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AI Comic-Drama + Short-Video All-in-One Course

📚Video Course
📂Artificial Intelligence (AI)
🕒Last updated: 06/30/2026
👥Entrepreneurs / Self-media creators / Cross-border e-commerce sellers / Side-hustlers
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Description

AI漫剧+短视频全能实战课

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📅 Release Date:
\ June 30, 2026
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📚 Course Type:
\ AI漫剧与短视频创作
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👥 Target Audience:
\ 零基础自媒体小白、AI内容创作者、想做漫剧副业的普通人
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当下AI漫剧、治愈短视频、趣味剧情短片是自媒体超低门槛、高流量、长生命周期的黄金赛道，但绝大多数新手创作处处受限：不会精准定位账号赛道，账号杂乱无特色难以起号；不懂AI工具底层逻辑，只会机械套用提示词，画面质感差、同质化严重；不会剧本创作，做不出完整剧情漫剧内容；生成的图文视频自带AI痕迹，容易限流、无法过审；剪辑能力薄弱，不会制作特色字幕、音画搭配杂乱、成片画质模糊；不会合规去重、不懂版权保护，辛苦制作的作品无法长期复用变现。

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本套AI漫剧+短视频实战课，专为零基础创作小白打造，全程无门槛、纯落地、全实操，打通从账号从零搭建到漫剧成片、合规变现的完整创作链路。课程摒弃空洞理论，从学习心态与实操方法切入，手把手完成账号定位、主页设置、IP人设规划，配套专属短视频口播、小红书文案生成技巧，解决新手内容创作难题。在AI素材创作板块，深度讲解AI工具底层用法，解锁图片制作、提示词反推、主题出图、九宫格创意视频等多元玩法；精通图生视频、首尾帧创作、低成本成片技巧，同时掌握图片、视频双维度去痕去重方法，彻底解决作品同质化、限流问题。

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剪辑部分全覆盖剪映全套实操，从基础界面工具、字幕配音、双语字幕定制，到转场特效、BGM搭配、超清导出，全方位提升成片质感。课程搭配超多真实案例实操，包含治愈萌系、古风诗词、趣味成语、伤感治愈、夜话剧情等多风格成片演练，适配全平台流量喜好。核心主打AI漫剧整套速成体系，从小说剧本撰写、剧本拆解、角色场景设定，到漫剧素材设计、脚本生成、画面过审处理、视频合成、精细剪辑成片，完整复刻专业漫剧制作流程。最后独家讲解作品版权登记方法，全方位保护原创成果，实现长期稳定变现。

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[Account Setup与Tool Basics]
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  • 1.学习流程与方法心态（必看）
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  • 2.帐号的定位
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  • 3.Account的基本设置
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  • 4.豆包的使用方法和底层逻辑
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  • 5.IP方案规划和短视频口播脚本
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  • 6.小红书文案生成
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  • 7.作业批改与辅导
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[AIAssets与去痕技巧]
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  • 8.生活日常应用
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  • 9.图片制作技巧与提示词反推
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  • 10.视频去痕迹的方法
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  • 11.图片去痕迹方法
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  • 12.Image-to-video的方法
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  • 13.首尾帧视频的制作方法
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  • 14.配音神器与音画同步
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  • 15.低成本制作视频的方法
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  • 16.九宫格图片生成视频方法
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  • 17.主题概念生成图片
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[剪映Editing与特效]
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  • 18.剪辑的基本操作流程和界面介绍
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  • 19.剪映基础工具使用
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  • 20.字幕与配音
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  • 21.个性化的字幕的制作方法
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  • 22.双语字幕的制作方法（一）
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  • 23.双语字幕的制作方法（二）
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  • 24.如何配出合适的背景音乐和音效
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  • 25.视频的转场设置方法
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  • 26.视频的导出与超清设置
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[风格化案例实操]
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  • 27.勇敢的小鸭子-图片与视频生成（上）
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  • 28.勇敢的小鸭子-剪辑与配音（下）
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  • 29.小狐狸的彩虹尾巴-图片与视频生成（上）
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  • 30.小狐狸的彩虹尾巴-剪辑与配音（下）
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  • 31.出塞-图片与视频生成（上）
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  • 32.出塞-剪辑与配音（下）
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  • 33.虞美人-图片与视频生成（上）
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  • 34.虞美人-剪辑与配音（下）
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  • 35.小丑夜话
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  • 36.趣味成语
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  • 37.伤感猫咪
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  • 38.治愈简笔画
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  • 39.治愈祝福视频制作方法
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[漫剧速成与版权保护]
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  • 40.漫剧速成（一）小说剧本创作
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  • 41.漫剧速成（二）剧本拆解和角色场景设定
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  • 42.漫剧速成（三）漫剧资产图片设计
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  • 43.漫剧速成（四）漫剧脚本生成
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  • 44.漫剧速成（五）图片过审的处理方法
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  • 45.漫剧速成（六）视频生成
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  • 46.漫剧速成（七）剪辑成片
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  • 47.如何进行版权登记
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💡 Learning Tip:Content reflects industry practices at time of publication. Please refer to the latest platform rules when learning.

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