ai-avatar-video

What This Skill Does

The ai-avatar-video skill serves as a powerful interface for the inference.sh platform, enabling users to generate high-quality AI talking head videos directly through the command line. By integrating cutting-edge models like OmniHuman 1.5, Fabric 1.0, and PixVerse, this skill transforms static portrait images into dynamic, lip-synced videos driven by audio input. Whether you need a virtual presenter for an explainer video, a digital influencer for social media marketing, or a dubbing tool to translate existing video content into different languages, this skill provides the necessary pipelines to automate the creation process from start to finish.

Installation

To install this skill into your OpenClaw agent, execute the following command in your terminal:

clawhub install openclaw/skills/skills/okaris/ai-avatar-video

Ensure that you have the infsh CLI installed and configured on your system, as this skill acts as an orchestration layer for the underlying model infrastructure provided by inference.sh. You can verify your installation by running infsh login to ensure authenticated access to the model endpoints.

Use Cases

This skill is designed for creators, marketers, and developers who need to produce media at scale. Key use cases include:

• AI Presenters: Creating professional-looking hosts for corporate training or product demos.
• Content Dubbing: Taking an original video and applying a new, AI-generated audio track in another language while maintaining perfect lip synchronization.
• Marketing & Social Media: Generating engaging virtual influencer clips that feel human-like and responsive.
• Communication Enhancement: Personalizing mass-email outreach with custom AI-generated video messages.

Example Prompts

1. "Create a talking head video using the image at https://example.com/me.jpg and have it read the script: 'Welcome to our monthly status update.'"
2. "Use OmniHuman 1.5 to animate this portrait using the audio from my latest recording: https://s3.cloud.com/voice.mp3"
3. "Take the video at https://myvid.mp4 and generate a version with synchronized lip movements for this new Spanish audio file."

Tips & Limitations

For optimal results, ensure your input image features a clear, front-facing subject with high resolution. Background noise in your input audio can interfere with lipsync accuracy, so use clean, studio-quality speech. Note that processing times vary depending on the model chosen; OmniHuman 1.5 offers the highest visual fidelity but may require more processing time than lighter models like Fabric. Always check the available model list via infsh app list to ensure you are using the most current version for your specific task. This skill requires active internet connectivity to perform model inference via the inference.sh API.