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Aliyun Wan Animate Move

  • 49 installs
  • 396 repo stars
  • Updated July 18, 2026
  • cinience/alicloud-skills

Provides aliyun-wan-animate-move capabilities for Claude Code workflows.

About

aliyun-wan-animate-move enables Provides aliyun-wan-animate-move capabilities for Claude Code workflows.. Use it to automate and enhance your development workflow with AI-powered capabilities.

  • Enhances Claude Code
  • Production-ready

Aliyun Wan Animate Move by the numbers

  • 49 all-time installs (skills.sh)
  • Ranked #1,313 of 2,245 Frontend Development skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
npx skills add https://github.com/cinience/alicloud-skills --skill aliyun-wan-animate-move

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Listed on Skillselion
Installs49
repo stars396
Last updatedJuly 18, 2026
Repositorycinience/alicloud-skills

What it does

Provides aliyun-wan-animate-move capabilities for Claude Code workflows.

Files

SKILL.mdMarkdownGitHub ↗

Wan 2.2 Animate Move (Image-to-Motion)

Validation

mkdir -p output/aliyun-wan-animate-move
python -m py_compile skills/ai/video/aliyun-wan-animate-move/scripts/generate_animate_move.py && echo "py_compile_ok" > output/aliyun-wan-animate-move/validate.txt

Pass criteria: command exits 0 and output/aliyun-wan-animate-move/validate.txt is generated.

Output And Evidence

  • Save task IDs, polling responses, and final video URLs to output/aliyun-wan-animate-move/.
  • Keep at least one end-to-end run log for troubleshooting.

Prerequisites

  • Install SDK (recommended in a venv):
python3 -m venv .venv
. .venv/bin/activate
python -m pip install requests
  • Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.

Critical model names

  • wan2.2-animate-move -- supports motion transfer from reference video to character image

Capabilities

CapabilityDescriptionRequired inputs
Motion transferTransfer actions/expressions from reference video to character imageimage_url + video_url

Service modes

ModeDescription
wan-stdStandard mode, faster generation, cost-effective, suitable for preview and basic animation
wan-proProfessional mode, smoother animation, better quality, longer processing time

API endpoint (async only)

POST https://dashscope.aliyuncs.com/api/v1/services/aigc/image2video/video-synthesis

Required headers:

  • Authorization: Bearer $DASHSCOPE_API_KEY
  • Content-Type: application/json
  • X-DashScope-Async: enable

Singapore endpoint: replace dashscope.aliyuncs.com with dashscope-intl.aliyuncs.com.

Normalized interface

Request

  • image_url (string, required) -- public HTTP/HTTPS URL of the character image
  • video_url (string, required) -- public HTTP/HTTPS URL of the reference motion video
  • watermark (boolean, optional) -- add watermark (default: false)
  • mode (string, required) -- wan-std or wan-pro
  • check_image (boolean, optional) -- whether to perform image detection (default: true)

Image input limits

  • Formats: JPG, JPEG, PNG, BMP, WEBP
  • Resolution: [200, 4096] pixels per side
  • Aspect ratio: 1:3 to 3:1
  • Max size: 5MB
  • Content: single person, facing camera, face fully visible, moderate proportion in frame

Video input limits

  • Formats: MP4, AVI, MOV
  • Duration: 2-30s
  • Resolution: [200, 2048] pixels per side
  • Aspect ratio: 1:3 to 3:1
  • Max size: 200MB
  • Content: single person, facing camera, face fully visible, moderate proportion in frame

Response (task creation)

  • output.task_id (string) -- use for polling, valid 24 hours
  • output.task_status (string) -- PENDING | RUNNING | SUCCEEDED | FAILED | CANCELED | UNKNOWN
  • request_id (string)

Response (task result)

  • output.video_url (string) -- generated video URL
  • usage.video_count (integer)
  • usage.video_duration (integer) -- duration in seconds

Quick start (Python + HTTP)

import os
import json
import time
import requests

API_KEY = os.getenv("DASHSCOPE_API_KEY")
BASE_URL = "https://dashscope.aliyuncs.com/api/v1"

def create_animate_move_task(image_url: str, video_url: str, mode: str = "wan-std") -> str:
    """Create an animate-move task and return task_id."""
    payload = {
        "model": "wan2.2-animate-move",
        "input": {
            "image_url": image_url,
            "video_url": video_url,
            "watermark": False,
        },
        "parameters": {
            "mode": mode,
        },
    }
    resp = requests.post(
        f"{BASE_URL}/services/aigc/image2video/video-synthesis",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json",
            "X-DashScope-Async": "enable",
        },
        json=payload,
    )
    resp.raise_for_status()
    data = resp.json()
    return data["output"]["task_id"]


def poll_task(task_id: str, interval: int = 15) -> dict:
    """Poll until task completes. Returns final response."""
    while True:
        resp = requests.get(
            f"{BASE_URL}/tasks/{task_id}",
            headers={"Authorization": f"Bearer {API_KEY}"},
        )
        resp.raise_for_status()
        data = resp.json()
        status = data["output"]["task_status"]
        if status in ("SUCCEEDED", "FAILED", "CANCELED"):
            return data
        time.sleep(interval)

Error handling

ErrorLikely causeAction
401/403Missing or invalid DASHSCOPE_API_KEYCheck env var or credentials file
400 InvalidParameterUnsupported image/video format, bad dimensions, missing fieldsValidate parameters
"does not support synchronous calls"Missing X-DashScope-Async: enable headerAdd required header
429Rate limit or quotaRetry with backoff

Output location

  • Default output: output/aliyun-wan-animate-move/videos/
  • Override base dir with OUTPUT_DIR.

Anti-patterns

  • Do not use model names other than wan2.2-animate-move.
  • Do not call this API synchronously -- async header is required.
  • Do not use multiple people in image or video -- single person only.
  • Video URLs expire after 24 hours; download and persist immediately.
  • Do not use images with occluded faces or extreme proportions.

Workflow

1) Confirm user intent: transfer motion from reference video to character image. 2) Select service mode: wan-std (fast/cheap) or wan-pro (high quality). 3) Prepare image URL and video URL with valid formats and dimensions. 4) Create async task and poll for results. 5) Download and save generated video before URL expiration.

References

  • See references/api_reference.md for full HTTP API details.
  • See references/sources.md for source links.

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