整数，不支持 -1
            "prompt_extend": True,   # 开启 prompt 智能改写，短提示词效果提升明显
            # "audio": True,         # 默认输出含声音
            # "seed": 42,            # 固定随机种子，结果更可复现
        },
    },
)
resp.raise_for_status()
task_id = resp.json()["output"]["task_id"]
print("任务已创建:", task_id)

# 2. 轮询任务状态（建议 15 秒一次；长时长任务可适当延长）
while True:
    task = requests.get(
        f"{BASE}/api/v1/tasks/{task_id}",
        headers={"Authorization": HEADERS["Authorization"]},
    ).json()
    status = task["output"]["task_status"]
    print("当前状态:", status)
    if status in ("SUCCEEDED", "FAILED", "CANCELED", "UNKNOWN"):
        break
    time.sleep(15)

# 3. 下载成片（下载时不要携带 Authorization 头）
if status == "SUCCEEDED":
    video_url = task["output"]["video_url"]
    with requests.get(video_url, stream=True) as r:
        r.raise_for_status()
        with open("output.mp4", "wb") as f:
            for chunk in r.iter_content(chunk_size=1 << 20):
                f.write(chunk)
    print("已保存 output.mp4")
else:
    print("任务未成功:", task["output"].get("message"))

# 模式二：首帧图生视频 —— 用 first_frame 严格指定视频第一帧
first_frame_body = {
    "model": "wan3.0-video",
    "input": {
        "prompt": "镜头缓缓推进，人物转身微笑，背景光线由冷转暖。",
        "media": [
            {"type": "first_frame", "url": "https://example.com/first.png"}
        ],
    },
    "parameters": {"resolution": "1080P", "ratio": "adaptive", "duration": 5},
}

# 模式三：首尾帧图生视频 —— 同时约束首帧与尾帧
first_last_frame_body = {
    "model": "wan3.0-video",
    "input": {
        "prompt": "一个年轻女孩从微笑逐渐变为大笑，镜头缓缓推进。",
        "media": [
            {"type": "first_frame", "url": "https://example.com/first.png"},
            {"type": "last_frame", "url": "https://example.com/last.jpg"},
        ],
    },
    "parameters": {"resolution": "1080P", "ratio": "adaptive", "duration": 5},
}

# 模式四：全能参考生视频 —— 参考图/参考视频/参考音频自由组合，
# prompt 中可用「图1」「视频1」按 media 数组顺序指代（图与视频分别计数）
reference_body = {
    "model": "wan3.0-video",
    "input": {
        "prompt": "视频1抱着图1，在图2的椅子上弹奏一支舒缓的乡村民谣。",
        "media": [
            {"type": "reference_video", "url": "https://example.com/role.mp4"},
            {"type": "reference_image", "url": "https://example.com/object1.png"},
            {"type": "reference_image", "url": "https://example.com/chair2.png"},
            # {"type": "reference_audio", "url": "https://example.com/voice.mp3"},
        ],
    },
    "parameters": {"resolution": "480P", "ratio": "adaptive", "duration": 5, "prompt_extend": True},
}

const BASE = "https://api.looprouter.com";
const KEY = process.env.LOOPROUTER_API_KEY;

async function main() {
  // 创建任务
  const createRes = await fetch(
    `${BASE}/api/v1/services/aigc/video-generation/video-synthesis`,
    {
      method: "POST",
      headers: {
        "Content-Type": "application/json",
        "X-DashScope-Async": "enabled",
        Authorization: `Bearer ${KEY}`,
      },
      body: JSON.stringify({
        model: "wan3.0-video",
        input: {
          prompt: "一只小猫在月光下的屋顶上奔跑，城市的霓虹灯在远处闪烁。",
        },
        parameters: { resolution: "1080P", ratio: "adaptive", duration: 5 },
      }),
    }
  );
  const taskId = (await createRes.json()).output.task_id;
  console.log("任务已创建:", taskId);

  // 轮询
  for (;;) {
    await new Promise((r) => setTimeout(r, 15000));
    const task = await (
      await fetch(`${BASE}/api/v1/tasks/${taskId}`, {
        headers: { Authorization: `Bearer ${KEY}` },
      })
    ).json();
    const status = task.output.task_status;
    console.log("当前状态:", status);
    if (["SUCCEEDED", "FAILED", "CANCELED", "UNKNOWN"].includes(status)) {
      if (status === "SUCCEEDED") console.log("视频地址:", task.output.video_url);
      else console.error("任务未成功:", task.output.message);
      break;
    }
  }
}

main();

curl -X GET "https://api.looprouter.com/api/v1/tasks/{task_id}" \
  -H "Authorization: Bearer $LOOPROUTER_API_KEY"