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Agent Skill · 开发

comfyui-voice-pipeline(comfyui 语音管道)

用于辅助音频、音乐、语音转写、语音合成或声音素材处理。它适合让 Agent 生成配乐说明、整理音频流程、调用语音工具或处理播客和视频配音素材。使用时需要确认输入音频来源、输出格式、时长和模型限制;涉及人声克隆、版权音乐或公开发布时,应先核对授权和合规边界。

comfyui-voice-pipeline 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 12,475。

总安装 1,270周安装 54GitHub Stars 50下载 445核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:comfyui-voice-pipeline(comfyui 语音管道)
来源仓库:https://github.com/mckruz/comfyui-expert
仓库路径:skills/comfyui-voice-pipeline
安装命令:
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-voice-pipeline
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-voice-pipeline

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

comfyui-voice-pipeline 用于音频、音乐、语音转写和语音合成处理。支持配乐说明生成、音频流程整理和播客配音素材处理。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。使用时需确认输入音频来源、输出格式和模型限制;涉及人声克隆或版权音乐时应核对授权边界。

适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/comfyui-voice-pipeline

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-voice-pi…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

comfyui-voice-pipeline 怎么安装?

在终端执行 npx skills add https://github.com/mckruz/comfyui-expert --skill comfyui-voice-pipeline。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

comfyui-voice-pipeline 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

comfyui-voice-pipeline 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

comfyui-voice-pipeline 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

comfyui-voice-pipeline 用的人多吗?

公开数据是累计安装 1,270 次,近一周安装 54 次,下载 445 次,GitHub 50 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

comfyui-voice-pipeline 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
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6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

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3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
comfyui-voice-pipeline

comfyui 语音管道 · 本页

1,27050需要联网未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

ComfyUI Voice Pipeline

Creates character voices through TTS/voice cloning and synchronizes them with generated video.

Voice Generation Decision Tree

VOICE REQUEST
    |
    |-- Have reference audio of target voice?
    |   |-- Yes (5+ seconds) → Chatterbox (MIT, paralinguistic tags)
    |   |-- Yes (10-15 seconds) → F5-TTS (fastest zero-shot)
    |   |-- Yes (10+ minutes) → RVC training (highest fidelity)
    |   |-- Yes (any length, budget) → ElevenLabs (production quality)
    |
    |-- No reference audio?
    |   |-- Need emotion control → IndexTTS-2 (8-emotion vectors)
    |   |-- Need multi-language → TTS Audio Suite (23 languages)
    |   |-- Need voice design → ElevenLabs Voice Design (describe voice)
    |   |-- Quick prototype → Any TTS with default voice
    |
    |-- Need multi-speaker dialog?
    |   |-- Chatterbox (4 voices) or TTS Audio Suite (character switching)
    |
    |-- Need lip-sync?
    |   |-- Best accuracy → Wav2Lip + CodeFormer
    |   |-- Need head movement → SadTalker
    |   |-- Full expression control → LivePortrait
    |   |-- Unlimited length → InfiniteTalk

Tool Reference

Chatterbox (Recommended Open-Source)

Strengths: MIT license, beats ElevenLabs 63.8% in blind tests, 5-second sample, emotion control, sub-200ms latency.

Paralinguistic tags:

[laugh] [chuckle] [sigh] [gasp] [cough] [clear throat]
[whisper] [excited] [sad] [angry] [surprised]

Key parameter: exaggeration (0.25-2.0) controls expressiveness.

Limit: 40-second generation cap. Split longer content.

F5-TTS

Strengths: Fastest zero-shot cloning, <15 second samples, MIT license, multi-language.

Requirements: Reference audio must be paired with .wav + .txt (matching transcription).

Languages: English, German, Spanish, French, Japanese, Hindi, Thai, Portuguese.

TTS Audio Suite

Strengths: Unified multi-engine platform, 23 languages, character switching.

Special features:

  • Character switching: [CharacterName] tags
  • Language switching: [de:Alice], [fr:Bob]
  • Pause control: [pause:1s]
  • SRT timing sync

Integrates: F5-TTS, Chatterbox, Higgs Audio 2, VibeVoice, IndexTTS-2, RVC.

IndexTTS-2

Strengths: 8-emotion vector control with per-segment parameters.

Emotions: happy, angry, sad, surprised, afraid, disgusted, calm, melancholic.

RVC (Voice Conversion)

Use case: Train a model on target voice (10+ min audio), then convert any TTS output.

Pipeline: Text → Any TTS → Base Audio → RVC Model → Character Voice

Training: 300-500 epochs, RMVPE feature extraction.

ElevenLabs (Commercial)

Tiers:

  • Instant Clone: 1-minute sample, good quality
  • Professional Clone: 30+ minutes (3h ideal), near-indistinguishable
  • Voice Design: Describe voice in text (no sample needed)

Voice Profile Setup

For each character, establish a voice profile in projects/{project}/characters/{name}/profile.yaml:

voice:
  cloned: true
  model: "chatterbox"
  sample_file: "references/voice_sample.wav"
  settings:
    exaggeration: 1.2
    default_emotion: "neutral"
  notes: "Warm, confident tone. Slight Italian-American undertones."

Script Preparation

Text Formatting for TTS

  1. Punctuation matters: Commas create pauses, periods create stops
  2. Phonetic hints: Spell unusual words phonetically if mispronounced
  3. Emotion cues: Use Chatterbox tags or split by emotion for IndexTTS-2
  4. Length: Split into 30-40 second segments for Chatterbox limit

Multi-Speaker Script

[Sage] Hello! *laughs* I've been looking forward to this.
[pause:0.5s]
[Alex] [excited] Same here! Let's dive right in.
[Sage] [whisper] But first, I need to tell you something...

Audio Post-Processing

Requirements for Lip-Sync Input

  • Sample rate: 16-24kHz (model dependent)
  • Format: WAV (uncompressed)
  • Mono channel
  • Trim leading silence
  • Add 0.2s trailing silence
  • Normalize to -3dB peak

FFmpeg Processing

# Convert to mono 24kHz WAV, normalized
ffmpeg -i input.wav -ac 1 -ar 24000 -af "loudnorm=I=-16:TP=-3" output.wav

# Trim silence from start/end
ffmpeg -i input.wav -af "silenceremove=start_periods=1:start_threshold=-50dB,areverse,silenceremove=start_periods=1:start_threshold=-50dB,areverse" trimmed.wav

# Concatenate segments
ffmpeg -f concat -safe 0 -i filelist.txt -c copy combined.wav

Lip-Sync Methods

Wav2Lip (Best Accuracy)

Settings:

wav2lip_model: "wav2lip_gan.pth"  # Better than wav2lip.pth
face_detect_batch: 16
nosmooth: false
pad_bottom: 10

MUST post-process: CodeFormer (fidelity 0.7) after Wav2Lip output.

SadTalker (Head Movement)

Settings:

preprocess: "full"     # Better for novel faces
enhancer: "gfpgan"
pose_style: 10-20      # Natural conversation range

LivePortrait (Expression Control)

Settings:

lip_zero: 0.03         # Reduces unnatural lip movement
stitching: true        # Seamless face blending

Best for: Premium avatar creation, expression transfer from driving video.

LatentSync 1.6 (Newest, Highest Quality)

ByteDance model trained at 512x512 with TREPA modules for temporal consistency.

InfiniteTalk (Unlimited Length)

For videos longer than standard lip-sync limits. Integrates with Wan for joint generation.

Complete Talking Head Workflow

Pipeline A: Quick (Image → Talk)

1. [Text] → Chatterbox/F5-TTS → audio.wav
2. [Character Image] + audio.wav → SadTalker → video.mp4
3. video.mp4 → GFPGAN/CodeFormer → final.mp4

Time: ~2 minutes. Quality: Good.

Pipeline B: Quality (Image → Video → Lip-Sync)

1. [Text] → Chatterbox → audio.wav
2. [Character Image] → Wan I2V → base_video.mp4
   Prompt: "person talking, slight head movement, indoor"
3. base_video.mp4 + audio.wav → Wav2Lip → lipsync.mp4
4. lipsync.mp4 → FaceDetailer batch → enhanced.mp4
5. enhanced.mp4 → Color correct + Deflicker → final.mp4

Time: ~10 minutes. Quality: Production.

Pipeline C: Premium (Expression Transfer)

1. Record driving video (actor performing lines)
2. [Text] → Voice Clone TTS → audio.wav
3. [Character Image] + driving.mp4 → LivePortrait → expression_video.mp4
4. expression_video.mp4 + audio.wav → Wav2Lip → lipsync.mp4
5. lipsync.mp4 → CodeFormer → final.mp4

Time: ~15 minutes. Quality: Premium.

Troubleshooting

IssueSolution
Audio out of syncOffset with ffmpeg: ffmpeg -itsoffset 0.1 -i audio.wav...
Subtle mouth movementsUse wav2lip_gan.pth, increase audio volume
Face artifactsPost-process with CodeFormer (fidelity 0.6-0.8)
Robotic voice cloneUse longer/cleaner reference, increase exaggeration
Unnatural head movementLower SadTalker pose_style to 0-10

Reference

  • references/voice-synthesis.md - Full voice tool documentation
  • references/models.md - Voice model download links
  • Character voice profiles in projects/{project}/characters/

平台分布

Codex

41.02%
按下载量换算183

Claude

28.4%
按下载量换算126

Cursor

19.52%
按下载量换算87

Gemini CLI

8.94%
按下载量换算40

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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