ai-avatar-video

Q: How do I install ai-avatar-video?

Run npx skills add https://github.com/magentosh/superpowers --skill ai-avatar-video in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-avatar-video/ (personal) or .claude/skills/ai-avatar-video/ (project).

by magentoshMedia & Creative

Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

Installs: 771.8K
Last 24h: +9.8K
Trending rank: #27
Security: Warn

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/magentosh/superpowers --skill ai-avatar-video

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads ai-avatar-video automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·This skill provides instructions for using the inference.sh CLI to generate AI avatar videos. It implements security best practices by restricting shell access to specific tools and utilizing official service repositories.

Socket Warn1 alert: gptAnomaly

Snyk PassLOW ·Risk: LOW · No issues

SKILL.md

The instructions your agent reads when the skill is triggered.

Install the belt CLI skill: npx skills add belt-sh/cli

AI Avatar & Talking Head Videos

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

AI Avatar & Talking Head Videos

Quick Start

Requires inference.sh CLI (belt). Install instructions

belt login

# Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS)
belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "voice_script": "Hello, welcome to our product demo!",
  "voice": "Zephyr (Female)"
}'

Available Models

Start with P-Video-Avatar — it's 18x faster and 6x cheaper than alternatives, with built-in TTS, dynamic backgrounds, and 1080p support.

Model	App ID	Best For	Built-in TTS
P-Video-Avatar	`pruna/p-video-avatar`	Best overall: speed, cost, quality, control	Yes (30 voices, 10 languages)
OmniHuman 1.5	`bytedance/omnihuman-1-5`	Multi-character, audio-driven	No
Fabric 1.0	`falai/fabric-1-0`	Image talks with lipsync	Yes
PixVerse Lipsync	`falai/pixverse-lipsync`	Highly realistic lipsync	No

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)

Examples

P-Video-Avatar (Recommended)

Generate avatar from portrait + text script with built-in TTS:

belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "voice_script": "Welcome to our product walkthrough. Today I will show you three key features.",
  "voice": "Puck (Male)",
  "voice_language": "English (US)",
  "resolution": "720p"
}'

With custom style control:

belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "voice_script": "This is exciting news!",
  "voice": "Aoede (Female)",
  "voice_prompt": "Enthusiastic and energetic tone",
  "video_prompt": "The person is presenting on stage with dramatic lighting",
  "resolution": "1080p"
}'

With audio file instead of TTS:

belt app run pruna/p-video-avatar --input '{
  "image": "https://portrait.jpg",
  "audio": "https://speech.mp3"
}'

Full Workflow: Generate Portrait + Avatar

Use Pruna P-Image to generate the portrait, then create the 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)"
}'

OmniHuman 1.5 (Multi-Character)

belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "https://speech.mp3"
}'

Supports specifying which character to drive in multi-person images.

Fabric 1.0 (Image Talks)

belt app run falai/fabric-1-0 --input '{
  "image_url": "https://face.jpg",
  "audio_url": "https://audio.mp3"
}'

PixVerse Lipsync

belt app run falai/pixverse-lipsync --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "https://speech.mp3"
}'

Full Workflow: TTS + Avatar (Non-TTS Models)

For models without built-in TTS (OmniHuman, PixVerse), generate speech first:

# 1. Generate speech — Inworld TTS-2 for expressive character voices
belt app run inworld/text-to-speech-2 --input '{
  "text": "[friendly] Welcome to our product demo! [excited] Let me show you three features that will change how you work.",
  "voice_id": "Sarah",
  "delivery_mode": "CREATIVE"
}' > speech.json

# 2. Create avatar video with the speech
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://presenter-photo.jpg",
  "audio_url": "<audio-url-from-step-1>"
}'

Tip: For most use cases, P-Video-Avatar with built-in TTS is simpler — no separate audio step needed. Use this workflow only when you specifically need OmniHuman (multi-character) or PixVerse (realistic lipsync).

Full Workflow: Dub Video in Another Language

# 1. Transcribe original video
belt app run infsh/fast-whisper-large-v3 --input '{"audio_url": "https://video.mp4"}' > transcript.json

# 2. Translate text (manually or with an LLM)

# 3. Generate speech in new language
belt app run infsh/kokoro-tts --input '{"text": "<translated-text>"}' > new_speech.json

# 4. Lipsync the original video with new audio
belt app run infsh/latentsync-1-6 --input '{
  "video_url": "https://original-video.mp4",
  "audio_url": "<new-audio-url>"
}'

Avatar UGC Generation

Create UGC-style content with P-Video-Avatar — built-in TTS, no separate audio step needed:

# 1. Generate a relatable UGC-style portrait
belt app run pruna/p-image --input '{
  "prompt": "casual selfie-style photo of a young woman in a cozy room, natural lighting, looking at camera, warm smile, authentic feel",
  "aspect_ratio": "9:16"
}'

# 2. Create UGC avatar video with built-in TTS
belt app run pruna/p-video-avatar --input '{
  "image": "<image-url-from-step-1>",
  "voice_script": "Okay so I just tried this product and honestly? It is a game changer. I was not expecting to love it this much but here we are!",
  "voice": "Zephyr (Female)",
  "voice_prompt": "Excited, casual, authentic tone like talking to a friend",
  "video_prompt": "The person is talking casually to camera in their room, natural gestures",
  "resolution": "1080p"
}'

Why P-Video-Avatar for UGC

All-in-one — built-in TTS means no separate audio generation step
30 voices, 10 languages — match your target audience
Voice + video prompts — control tone, emotion, body language, and background independently
18x faster, 6x cheaper — produce UGC at scale vs. Fabric/OmniHuman/HeyGen
1080p support — platform-ready vertical video from a single portrait image

Batch UGC: Same Product, Multiple Presenters

# Generate 3 different presenters
for voice in "Zephyr (Female)" "Puck (Male)" "Aoede (Female)"; do
  belt app run pruna/p-video-avatar --input "{
    \"image\": \"https://portrait.jpg\",
    \"voice_script\": \"This changed my morning routine completely. Five minutes and I am done.\",
    \"voice\": \"$voice\",
    \"voice_prompt\": \"Casual, authentic, like a real testimonial\",
    \"video_prompt\": \"Person talking to camera in a bright kitchen\",
    \"resolution\": \"1080p\"
  }"
done

Use Cases

UGC & Marketing: Product demos, UGC-style ads with AI presenters
Education: Course videos, explainers
Localization: Dub content across 10 languages from one image
Social Media: Consistent virtual influencer content
Corporate: Training videos, announcements
Gaming: Character avatars, NPC dialogue

Tips

Use high-quality portrait photos (front-facing, good lighting)
Audio should be clear with minimal background noise
P-Video-Avatar supports built-in TTS — no need for a separate speech generation step
P-Video-Avatar output aspect ratio matches the input image
Generate portraits with pruna/p-image using 9:16 aspect ratio for vertical videos
OmniHuman 1.5 supports multiple people in one image
LatentSync is best for syncing existing videos to new audio

Related Skills

# Dedicated P-Video-Avatar skill
npx skills add inference-sh/skills@p-video-avatar

# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli

# Text-to-speech (generate audio for non-TTS avatar models)
npx skills add inference-sh/skills@text-to-speech

# Speech-to-text (transcribe for dubbing)
npx skills add inference-sh/skills@speech-to-text

# Video generation
npx skills add inference-sh/skills@ai-video-generation

# Image generation (create avatar images)
npx skills add inference-sh/skills@ai-image-generation

Browse all video apps: belt app list --category video

Documentation

Running Apps - How to run apps via CLI
Content Pipeline Example - Building media workflows
Streaming Results - Real-time progress updates

FAQ

What does the ai-avatar-video skill do?

How do I install ai-avatar-video?

Run npx skills add https://github.com/magentosh/superpowers --skill ai-avatar-video in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/ai-avatar-video/ (personal) or .claude/skills/ai-avatar-video/ (project).

Which AI agents can use ai-avatar-video?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is ai-avatar-video safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket flagged items to review; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains ai-avatar-video?

It is published by magentosh in magentosh/superpowers. It has 771,814 recorded installs.

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ai-avatar-video

Install

Install

Describe the task

Review the result

Security audits

SKILL.md

AI Avatar & Talking Head Videos

Quick Start

Available Models

Cost & Speed Comparison

Examples

P-Video-Avatar (Recommended)

Full Workflow: Generate Portrait + Avatar

OmniHuman 1.5 (Multi-Character)

Fabric 1.0 (Image Talks)

PixVerse Lipsync

Full Workflow: TTS + Avatar (Non-TTS Models)

Full Workflow: Dub Video in Another Language

Avatar UGC Generation

Why P-Video-Avatar for UGC

Batch UGC: Same Product, Multiple Presenters

Use Cases

Tips

Related Skills

Documentation

FAQ

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Popular media & creative skills