A full-stack workflow for training and deploying interactive, real-time AI digital humans with high-fidelity voice and visual synchronization.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install digital-human-training
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install digital-human-training using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Digital Human Training & Deployment?
The Digital Human Training & Deployment skill provides a professional framework for building interactive AI avatars. It guides developers through the entire lifecycle of digital human creation, from initial data collection to real-time inference optimization. By leveraging this Openclaw Skills resource, developers can bridge the gap between Large Language Model (LLM) logic and realistic visual/auditory outputs.
This skill focuses on high-fidelity results, utilizing industry-standard tools like GPT-SoVITS for voice cloning and Wav2Lip for lip-syncing. It ensures that the digital human's 'brain' powered by Openclaw Skills is perfectly synchronized with its 'body,' providing a seamless user experience with latency under 500ms.
Digital Human Training & Deployment Use Cases
- Creating real-time interactive AI customer service representatives.
- Developing personalized brand ambassadors with unique voice clones using Openclaw Skills.
- Building low-latency virtual assistants for live streaming and broadcasting.
- Synchronizing complex LLM logic with 2D or 3D visual avatars.
How Digital Human Training & Deployment Works
- Material Preparation: Gather high-definition green screen footage and 1-3 minutes of clean dry voice samples.
- Model Selection: Choose between 2D human routes like Easy-Wav2Lip or 3D/Live2D Unity integrations.
- Voice Training: Implement voice cloning using GPT-SoVITS or Fish Speech for high-fidelity audio reproduction.
- Lip-Sync Integration: Apply SadTalker or Wav2Lip technologies to match visual speech patterns with audio output.
- Logic Connection: Connect the Openclaw Skills logic layer to the digital human visual layer for real-time interaction.
- Deployment: Optimize the inference pipeline on local NVIDIA GPUs or cloud APIs for minimal latency.
Digital Human Training & Deployment Setup
To begin integrating this skill into your environment, prepare your local GPU environment or API keys:
# Install required dependencies for digital human processing
pip install openclaw-digital-human-kit
# Set up the voice cloning and lip-sync environment
export VOICE_ENGINE="gpt-sovits"
export VISION_ENGINE="wav2lip"
Ensure your hardware meets the requirements for NVIDIA RTW (Real-Time Workflow) if deploying locally.
Digital Human Training & Deployment Data Schema & Taxonomy
The skill organizes training assets and inference metadata according to the following structure:
| Asset Category | Data Type | Description |
|---|---|---|
| Source Audio | .wav | 1-3 minutes of high-quality dry voice samples |
| Source Video | .mp4 | High-definition video with green screen background |
| Model Config | .yaml / .json | Configuration files for voice and lip-sync models |
| Interaction Logic | Openclaw Skills Metadata | The conversational context and logic flow for the AI agent |
Digital Human Training & Deployment Advanced Features
- Support for multi-modal interaction combining Openclaw Skills logic with visual feedback.
- Real-time inference optimization achieving less than 500ms latency for natural dialogue.
- Compatibility with both local private GPU deployment and cloud-based streaming APIs like HeyGen.
- Support for diverse technical routes including 2D realism and 3D Unity-based avatars.
SKILL.md
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