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ai-media

Full-stack AI media generation powered by GPU server (RTX 3090/3080/2070S).

0
493 downloads
by @bowen31337

Setup & Installation

openclaw skills install @bowen31337/ai-media

Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:

npx clawhub install ai-media

What This Skill Does

Runs image, video, talking head, and voice synthesis jobs on a remote GPU server over SSH. Scripts wrap ComfyUI, SadTalker, and Voxtral pipelines and return output file paths when generation completes. Supports multiple models per media type with configurable style, duration, and language parameters.

Offloads GPU-intensive generation to a dedicated server so the local machine stays free and jobs run in the background without blocking other work.

When to use it

  • Generating photorealistic images from text prompts for mockups or content
  • Creating short AI-generated videos for social media or product demos
  • Animating a static portrait photo into a lip-synced talking head video
  • Synthesizing voiceover audio in multiple languages and voice genders
  • Producing agent-narrated demo videos with an animated avatar and synced speech

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Make a talking head video of someone saying 'Welcome to the future' in a neutral voice using photo.png

AGENT
  1. 1Verify SSH connectivity to the GPU server using the configured key
  2. 2Call talking-head.sh with the speech text, 'neutral' voice style, and photo.png as the avatar
  3. 3SadTalker processes audio-driven animation on the GPU server
  4. 4Script waits for completion and retrieves the output file path
OUTPUT

Path to the generated video, e.g. /data/ai-stack/output/talking_001.mp4, ready in roughly 30-40 seconds for a 10-second clip

Requirements

Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.

GPU server accessible via SSH with GPU_USER and GPU_HOST environment variables configuredSSH private key present at ~/.ssh/id_ed25519_gpu with access to the GPU server