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
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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.
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.
