manga-style-video

freestylefly/canghe-skills · updated Apr 8, 2026

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$npx skills add https://github.com/freestylefly/canghe-skills --skill manga-style-video
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summary

专门用于生成漫画/动画风格的视频,内置多种风格模板,无需复杂的提示词工程。

skill.md

漫画风格视频生成器

专门用于生成漫画/动画风格的视频,内置多种风格模板,无需复杂的提示词工程。

核心特点

  • 🎨 8种漫画风格 - 日式、国风、美式等预设风格
  • 🖼️ 图生视频 - 基于参考图片保持角色一致性
  • 优化提示词 - 内置专业漫画风格描述词
  • 🎬 一键生成 - 简单命令快速生成

支持的漫画风格

风格代码 名称 特点
japanese 日式治愈系 吉卜力风格、手绘水彩、温馨治愈
ghibli 吉卜力风格 Studio Ghibli、宫崎骏动画风格
chinese 国风水墨 中国传统水墨、淡雅诗意、工笔线条
cartoon 美式卡通 迪士尼皮克斯、3D卡通、色彩鲜艳
sketch 铅笔素描 手绘线条、黑白灰、艺术感
watercolor 水彩手绘 透明质感、色彩晕染、艺术插画
manga_comic 日式漫画 黑白网点、速度线、动态构图
chibi Q版萌系 大头比例、可爱萌系、圆润线条

前置要求

需要设置 ARK_API_KEY 环境变量。

配置方式(推荐)

  1. 复制配置模板:
cp .canghe-skills/.env.example .canghe-skills/.env
  1. 编辑 .canghe-skills/.env 文件,填写你的 API Key:
ARK_API_KEY=your-actual-api-key-here

或使用环境变量

export ARK_API_KEY="your-api-key"

加载优先级

  1. 系统环境变量 (process.env)
  2. 当前目录 .canghe-skills/.env
  3. 用户主目录 ~/.canghe-skills/.env

使用方法

1. 基础使用

生成日式治愈风格视频:

cd ~/.openclaw/workspace/skills/manga-style-video
python3 scripts/manga_style_video.py "女孩在樱花树下读书"

2. 指定风格

# 国风水墨风格
python3 scripts/manga_style_video.py "山水意境" --style chinese

# 美式卡通风格
python3 scripts/manga_style_video.py "可爱小动物" --style cartoon

# 吉卜力风格
python3 scripts/manga_style_video.py "乡村风景" --style ghibli

3. 基于参考图片

# 使用角色图片作为参考
python3 scripts/manga_style_video.py "奶奶在包饺子" \
  --style japanese \
  --image ~/Desktop/character.png

4. 完整参数

python3 scripts/manga_style_video.py "春节团圆场景" \
  --style japanese \
  --image character.png \
  --duration 10 \
  --ratio 9:16 \
  --resolution 1080p \
  --output ~/Desktop/my_video.mp4

参数说明

参数 必需 默认值 说明
prompt - 视频内容描述
--style japanese 漫画风格
--image - 参考图片路径
--duration 10 时长(秒)
--ratio 9:16 比例(16:9/9:16/1:1/4:3)
--resolution 1080p 分辨率
--output - 输出路径
--no-wait false 不等待完成

使用示例

示例1:生成日式治愈风格

python3 scripts/manga_style_video.py \
  "白发奶奶在厨房忙碌,窗外阳光洒进来" \
  --style japanese \
  --duration 8

示例2:国风水墨风格

python3 scripts/manga_style_video.py \
  "古代女子在荷塘边弹琴,荷花盛开" \
  --style chinese \
  --ratio 16:9

示例3:基于角色生成漫剧

# 分镜1:角色登场
python3 scripts/manga_style_video.py \
  "双马尾女孩站在校门口微笑" \
  --style chibi \
  --image girl.png \
  --output scene1.mp4

# 分镜2:动作场景
python3 scripts/manga_style_video.py \
  "女孩在教室认真读书" \
  --style chibi \
  --image girl.png \
  --output scene2.mp4

示例4:生成Q版萌系视频

python3 scripts/manga_style_video.py \
  "小猫咪在草地上打滚,超级可爱" \
  --style chibi \
  --duration 5

查看所有风格

python3 scripts/manga_style_video.py --list-styles

输出:

🎨 可用的漫画风格:
  japanese     - 日式治愈系
  ghibli       - 吉卜力风格
  chinese      - 国风水墨
  cartoon      - 美式卡通
  sketch       - 铅笔素描
  watercolor   - 水彩手绘
  manga_comic  - 日式漫画
  chibi        - Q版萌系

风格提示词示例

日式治愈系 (japanese)

日式动画风格,吉卜力工作室风格,手绘水彩质感,柔和粉彩色调,
线条简洁流畅,温馨治愈,细腻的背景描绘,宫崎骏风格

国风水墨 (chinese)

中国传统水墨画风格,国风动画,淡雅色调,山水意境,
工笔线条,古风手绘,诗意唯美

Q版萌系 (chibi)

Q版大头比例,萌系可爱风格,圆润线条,明亮色彩,
卡通渲染,治愈系表情

技术细节

调用接口

  • API: POST /api/v3/contents/generations/tasks
  • 模型: doubao-seedance-1-5-pro-251215(默认)
  • 图生视频: 支持 base64 图片上传

生成流程

1. 选择漫画风格 → 获取对应提示词模板
2. 组合用户描述 + 风格提示词
3. 调用 Seedance API 生成视频
4. 等待生成完成 → 下载视频

输出文件

默认保存到 ~/Desktop/,文件名格式:

manga_{风格}_{时间戳}.mp4

注意事项

  1. 参考图片 - 清晰的角色图片能获得更好的风格化效果
  2. 提示词 - 描述场景和动作即可,风格由 --style 参数控制
  3. 生成时间 - 每个视频约30-60秒
  4. 文件大小 - 1080p视频较大,建议搭配 --duration 控制时长

对比:普通视频 vs 漫画风格视频

普通提示词 漫画风格提示词(本技能自动生成)
"女孩在樱花树下" "女孩在樱花树下,日式动画风格,吉卜力工作室风格,手绘水彩质感,柔和粉彩色调,线条简洁流畅,温馨治愈"

进阶技巧

批量生成漫剧分镜

# 创建脚本
for i in 1 2 3; do
  python3 scripts/manga_style_video.py \
    "分镜$i的场景描述" \
    --style japanese \
    --image character.png \
    --output scene_$i.mp4 &
done
wait

自定义风格组合

如果想要特定的混合风格,可以直接使用 seedance-video-generation 技能,手动编写提示词。

参考文档

how to use manga-style-video

How to use manga-style-video on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add manga-style-video
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/freestylefly/canghe-skills --skill manga-style-video

The skills CLI fetches manga-style-video from GitHub repository freestylefly/canghe-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/manga-style-video

Reload or restart Cursor to activate manga-style-video. Access the skill through slash commands (e.g., /manga-style-video) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.674 reviews
  • Anaya Mensah· Dec 28, 2024

    I recommend manga-style-video for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Sakura Martinez· Dec 20, 2024

    manga-style-video is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Maya Nasser· Dec 16, 2024

    We added manga-style-video from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Henry Li· Dec 16, 2024

    manga-style-video fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Charlotte Sharma· Dec 12, 2024

    Useful defaults in manga-style-video — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ava Verma· Dec 12, 2024

    manga-style-video reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Dhruvi Jain· Dec 4, 2024

    manga-style-video fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Oshnikdeep· Nov 23, 2024

    manga-style-video is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Hiroshi Haddad· Nov 19, 2024

    Solid pick for teams standardizing on skills: manga-style-video is focused, and the summary matches what you get after install.

  • Ava Tandon· Nov 11, 2024

    Registry listing for manga-style-video matched our evaluation — installs cleanly and behaves as described in the markdown.

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