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Hf Video

  • 4 installs
  • 15 repo stars
  • Updated July 5, 2026
  • xuanbingbingo/hf-video-kit

Automated talking-head video production line turning a script into a finished video with TTS or real voice, auto scene routing, and word-by-word subtitles.

About

An automated video production pipeline that turns a script into a finished narrated video with voiceover, auto-selected scenes, and word-level subtitles. A developer uses it to convert copy into vertical or horizontal videos.

  • TTS or real-voice narration with character-level timeline alignment
  • Auto scene routing (charts/code/flowcharts) and per-word subtitle highlighting

Hf Video by the numbers

  • 4 all-time installs (skills.sh)
  • Ranked #1,139 of 1,335 Generative Media skills by installs in the Skillselion catalog
  • Data as of Jul 27, 2026 (Skillselion catalog sync)
npx skills add https://github.com/xuanbingbingo/hf-video-kit --skill hf-video

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Listed on Skillselion
Installs4
repo stars15
Last updatedJuly 5, 2026
Repositoryxuanbingbingo/hf-video-kit

What it does

Automated talking-head video production line turning a script into a finished video with TTS or real voice, auto scene routing, and word-by-word subtitles.

Files

SKILL.mdMarkdownGitHub ↗

hf-video — 口播视频自动生产线

第一步(必做)

读取 ~/hf-video-kit/CLAUDE.md —— 那是本工作流的完整规则书(模式判定表、双模式流程、 场景判定表、视觉规范、硬规则、锚点工法、降级策略),本 skill 只是入口,一切以它为准。 先按 CLAUDE.md 顶部「模式判定」选模式:默认模式 A(AI 原生 TTS); 用户说"用我的声音/真人版"或给了真人口播录像 → 模式 B(真人原声,工具在 tools/real/)。

~/hf-video-kit/ 不存在,告知用户先 git clone https://github.com/xuanbingbingo/hf-video-kit.git 并运行 install.sh(Windows: install.ps1)。 若 ~/hf-video-kit/tools/.venv 不存在,先装环境:macOS 按 SETUP.md,Windows 10/11 按 SETUP-WINDOWS.md

执行摘要(细节以 CLAUDE.md 为准)

1. 数据核实:文案涉及行业数字先联网核实标 SOURCE,查不到标 DEMO 2. 文案:口语化;扫多音字(行/重/长/还/得 等) 3. 配音+字级时间轴~/hf-video-kit/tools/.venv/bin/python ~/hf-video-kit/tools/gen_voice_timed.py script.md assets/voice.wav assets/transcript_chars.json 沉稳解说 4. 场景路由:新 episode 建在 ~/hf-video-kit/episodes/episode-NN/; 拷贝 ~/hf-video-kit/tools/project-scaffold/ 为其 hf-project/,按判定表逐段加场景 5. 锚点:场景边界=句子 start,段内元素卡关键词出口瞬间;改一字=全片锚点语义重算 6. 渲染:validate → snapshot 抽帧自检 → npx --yes hyperframes@0.6.84 render必须 open(Win: start)打开

硬规则速记(违反不许出片)

必须有配音(含 demo)/字幕零标点/多音字先扫/数据真实标来源/渲染前抽帧自检渲染后打开

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