An AI-powered video synthesis tool that transforms static images into high-quality 1080p MP4 files using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install image-video
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install 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 Image Video — Convert Images Into Video?
The Image Video skill is a robust extension within the Openclaw Skills ecosystem designed to bridge the gap between static imagery and dynamic video content. By leveraging cloud-based GPU nodes, this skill allows users to convert JPG, PNG, WEBP, and HEIC files into fully edited videos without requiring local processing power. It is particularly effective for users who need to generate marketing materials, social media content, or product slideshows through simple natural language commands.
Built to integrate seamlessly with AI agents, this Openclaw Skills component handles the heavy lifting of video compositing, transition application, and audio layering. It provides a professional-grade output in 1080p resolution, making it a reliable choice for developers and creators looking to automate their media production pipeline.
Image Video — Convert Images Into Video Use Cases
- Creating automated product slideshows for ecommerce platforms using a series of static JPG photos.
- Generating social media content with transitions and background music from raw image assets.
- Batch processing image folders into cohesive 1080p MP4 video summaries for presentations.
- Utilizing an Openclaw Skills agent to iteratively edit video timelines via text prompts for fast content refinement.
How Image Video — Convert Images Into Video Works
- The skill initializes by checking for a NEMO_TOKEN in the environment or requesting an anonymous token from the cloud backend.
- A project session is created to track the timeline, uploaded assets, and video state.
- User images are uploaded to the cloud GPU node via a multipart POST request.
- Instructions are sent through a Server-Sent Events (SSE) stream, allowing the AI to build a multi-track timeline containing video, audio, and text segments.
- The render pipeline composites the layers and exports the final 1080p MP4 file to a downloadable URL.
Image Video — Convert Images Into Video Setup
To get started with this Openclaw Skills extension, ensure you have the necessary environment variables configured. The skill can automatically generate an anonymous token for first-time users.
# Set your API token if you have one
export NEMO_TOKEN="your_token_here"
# The skill will store configuration in:
# ~/.config/nemovideo/
Image Video — Convert Images Into Video Data Schema & Taxonomy
The skill organizes video projects using a structured session state that maps directly to a multi-track timeline. Data is organized according to the following metadata taxonomy:
| Key | Description |
|---|---|
| t | Tracks (Timeline layers for video, audio, and text) |
| tt | Track Type (0: Video, 1: Audio, 7: Text) |
| sg | Segments (Individual media clips with timing data) |
| d | Duration (Length of segments in milliseconds) |
| m | Metadata (Asset source information and formatting) |
Image Video — Convert Images Into Video Advanced Features
- Cloud GPU rendering for high-speed video export (30-60 second processing time).
- Support for complex multi-track editing including BGM, text overlays, and transitions.
- Intelligent session persistence allowing for iterative refinements within the Openclaw Skills framework.
- Automated credit management and anonymous authentication for frictionless onboarding.
SKILL.md
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