Aliyun Animate Anyone

Name: Aliyun Animate Anyone
Author: cinience

cinience/alicloud-skills

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

Generates dance or motion-transfer videos with Alibaba Cloud Model Studio AnimateAnyone by cloning motion from an action template onto a character image.

About

Builds AnimateAnyone (animate-anyone-gen2) requests to transfer motion from a dance or action video onto a target character image. A developer uses it to generate motion-transfer or dance videos on Alibaba Cloud Model Studio.

Uses animate-anyone-gen2 with a character image plus action template
Includes py_compile validation and evidence output

Aliyun Animate Anyone by the numbers

54 all-time installs (skills.sh)
Ranked #877 of 1,335 Generative Media 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-animate-anyone

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Installs	54
repo stars	★ 396
Last updated	July 18, 2026
Repository	cinience/alicloud-skills ↗

What it does

Generates dance or motion-transfer videos with Alibaba Cloud Model Studio AnimateAnyone by cloning motion from an action template onto a character image.

Files

SKILL.mdMarkdownGitHub ↗

Category: provider

Model Studio AnimateAnyone

Validation

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

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

Output And Evidence

Save normalized request payloads, detection outputs, template IDs, and task polling snapshots under output/aliyun-animate-anyone/.
Record whether the result should keep the reference image background or the source video background.

Use AnimateAnyone when the task needs motion transfer from a template video rather than plain talking-head animation.

Critical model names

Use these exact model strings:

animate-anyone-detect-gen2
animate-anyone-template-gen2
animate-anyone-gen2

Selection guidance:

Run image detection first.
Run template generation on the source motion video.
Use animate-anyone-gen2 for the final video job.

Prerequisites

China mainland (Beijing) only.
Set DASHSCOPE_API_KEY in your environment, or add dashscope_api_key to ~/.alibabacloud/credentials.
Input files must be public HTTP/HTTPS URLs.

Normalized interface (video.animate_anyone)

Detect Request

model (string, optional): default animate-anyone-detect-gen2
image_url (string, required)

Template Request

model (string, optional): default animate-anyone-template-gen2
video_url (string, required)

Generate Request

model (string, optional): default animate-anyone-gen2
image_url (string, required)
template_id (string, required)
use_ref_img_bg (bool, optional): whether to keep the input image background

Response

task_id (string)
task_status (string)
video_url (string, when finished)

Quick start

python skills/ai/video/aliyun-animate-anyone/scripts/prepare_animate_anyone_request.py \
  --image-url "https://example.com/dancer.png" \
  --template-id "tmpl_xxx" \
  --use-ref-img-bg

Operational guidance

The action template must come from the official template-generation API.
Full-body images work best when use_ref_img_bg=false; half-body images are not recommended in that mode.
This skill is best for dancing or large body motion transfer, not generic talking-head tasks.

Output location

Default output: output/aliyun-animate-anyone/request.json
Override base dir with OUTPUT_DIR.

References

references/sources.md

interface:
  display_name: "Alibaba Cloud AI Video AnimateAnyone"
  short_description: "Dance and motion-transfer video generation"
  default_prompt: "Use $aliyun-animate-anyone to complete this ai/video AnimateAnyone task on Alibaba Cloud."

#!/usr/bin/env python3
"""Prepare normalized requests for AnimateAnyone detect/template/generate flows."""

from __future__ import annotations

import argparse
import json
from pathlib import Path


def main() -> None:
    parser = argparse.ArgumentParser()
    parser.add_argument("--image-url")
    parser.add_argument("--video-url")
    parser.add_argument("--template-id")
    parser.add_argument("--detect-only", action="store_true")
    parser.add_argument("--template-only", action="store_true")
    parser.add_argument("--use-ref-img-bg", action="store_true")
    parser.add_argument("--output", default="output/aliyun-animate-anyone/request.json")
    args = parser.parse_args()

    if args.detect_only:
        if not args.image_url:
            raise SystemExit("--image-url is required for --detect-only")
        payload = {
            "model": "animate-anyone-detect-gen2",
            "input": {"image_url": args.image_url},
        }
    elif args.template_only:
        if not args.video_url:
            raise SystemExit("--video-url is required for --template-only")
        payload = {
            "model": "animate-anyone-template-gen2",
            "input": {"video_url": args.video_url},
        }
    else:
        if not args.image_url or not args.template_id:
            raise SystemExit("--image-url and --template-id are required for generation")
        payload = {
            "model": "animate-anyone-gen2",
            "input": {
                "image_url": args.image_url,
                "template_id": args.template_id,
            },
            "parameters": {
                "use_ref_img_bg": args.use_ref_img_bg,
            },
        }

    output = Path(args.output)
    output.parent.mkdir(parents=True, exist_ok=True)
    output.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8")
    print(json.dumps({"ok": True, "request_path": str(output)}, ensure_ascii=False))


if __name__ == "__main__":
    main()