Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Harden ClawHub packaging, remove runtime package.json dependency, and restrict MCP auto-download hosts.
What This Skill Does
Connects to Sogni AI's decentralized GPU network to generate images and videos from text prompts or reference files. Supports editing existing images, face transfer via photobooth mode, 360-degree turntable sweeps, and multiple video workflows including text-to-video, image-to-video, audio-driven, and video-to-video with ControlNet.
Uses a decentralized GPU network instead of a central API endpoint, which can reduce queuing and avoids single-provider lock-in for compute.
When to use it
- Generate a stylized portrait from a face photo for a LinkedIn headshot
- Animate a product image into a short looping video
- Restore a damaged vintage photo by editing it with a text prompt
- Create a 360-degree turntable video from a single product image
- Generate a lip-synced talking head from a face image and audio file
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: generate a short video of ocean waves at sunset
- 1Selects text-to-video workflow with default WAN model
- 2Rewrites the prompt into a continuous cinematic prose paragraph
- 3Runs sogni-gen.mjs with --video flag and -o flag to save locally
- 4Receives JSON output with success status and local file path
An mp4 file saved to the specified output path, e.g. /tmp/video.mp4
Requirements
Accounts, API keys, or tools you or your AI assistant may need to set up while using this skill.