Wan 2.7 Video Generation API

export BASE_URL="https://api.laozhang.ai"
export API_KEY="YOUR_API_KEY"

curl -X POST "$BASE_URL/wan/api/v1/services/aigc/video-generation/video-synthesis" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-DashScope-Async: enable" \
  --data-raw '{
    "model": "wan2.7-t2v",
    "input": {
      "prompt": "A lighthouse at sunset, slow cinematic push-in, ocean waves hitting rocks, seabirds in the distance"
    },
    "parameters": {
      "resolution": "720P",
      "duration": 5,
      "prompt_extend": true,
      "watermark": true
    }
  }'

curl -X POST "$BASE_URL/wan/api/v1/services/aigc/video-generation/video-synthesis" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-DashScope-Async: enable" \
  --data-raw '{
    "model": "wan2.7-i2v",
    "input": {
      "prompt": "A graffiti character comes alive and performs energetic rap under a railway bridge at night",
      "media": [
        {
          "type": "first_frame",
          "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/wpimhv/rap.png"
        },
        {
          "type": "driving_audio",
          "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/ozwpvi/rap.mp3"
        }
      ]
    },
    "parameters": {
      "resolution": "720P",
      "duration": 10,
      "prompt_extend": true,
      "watermark": true
    }
  }'

curl -X POST "$BASE_URL/wan/api/v1/services/aigc/video-generation/video-synthesis" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-DashScope-Async: enable" \
  --data-raw '{
    "model": "wan2.7-r2v",
    "input": {
      "prompt": "A girl wearing the referenced dress walks slowly through a sunset garden with cinematic lighting",
      "media": [
        {
          "type": "reference_image",
          "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260402/fwjpqf/wan2.7-videoedit-change-clothes.png"
        }
      ]
    },
    "parameters": {
      "resolution": "720P",
      "duration": 5,
      "prompt_extend": true,
      "watermark": true
    }
  }'

curl -X POST "$BASE_URL/wan/api/v1/services/aigc/video-generation/video-synthesis" \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-DashScope-Async: enable" \
  --data-raw '{
    "model": "wan2.7-videoedit",
    "input": {
      "prompt": "Replace the girl's outfit in the video with the outfit shown in the reference image",
      "media": [
        {
          "type": "video",
          "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260403/nlspwm/T2VA_22.mp4"
        },
        {
          "type": "reference_image",
          "url": "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20260402/fwjpqf/wan2.7-videoedit-change-clothes.png"
        }
      ]
    },
    "parameters": {
      "resolution": "720P",
      "prompt_extend": true,
      "watermark": true
    }
  }'

curl "$BASE_URL/v1/tasks/$TASK_ID" \
  -H "Authorization: Bearer $API_KEY"

{
  "id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "task_id": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx",
  "object": "task",
  "platform": "wan",
  "action": "text_to_video",
  "task_type": "text_to_video",
  "status": "completed",
  "progress": "100%",
  "result_url": "https://dashscope-xxx.oss-accelerate.aliyuncs.com/...",
  "result": {
    "data": {
      "model": "wan2.7-t2v",
      "parameters": {
        "resolution": "720P",
        "duration": 5,
        "prompt_extend": true,
        "watermark": true
      }
    }
  }
}

curl -L -o wan-output.mp4 "$RESULT_URL"

import json
import time
import urllib.request
from urllib.error import HTTPError

BASE_URL = "https://api.laozhang.ai"
API_KEY = "YOUR_API_KEY"


def request(method, path, body=None, extra_headers=None):
    headers = {"Authorization": f"Bearer {API_KEY}"}
    if extra_headers:
        headers.update(extra_headers)
    data = None
    if body is not None:
        headers["Content-Type"] = "application/json"
        data = json.dumps(body).encode("utf-8")
    req = urllib.request.Request(BASE_URL + path, data=data, method=method, headers=headers)
    try:
        with urllib.request.urlopen(req, timeout=60) as resp:
            return json.loads(resp.read().decode("utf-8"))
    except HTTPError as exc:
        error_body = exc.read().decode("utf-8", errors="replace")
        raise RuntimeError(f"HTTP {exc.code}: {error_body}") from exc


created = request(
    "POST",
    "/wan/api/v1/services/aigc/video-generation/video-synthesis",
    {
        "model": "wan2.7-t2v",
        "input": {"prompt": "A lighthouse at sunset, cinematic light, slow push-in"},
        "parameters": {"resolution": "720P", "duration": 5, "prompt_extend": True},
    },
    {"X-DashScope-Async": "enable"},
)

task_id = created["output"]["task_id"]

while True:
    task = request("GET", f"/v1/tasks/{task_id}")
    if task["status"] == "completed":
        # result_url is a signed download URL. Do not attach Authorization.
        urllib.request.urlretrieve(task["result_url"], "wan-output.mp4")
        break
    if task["status"] == "failed":
        raise RuntimeError(task.get("error") or task.get("fail_reason"))
    time.sleep(10)