Agent Skills
› NeverSight/learn-skills.dev
› talking-head-production
talking-head-production
GitHub通过AI生成口播视频，支持Avatar、唇形同步及配音。推荐P-Video-Avatar模型以兼顾速度与成本。涵盖肖像要求、多模型对比及工作流，适用于宣传片、课程及演示。
触发场景
talking head
avatar video
lipsync
ai spokesperson
virtual presenter
ai presenter
omnihuman
talking avatar
video presenter
ai talking head
presenter video
ai face video
p-video-avatar
安装
npx skills add NeverSight/learn-skills.dev --skill talking-head-production -g -y
SKILL.md
Frontmatter
{
"name": "talking-head-production",
"description": "Talking head video production with AI avatars, lipsync, and voiceover. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also covers OmniHuman, PixVerse, Fabric. Portrait requirements, audio quality, production workflows. 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, p-video-avatar",
"allowed-tools": "Bash(belt *)"
}
Install the belt CLI skill:
npx skills add belt-sh/cli
Talking Head Production
Create talking head videos with AI avatars and lipsync via inference.sh CLI.
Quick Start
Requires inference.sh CLI (
belt). Install instructions
belt login
# Recommended: P-Video-Avatar (built-in TTS, fastest, cheapest)
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Welcome to our product tour. Today I will show you three features that will save you hours every week.",
"voice": "Zephyr (Female)"
}'
Portrait Requirements
The source portrait image is critical. Poor portraits = poor video output.
Must Have
| Requirement | Why | Spec |
|---|---|---|
| Center-framed | Avatar needs face in predictable position | Face centered in frame |
| Head and shoulders | Body visible for natural gestures | Crop below chest |
| Eyes to camera | Creates connection with viewer | Direct frontal gaze |
| Neutral expression | Starting point for animation | Slight smile OK, not laughing/frowning |
| Clear face | Model needs to detect features | No sunglasses, heavy shadows, or obstructions |
| High resolution | Detail preservation | Min 512x512 face region, ideally 1024x1024+ |
Generate a Portrait
# Generate a professional portrait with P-Image
belt app run pruna/p-image --input '{
"prompt": "professional headshot portrait of a friendly business person, soft studio lighting, clean grey background, head and shoulders, direct eye contact, neutral pleasant expression, photorealistic",
"aspect_ratio": "9:16"
}'
Background Options
| Type | When to Use |
|---|---|
| Solid color | Professional, clean, easy to composite |
| Soft bokeh | Natural, lifestyle feel |
| Office/studio | Business context |
| Dynamic (P-Video-Avatar) | Use video_prompt to set background |
Model Selection
Start with P-Video-Avatar — it's 18x faster and 6x cheaper than alternatives, with built-in TTS.
| Model | App ID | Built-in TTS | Best For |
|---|---|---|---|
| P-Video-Avatar | pruna/p-video-avatar |
Yes (30 voices, 10 langs) | Best overall: speed, cost, quality |
| OmniHuman 1.5 | bytedance/omnihuman-1-5 |
No | Multi-character, gestures |
| OmniHuman 1.0 | bytedance/omnihuman-1-0 |
No | Single character |
| Fabric 1.0 | falai/fabric-1-0 |
Yes | Image talks with lipsync |
| PixVerse Lipsync | falai/pixverse-lipsync |
No | Realistic lipsync |
Cost & Speed Comparison
| Model | Speed (per sec of video) | Cost per second |
|---|---|---|
| P-Video-Avatar | ~1.83s/s | $0.025 |
| OmniHuman 1.5 | ~28s/s (15x slower) | $0.16 (6.4x more) |
| Fabric 1.0 | ~34s/s (18x slower) | $0.14 (5.6x more) |
Production Workflows
Simple: Text Script -> Video (P-Video-Avatar)
No separate TTS step needed — P-Video-Avatar has built-in voices:
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Hi there! I am excited to share something with you today.",
"voice": "Puck (Male)",
"voice_language": "English (US)",
"resolution": "720p"
}'
With Style Control
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "This is exciting news for our community!",
"voice": "Aoede (Female)",
"voice_prompt": "Enthusiastic and energetic tone, slightly faster pace",
"video_prompt": "The person is presenting on stage with dramatic lighting",
"resolution": "1080p"
}'
Audio-Driven (Any Model)
Provide your own audio file:
# P-Video-Avatar with custom audio
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"audio": "https://speech.mp3"
}'
# OmniHuman with custom audio
belt app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://portrait.jpg",
"audio_url": "https://speech.mp3"
}'
Full Workflow: Generate Portrait + Avatar
# 1. Generate a portrait image
belt app run pruna/p-image --input '{
"prompt": "professional headshot portrait of a young woman, neutral background, looking at camera, studio lighting, photorealistic",
"aspect_ratio": "9:16"
}'
# 2. Create avatar video with built-in TTS
belt app run pruna/p-video-avatar --input '{
"image": "<image-url-from-step-1>",
"voice_script": "Hi there! Let me walk you through our latest features.",
"voice": "Zephyr (Female)"
}'
With Separate TTS (for non-TTS models)
# 1. Generate speech
belt app run falai/dia-tts --input '{
"prompt": "[S1] Your narration script here."
}'
# 2. Create talking head
belt app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://portrait.jpg",
"audio_url": "<audio-url-from-step-1>"
}'
Multi-Character Conversation
OmniHuman 1.5 supports up to 2 characters:
# 1. Generate dialogue with two speakers
belt 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
belt app run bytedance/omnihuman-1-5 --input '{
"image_url": "https://two-person-portrait.png",
"audio_url": "<audio-url>"
}'
Long-Form (Stitched Clips)
For content longer than ~60 seconds, split into segments:
# Generate clips with same portrait for consistency
belt app run pruna/p-video-avatar --input '{"image": "https://portrait.jpg", "voice_script": "Segment one..."}' --no-wait
belt app run pruna/p-video-avatar --input '{"image": "https://portrait.jpg", "voice_script": "Segment two..."}' --no-wait
belt app run pruna/p-video-avatar --input '{"image": "https://portrait.jpg", "voice_script": "Segment three..."}' --no-wait
# Merge all segments
belt app run infsh/media-merger --input '{
"media": ["segment1.mp4", "segment2.mp4", "segment3.mp4"]
}'
Multilingual Content
P-Video-Avatar supports 10 languages with built-in TTS:
# Spanish
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Bienvenidos a nuestra demostración de producto.",
"voice": "Kore (Female)",
"voice_language": "Spanish"
}'
# Japanese
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "こんにちは、製品デモへようこそ。",
"voice": "Leda (Female)",
"voice_language": "Japanese"
}'
Dub Existing Video
# 1. Transcribe original video
belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://video.mp4"}'
# 2. Translate text (manually or with LLM)
# 3. Generate speech in new language
belt app run infsh/kokoro-tts --input '{"text": "<translated-text>"}'
# 4. Lipsync original video with new audio
belt app run infsh/latentsync-1-6 --input '{
"video_url": "https://original-video.mp4",
"audio_url": "<new-audio-url>"
}'
Audio Quality (for non-TTS workflows)
When providing your own audio, quality directly impacts lipsync accuracy.
| Parameter | Target | Why |
|---|---|---|
| Background noise | None/minimal | Noise confuses lipsync timing |
| Volume | Consistent throughout | Prevents sync drift |
| Sample rate | 44.1kHz or 48kHz | Standard quality |
| Format | MP3 128kbps+ or WAV | Compatible with all tools |
Available Voices (P-Video-Avatar)
Female: Zephyr, Kore, Leda, Aoede, Callirrhoe, Autonoe, Despina, Erinome, Laomedeia, Achernar, Gacrux, Pulcherrima, Vindemiatrix, Sulafat
Male: Puck, Charon, Fenrir, Orus, Enceladus, Iapetus, Umbriel, Algenib, Algieba, Schedar, Achird, Zubenelgenubi, Sadachbia, Sadaltager, Alnilam, Rasalgethi
Languages: English (US), English (UK), Spanish, French, German, Italian, Portuguese (Brazil), Japanese, Korean, Hindi
Framing Guidelines
┌─────────────────────────────────┐
│ Headroom (minimal) │
│ ┌───────────────────────────┐ │
│ │ │ │
│ │ ● ─ ─ Eyes at 1/3 ─ ─│─ │ ← Eyes at top 1/3 line
│ │ /|\ │ │
│ │ | Head & shoulders │ │
│ │ / \ visible │ │
│ │ │ │
│ └───────────────────────────┘ │
│ Crop below chest │
└─────────────────────────────────┘
Common Mistakes
| Mistake | Problem | Fix |
|---|---|---|
| Low-res portrait | Blurry face, poor lipsync | Use 1024x1024+ face region |
| Profile/side angle | Lipsync can't track mouth well | Use frontal or near-frontal |
| Noisy audio | Lipsync drifts, looks unnatural | Use built-in TTS or record clean |
| Too-long clips | Quality degrades | Split into segments, stitch |
| Sunglasses/obstruction | Face features hidden | Clear face required |
| Inconsistent lighting | Uncanny when animated | Even, soft lighting |
Related Skills
# Dedicated P-Video-Avatar skill
npx skills add inference-sh/skills@p-video-avatar
# All avatar models
npx skills add inference-sh/skills@ai-avatar-video
# All video generation models
npx skills add inference-sh/skills@ai-video-generation
# Text-to-speech
npx skills add inference-sh/skills@text-to-speech
# Image generation (for portraits)
npx skills add inference-sh/skills@ai-image-generation
Browse all apps: belt app store
版本历史
- c3c0a1e 当前 2026-07-23 07:03
依赖关系
-
suggested
belt-sh/cli -
suggested
inference-sh/skills@p-video-avatar -
suggested
inference-sh/skills@ai-avatar-video -
suggested
inference-sh/skills@ai-video-generation -
suggested
inference-sh/skills@text-to-speech -
suggested
inference-sh/skills@ai-image-generation
