ai-media - AI Media Generation for Openclaw

A high-performance media generation suite for creating photorealistic images, synthetic videos, talking heads, and neural audio via GPU-accelerated workflows.

bowen31337
v1.0.1
Feb 14, 2026
0
769
4

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install ai-media

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install ai-media 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 ai-media - AI Media Generation?

This skill enables developers and creators to harness the power of dedicated GPU servers for full-stack AI media production. By integrating industry-standard tools like ComfyUI, SadTalker, and Voxtral, it provides a unified interface for generating complex multimedia assets directly through CLI scripts. It is designed to work seamlessly within the Openclaw Skills ecosystem to automate creative workflows.

Whether you need high-fidelity SDXL images or sophisticated LTX-2 video synthesis, this skill abstracts the complexity of remote GPU management. It handles SSH connectivity, environment validation, and file organization automatically, allowing you to focus on the creative output rather than infrastructure configuration.

ai-media - AI Media Generation Use Cases

  • Automated generation of marketing visuals using photorealistic image models.
  • Creation of synthetic video content for social media or presentations.
  • Developing interactive talking head avatars for virtual assistants or educational content.
  • High-speed text-to-speech synthesis for multi-language audio production.
  • Rapid prototyping of AI-generated media within the Openclaw Skills framework.

How ai-media - AI Media Generation Works

  1. The user triggers a generation script (e.g., image.sh or video.sh) with specific parameters like prompts and styles.
  2. The skill establishes a secure SSH connection to the configured GPU server.
  3. Environment checks are performed to ensure GPU availability and model readiness.
  4. The server executes the relevant generation pipeline using ComfyUI for visuals, Voxtral for audio, or SadTalker for animation.
  5. Generated assets are saved to a centralized output directory, and the local path is returned to the user for immediate use.

ai-media - AI Media Generation Setup

To deploy this skill, ensure your GPU server is accessible via SSH and has the required stack installed. Configure environment variables for the host and user: ${GPU_USER} and ${GPU_HOST}. Place your SSH key at ~/.ssh/id_ed25519_gpu for automated authentication.

Verify tool installation on the remote server:

ls /data/ai-stack/comfyui/
ls /data/ai-stack/sadtalker/
ls /data/ai-stack/whisper/

Test connectivity and generation by running a basic command:

./scripts/image.sh "a futuristic laboratory" artistic

ai-media - AI Media Generation Data Schema & Taxonomy

The skill maintains a structured output system on the remote GPU server to ensure organized asset management within Openclaw Skills.

Directory Content Type
/data/ai-stack/output/ Final generated assets (PNG, MP4, WAV)
/data/ai-stack/comfyui/ Image and Video generation workflows
/data/ai-stack/sadtalker/ Animation data and avatar assets
/data/ai-stack/whisper/ Voice synthesis and TTS models

Files are named sequentially (e.g., image_001.png, video_001.mp4) to prevent overwrites.

ai-media - AI Media Generation Advanced Features

  • Support for high-end video models like LTX-2 (19B params) and AnimateDiff for temporal consistency.
  • Integrated face enhancement for talking head generation using SadTalker with high-fidelity output.
  • Multi-language neural voice synthesis with gender and style customization via whisper.cpp.
  • Built-in error handling that validates GPU status and cleans up failed generations automatically.
  • Extensible script-based architecture for adding custom style presets and model checkpoints.

SKILL.md


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