inference-sh-6/ai-avatar-video

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

# Create avatar video from image + audio
belt app run bytedance/omnihuman-1-5 --input '{
  "image_url": "https://portrait.jpg",
  "audio_url": "https://speech.mp3"
}'

Available Models

| Model | App ID | Best For | |-------|--------|----------| | OmniHuman 1.5 | bytedance/omnihuman-1-5 | Multi-character, best quality | | OmniHuman 1.0 | bytedance/omnihuman-1-0 | Single character | | Fabric 1.0 | falai/fabric-1-0 | Image talks with lipsync | | PixVerse Lipsync | falai/pixverse-lipsync | Highly realistic |

Search Avatar Apps

belt app list --search "omnihuman"
belt app list --search "lipsync"
belt app list --search "fabric"

Examples

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"
}'

Generates highly realistic lipsync from any audio.

Full Workflow: TTS + Avatar

# 1. Generate speech from text
belt app run infsh/kokoro-tts --input '{
  "prompt": "Welcome to our product demo. Today I will show you..."
}' > 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>"
}'

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>"
}'

Use Cases

• Marketing: Product demos with AI presenter
• Education: Course videos, explainers
• Localization: Dub content in multiple languages
• Social Media: Consistent virtual influencer
• Corporate: Training videos, announcements

Tips

• Use high-quality portrait photos (front-facing, good lighting)
• Audio should be clear with minimal background noise
• OmniHuman 1.5 supports multiple people in one image
• LatentSync is best for syncing existing videos to new audio

Related Skills

# Full platform skill (all 250+ apps)
npx skills add inference-sh/skills@infsh-cli

# Text-to-speech (generate audio for avatars)
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