ai-avatar-video

What the source does

• FilesystemNone observedNo reads or writes in the source
• NetworkNone observedNo outbound calls in the source
• ShellNone observedNo commands run in the source
• DependenciesPinnedNothing floats
• SecretsNone foundNo keys in source

Five audit layers

Gates applied: no behavioural pass, no license.

Audit 0.4.1 · source sha 4599ef28a2a7 · 22 Oct 2026Report an issue or request a re-scan

• Publisher101-skills GitHub organizationOwner of the repository this skill is read from
• Source folder101-skills/skills/tools/video/ai-avatar-videoThe exact folder we audited
• LicenceNot declaredAs the repository states it
• Commit pinned for this verdict4599ef28a2a7A new audit runs when the source changes
• Repository statusNot archivedLast push 6 days ago
• Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

Its description: 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…

---
name: ai-avatar-video
description: "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"
allowed-tools: Bash(belt *)
---

> **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](https://inference.sh) CLI.

![AI Avatar & Talking Head Videos](https://cloud.inference.sh/app/files/u/4mg21r6ta37mpaz6ktzwtt8krr/01kg0tszs96s0n8z5gy8y5mbg7.jpeg)

## Quick Start

> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)

```bash
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` | Lipsync an existing video | Yes |

### 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:

```bash
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:

```bash
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:

```bash
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:

```bash
# 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)

```bash
belt app run bytedance/omnihuman-1-5 --input '{
  "image": "https://portrait.jpg",
  "audio": "https://speech.mp3"
}'
```

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

### Fabric 1.0 (Image Talks)

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

### PixVerse Lipsync

```bash
belt app run falai/pixverse-lipsync --input '{
  "video": "https://talking-head.mp4",
  "audio": "https://speech.mp3"
}'
```

Takes a video, not a still image. Omit `audio` and pass `text` (plus optional `voice_id`) to use the built-in TTS.

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

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

```bash
# 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": "https://presenter-photo.jpg",
  "audio": "<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

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

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

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

# 4. Lipsync the original video with new audio
belt app run infsh/latentsync-1-6 --input '{
  "video_path": "https://original-

Excerpt, first 6,000 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

npx skills add inference-sh/skills@p-video-avatar
npx skills add inference-sh/skills@infsh-cli
npx skills add inference-sh/skills@text-to-speech
npx skills add inference-sh/skills@speech-to-text
npx skills add inference-sh/skills@ai-video-generation
npx skills add inference-sh/skills@ai-image-generation

git clone https://github.com/101-skills/skills
git -C skills checkout 4599ef28a2a7

Works in

1. 2026-10-22
   ✓SAFE B 89 / 100

   first audit · source 4599ef28a2a7

Questions about ai-avatar-video

• github.com/101-skills/skills/tree/main/tools/video/ai-avatar-vid — the audited source at commit 4599ef28a2a7 and every finding aboveObserved · 22 Oct 2026

Spotted something wrong? Report a correction · Methodology