Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Developer Tools
Ai Avatar Video
Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Li...
skill openclawclawhub Free
Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Li...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.5
Provenance
- Publisher
- okaris
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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" }' Install note: The install script only detects your OS/architecture, downloads the matching binary from dist.inference.sh, and verifies its SHA-256 checksum. No elevated permissions or background processes. Manual install & verification available.
Available Models
ModelApp IDBest ForOmniHuman 1.5bytedance/omnihuman-1-5Multi-character, best qualityOmniHuman 1.0bytedance/omnihuman-1-0Single characterFabric 1.0falai/fabric-1-0Image talks with lipsyncPixVerse Lipsyncfalai/pixverse-lipsyncHighly realistic
Search Avatar Apps
infsh app list --search "omnihuman" infsh app list --search "lipsync" infsh app list --search "fabric"
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 inference-sh/skills@inference-sh # 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: 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
Category context
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md