AI Image to Video for Openclaw

A professional AI video creation tool that converts image collections into 1080p MP4 videos via a cloud GPU rendering pipeline.

whitejohnk-26
v1.0.0
Apr 28, 2026
0
288
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install ai-image-video

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-image-video 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 Image to Video?

The AI Image to Video skill is a robust automation tool designed to bridge the gap between static assets and dynamic video content. By leveraging cloud-based GPU nodes, this skill allows users to turn these images into a 30-second video complete with professional transitions, background music, and text overlays. It is an essential component for developers using Openclaw Skills who need to integrate automated video production into their workflows.

Built for speed and quality, the skill processes high-resolution files (JPG, PNG, WEBP, HEIC) and outputs optimized 1080p MP4 files. It manages the entire lifecycle of video creation, from anonymous token authentication and session persistence to real-time editing via SSE streams and final rendering, making it a powerful asset for content creators and marketers.

AI Image to Video Use Cases

  • Convert product image collections into professional 1080p MP4 marketing videos.
  • Automate the creation of social media reels from static photos using Openclaw Skills.
  • Generate slideshows with transitions and background music for presentations.
  • Batch process hundreds of images into categorized video segments via CLI automation.

How AI Image to Video Works

  1. The skill verifies or generates a NEMO_TOKEN to authenticate with the cloud processing backend.
  2. A unique session is established to maintain the state of the video timeline and project drafts.
  3. User-provided images (up to 200MB) are uploaded to the secure cloud storage.
  4. Creative instructions are sent through a Server-Sent Events (SSE) stream to apply transitions, text, and audio tracks.
  5. The cloud GPU pipeline composites the layers and renders the video in H.264 format.
  6. The system polls the render status and provides a high-quality download URL once completed.

AI Image to Video Setup

To get started with this skill within Openclaw Skills, ensure your environment is configured correctly.

# Set your API token if you have a premium account
export NEMO_TOKEN="your_token_here"

# The skill automatically creates necessary config directories
mkdir -p ~/.config/nemovideo/

If no token is provided, the skill will automatically negotiate an anonymous session with 100 free credits for immediate use.

AI Image to Video Data Schema & Taxonomy

The skill organizes video data using a compressed JSON draft schema to minimize latency during SSE transmissions.

Attribute Description
Supported Formats JPG, PNG, WEBP, HEIC, MP4, MOV, MP3, WAV
Max File Size 200MB per upload
Timeline Tracks 0 (Video), 1 (Audio), 7 (Text)
Export Specs 1080p, H.264 MP4, 30-60s average processing
Metadata Keys t (tracks), tt (type), sg (segments), d (duration)

AI Image to Video Advanced Features

  • Persistent session state allowing for iterative editing without re-uploading assets.
  • Real-time SSE feedback loop for monitoring cloud GPU rendering progress.
  • Automated attribution header management for seamless API integration within Openclaw Skills.
  • Support for multi-layered timelines including synchronized BGM and text overlays.
  • Intelligent error handling for rate limits, expired tokens, and credit management.

SKILL.md


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