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talking-head-production说话头制作

Agent Skill

talking-head-production 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 Codex、Claude、Cursor、Gemini CLI 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

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:talking-head-production(说话头制作)
来源仓库:https://github.com/inf-sh/skills
仓库路径:skills/talking-head-production
安装命令:
npx skills add inf-sh/skills --skill "talking-head-production"
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。

AgentSkills.tonpx skills
npx skills add inf-sh/skills --skill "talking-head-production"

简介

使用人工智能头像、口型同步和画外音制作头部视频。涵盖肖像要求、音频质量、OmniHuman、PixVerse lipsync、Dia TTS。用于:发言人视频、课程内容、社交媒体、演示、演示。触发器:会说话的头、头像视频、口型同步、口型同步、人工智能发言人、虚拟演示者、人工智能演示者、全人类、说话头像、视频演示者、人工智能说话头、演示者视频、人工智能面部视频

SKILL.md

name
talking-head-production
description
Talking head video production with AI avatars, lipsync, and voiceover. Covers portrait requirements, audio quality, OmniHuman, PixVerse lipsync, Dia TTS. Use for: spokesperson videos, course content, social media, presentations, demos. Triggers: talking head, avatar video, lipsync, lip sync, ai spokesperson, virtual presenter, ai presenter, omnihuman, talking avatar, video presenter, ai talking head, presenter video, ai face video
allowed-tools
Bash(infsh *)

Talking Head Production

Create talking head videos with AI avatars and lipsync via inference.sh CLI.

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

# Generate dialogue audio
infsh app run falai/dia-tts --input '{
  "prompt": "[S1] Welcome to our product tour. Today I will show you three features that will save you hours every week."
}'

# Create talking head video with OmniHuman
infsh app run bytedance/omnihuman-1-5 --input '{
  "image": "path/to/portrait.png",
  "audio": "path/to/dialogue.mp3"
}'

Portrait Requirements

The source portrait image is critical. Poor portraits = poor video output.

Must Have

RequirementWhySpec
Center-framedAvatar needs face in predictable positionFace centered in frame
Head and shouldersBody visible for natural gesturesCrop below chest
Eyes to cameraCreates connection with viewerDirect frontal gaze
Neutral expressionStarting point for animationSlight smile OK, not laughing/frowning
Clear faceModel needs to detect featuresNo sunglasses, heavy shadows, or obstructions
High resolutionDetail preservationMin 512x512 face region, ideally 1024x1024+

Background

TypeWhen to Use
Solid colorProfessional, clean, easy to composite
Soft bokehNatural, lifestyle feel
Office/studioBusiness context
Transparent (via bg removal)Compositing into other scenes
# Generate a professional portrait background
infsh app run falai/flux-dev-lora --input '{
  "prompt": "professional headshot photograph of a friendly business person, soft studio lighting, clean grey background, head and shoulders, direct eye contact, neutral pleasant expression, high quality portrait photography"
}'

# Or remove background from existing portrait
infsh app run <bg-removal-app> --input '{
  "image": "path/to/portrait-with-background.png"
}'

Audio Quality

Audio quality directly impacts lipsync accuracy. Clean audio = accurate lip movement.

Requirements

ParameterTargetWhy
Background noiseNone/minimalNoise confuses lipsync timing
VolumeConsistent throughoutPrevents sync drift
Sample rate44.1kHz or 48kHzStandard quality
FormatMP3 128kbps+ or WAVCompatible with all tools

Generating Audio

# Simple narration
infsh app run falai/dia-tts --input '{
  "prompt": "[S1] Hi there! I am excited to share something with you today. We have been working on a feature that our users have been requesting for months... and it is finally here."
}'

# With emotion and pacing
infsh app run falai/dia-tts --input '{
  "prompt": "[S1] You know what is frustrating? Spending hours on tasks that should take minutes. (sighs) We have all been there. But what if I told you... there is a better way?"
}'

Model Selection

ModelApp IDBest ForMax Duration
OmniHuman 1.5bytedance/omnihuman-1-5Multi-character, gestures, high quality~30s per clip
OmniHuman 1.0bytedance/omnihuman-1-0Single character, simpler~30s per clip
PixVerse Lipsyncfalai/pixverse-lipsyncQuick lipsync on existing videoShort clips
Fabricfalai/fabric-1-0Cloth/fabric animation on portraitsShort clips

Production Workflows

Basic: Portrait + Audio -> Video

# 1. Generate or prepare audio
infsh app run falai/dia-tts --input '{
  "prompt": "[S1] Your narration script here."
}'

# 2. Generate talking head
infsh app run bytedance/omnihuman-1-5 --input '{
  "image": "portrait.png",
  "audio": "narration.mp3"
}'

With Captions

# 1-2. Same as above

# 3. Add captions to the talking head video
infsh app run infsh/caption-videos --input '{
  "video": "talking-head.mp4",
  "caption_file": "captions.srt"
}'

Long-Form (Stitched Clips)

For content longer than 30 seconds, split into segments:

# Generate audio segments
infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment one script."}' --no-wait
infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment two script."}' --no-wait
infsh app run falai/dia-tts --input '{"prompt": "[S1] Segment three script."}' --no-wait

# Generate talking head for each segment (same portrait for consistency)
infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment1.mp3"}' --no-wait
infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment2.mp3"}' --no-wait
infsh app run bytedance/omnihuman-1-5 --input '{"image": "portrait.png", "audio": "segment3.mp3"}' --no-wait

# Merge all segments
infsh app run infsh/media-merger --input '{
  "media": ["segment1.mp4", "segment2.mp4", "segment3.mp4"]
}'

Multi-Character Conversation

OmniHuman 1.5 supports up to 2 characters:

# 1. Generate dialogue with two speakers
infsh app run falai/dia-tts --input '{
  "prompt": "[S1] So tell me about the new feature. [S2] Sure! We built a dashboard that shows real-time analytics. [S1] That sounds great. How long did it take? [S2] About two weeks from concept to launch."
}'

# 2. Create video with two characters
infsh app run bytedance/omnihuman-1-5 --input '{
  "image": "two-person-portrait.png",
  "audio": "dialogue.mp3"
}'

Framing Guidelines

┌─────────────────────────────────┐
│          Headroom (minimal)     │
│  ┌───────────────────────────┐  │
│  │                           │  │
│  │     ● ─ ─ Eyes at 1/3 ─ ─│─ │ ← Eyes at top 1/3 line
│  │    /|\                    │  │
│  │     |   Head & shoulders  │  │
│  │    / \  visible           │  │
│  │                           │  │
│  └───────────────────────────┘  │
│       Crop below chest          │
└─────────────────────────────────┘

Common Mistakes

MistakeProblemFix
Low-res portraitBlurry face, poor lipsyncUse 1024x1024+ face region
Profile/side angleLipsync can't track mouth wellUse frontal or near-frontal
Noisy audioLipsync drifts, looks unnaturalRecord clean or use TTS
Too-long clipsQuality degrades after 30sSplit into segments, stitch
Sunglasses/obstructionFace features hiddenClear face required
Inconsistent lightingUncanny when animatedEven, soft lighting
No captionsLoses silent/mobile viewersAlways add captions

Related Skills

npx skills add inference-sh/skills@ai-avatar-video
npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@text-to-speech

Browse all apps: infsh app list

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external-service

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