aliyun-video-style-repaint

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Use when transforming video style with DashScope video-style-transform model. Use when converting videos to artistic styles such as Japanese manga, American comics, 3D cartoon, Chinese ink painting, paper art, or simple illustration via the video-synthesis async API.

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Sourcecinience/alicloud-skills

Added on2026-04-05

NPX Install

npx skill4agent add cinience/alicloud-skills aliyun-video-style-repaint

SKILL.md Content

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Video Style Repaint

Validation

bash

mkdir -p output/aliyun-video-style-repaint
python -m py_compile skills/ai/video/aliyun-video-style-repaint/scripts/repaint_video.py && echo "py_compile_ok" > output/aliyun-video-style-repaint/validate.txt

Pass criteria: command exits 0 and

output/aliyun-video-style-repaint/validate.txt

is generated.

Output And Evidence

Save task IDs, polling responses, and final video URLs to
```
output/aliyun-video-style-repaint/
```
.
Keep at least one end-to-end run log for troubleshooting.

Prerequisites

Install SDK (recommended in a venv):

bash

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

.

This API is only available in the Beijing region. You must use a Beijing-region API Key.

Critical model names

```
video-style-transform
```
-- supports 8 preset artistic styles

Supported styles

Style ID	Name (EN)	Name (CN)
0	Japanese Manga	日式漫画
1	American Comics	美式漫画
2	Fresh Comics	清新漫画
3	3D Cartoon	3D 卡通
4	Chinese Cartoon	国风卡通
5	Paper Art	纸艺风格
6	Simple Illustration	简易插画
7	Chinese Ink Painting	国风水墨

API endpoint (async only)

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

Required headers:

Authorization: Bearer $DASHSCOPE_API_KEY

```
Content-Type: application/json
```
```
X-DashScope-Async: enable
```

Normalized interface

Request

```
video_url
```
(string, required) -- public HTTP/HTTPS URL of the input video
```
style
```
(integer, optional) -- style ID 0-7 (default: 0, Japanese Manga)
```
video_fps
```
(integer, optional) -- output frame rate, range [15, 25] (default: 15)
```
animate_emotion
```
(boolean, optional) -- facial expression optimization (default: true)
```
min_len
```
(integer, optional) -- output short-side pixels, 720 or 540 (default: 720)
```
use_SR
```
(boolean, optional) -- super-resolution enhancement (default: false)

Video input limits

Formats: MP4, AVI, MKV, MOV, FLV, TS, MPG, MXF
Resolution: [256, 4096] pixels per side, aspect ratio max 1.8:1
Duration: up to 30 seconds
Max size: 100MB
URL: must be URL-encoded if contains non-ASCII characters

Response (task creation)

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

Response (task result)

```
output.output_video_url
```
(string) -- result video URL
```
output.task_status
```
(string) -- final status
```
output.submit_time
```
(string) -- task submission time
```
output.scheduled_time
```
(string) -- task execution start time
```
output.end_time
```
(string) -- task completion time
```
usage.duration
```
(integer) -- video duration in seconds
```
usage.SR
```
(integer) -- resolution used

Quick start (Python + HTTP)

python

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_style_repaint_task(video_url: str, style: int = 0) -> str:
    """Create a video style repaint task and return task_id."""
    payload = {
        "model": "video-style-transform",
        "input": {
            "video_url": video_url,
        },
        "parameters": {
            "style": style,
            "video_fps": 15,
        },
    }
    resp = requests.post(
        f"{BASE_URL}/services/aigc/video-generation/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", "SUSPENDED"):
            return data
        time.sleep(interval)

Error handling

Error	Likely cause	Action
401/403	Missing or invalid `DASHSCOPE_API_KEY`	Check env var or credentials file
400 `InvalidParameter`	Unsupported video format, bad dimensions, invalid style	Validate parameters
"does not support synchronous calls"	Missing `X-DashScope-Async: enable` header	Add required header
429	Rate limit or quota	Retry with backoff

Output location

Default output:

output/aliyun-video-style-repaint/videos/

Override base dir with
```
OUTPUT_DIR
```
.

Anti-patterns

Do not use model names other than
```
video-style-transform
```
.
Do not call this API synchronously -- async header is required.
Do not use style IDs outside 0-7 range.
Video URLs expire after 24 hours; download and persist immediately.
Do not use Singapore endpoint -- this API is Beijing-region only.

Workflow

Confirm user intent: select desired artistic style from the 8 presets.
Prepare video URL with valid format and dimensions.
Configure parameters (style, fps, resolution, super-resolution).
Create async task and poll for results.
Download and save transformed video before URL expiration.

References

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