Skill detail
p-video-avatar
Generates talking-head avatar videos from a portrait image with built-in TTS via the inference.sh CLI, for presenters, demos, and UGC-style marketing content.
Inspect before use
Read the source instructions and check the requirements before you install this skill.
SKILL.md
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---
name: p-video-avatar
description: "Generate talking head avatar videos with Pruna P-Video-Avatar via inference.sh CLI. Turn a portrait image into a realistic speaking video with built-in TTS. 18x faster and 6x cheaper than competitors. Models: P-Video-Avatar, P-Image (for portrait generation). Capabilities: text-to-avatar, audio-driven avatars, 30 voices, 10 languages, 720p/1080p, built-in TTS, dynamic backgrounds, full-body control. Use for: AI presenters, product demos, explainer videos, virtual influencers, marketing, education, multilingual content, UGC, gaming avatars. Triggers: avatar video, talking head, ai avatar, p-video-avatar, pruna avatar, video avatar, ai presenter, digital human, virtual presenter, lipsync, talking avatar, ai spokesperson, heygen alternative, synthesia alternative, veed alternative, fabric alternative, omnihuman alternative"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# Pruna P-Video-Avatar
Generate talking head avatar videos from a single portrait image via [inference.sh](https://inference.sh) CLI.
P-Video-Avatar is the fastest and most cost-effective avatar video model available. Quality on par with Veo 3.0, 18x faster and 6x cheaper than alternatives like Fabric, OmniHuman, and HeyGen.
## 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
# Generate avatar from portrait + text script
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Hello, welcome to our product demo!",
"voice": "Zephyr (Female)"
}'
```
## Full Workflow: Generate Portrait + Avatar Video
Use Pruna P-Image to generate the portrait, then P-Video-Avatar to animate it:
```bash
# 1. Generate a portrait image with P-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. Use the generated image URL to create the avatar video
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)",
"resolution": "720p"
}'
```
## Examples
### Text Script with Voice Selection
```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"
}'
```
### Audio-Driven Avatar
Provide your own audio file instead of using built-in TTS:
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"audio": "https://speech.mp3"
}'
```
When both `audio` and `voice_script` are provided, audio takes priority.
### 1080p with Custom Style
```bash
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"
}'
```
### Multilingual Content
```bash
# 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"
}'
```
### Reproducible Generation
```bash
belt app run pruna/p-video-avatar --input '{
"image": "https://portrait.jpg",
"voice_script": "Consistent results every time.",
Read the full source on GitHub (opens external page)