ai-avatar-video

AI Avatar & Talking Head Videos

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Install skill "ai-avatar-video" with this command: npx skills add inferencesh/skills@inference-sh

AI Avatar & Talking Head Videos

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

Quick Start

curl -fsSL https://cli.inference.sh | sh && infsh login

Create avatar video from image + audio

infsh 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

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

Examples

OmniHuman 1.5 (Multi-Character)

infsh 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)

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

PixVerse Lipsync

infsh 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

infsh app run infsh/kokoro-tts --input '{ "text": "Welcome to our product demo. Today I will show you..." }' > speech.json

2. Create avatar video with the speech

infsh 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

infsh 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

infsh app run infsh/kokoro-tts --input '{"text": "<translated-text>"}' > new_speech.json

4. Lipsync the original video with new audio

infsh 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 150+ apps)

npx skills add inferencesh/skills@inference-sh

Text-to-speech (generate audio for avatars)

npx skills add inferencesh/skills@text-to-speech

Speech-to-text (transcribe for dubbing)

npx skills add inferencesh/skills@speech-to-text

Video generation

npx skills add inferencesh/skills@ai-video-generation

Image generation (create avatar images)

npx skills add inferencesh/skills@ai-image-generation

Browse all video apps: infsh 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

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