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.

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 250+ 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