Dzine AI is a specialized skill for turning static images and text prompts into professional 1080p branded videos using cloud GPU rendering.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install dzine-ai
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 dzine-ai 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 Dzine AI?
Dzine AI is a sophisticated video production tool within the Openclaw Skills ecosystem, designed specifically for marketers and content creators. It bridges the gap between static assets and high-quality motion content by leveraging remote GPU nodes to composite layers, apply motion effects, and handle platform-specific compression (H.264).
The skill simplifies the video editing process by allowing users to describe their vision in natural language. Whether you are turning product photos into promotional clips or adding text overlays and background music to existing footage, Dzine AI handles the heavy lifting on the server side, delivering polished 1080p MP4 files in just minutes.
Dzine AI Use Cases
- Creating branded promotional videos from static product photography and brand color hex codes.
- Animating static images with professional motion effects for social media marketing.
- Batch processing multiple media files to create consistent video content styles.
- Iterative video editing where users refine a rough cut through natural language instructions.
- Adding text overlays and background audio tracks to video projects without manual timeline editing.
How Dzine AI Works
- Authentication: The skill checks for a NEMO_TOKEN; if missing, it automatically generates an anonymous token via a client identifier.
- Session Creation: A project session is initialized on the remote server to track timeline changes and render job IDs.
- Asset Upload: Users provide JPG, PNG, MP4, or MOV files which are sent to the cloud backend (supporting files up to 200MB).
- Intent Mapping: User prompts are routed to specific actions like SSE (Server-Sent Events) for generation, credit checks, or export workflows.
- Cloud Rendering: The backend processes the video tracks (video, audio, text) on GPU nodes to composite the final output.
- Export & Polling: Once the render is initiated, the skill polls the proxy service every 30 seconds until a high-quality download URL is provided.
Dzine AI Setup
To get started with Dzine AI in your Openclaw Skills environment, ensure your API token is configured correctly:
# Set your Nemo Video token
export NEMO_TOKEN="your_token_here"
# Ensure configuration paths exist
mkdir -p ~/.config/nemovideo/
The skill will automatically handle re-authentication and session management if the token is present.
Dzine AI Data Schema & Taxonomy
The skill organizes video projects using a structured draft system that maps tracks and metadata:
| Field | Description | Type Mapping |
|---|---|---|
t |
Tracks | Array of media layers |
tt |
Track Type | 0: Video, 1: Audio, 7: Text |
sg |
Segments | Defined clips within a track |
d |
Duration | Time in milliseconds (ms) |
m |
Metadata | Additional properties for scaling/positioning |
Exported files are typically 1080p H.264 MP4 files optimized for social platform compatibility.
Dzine AI Advanced Features
- SSE Stream Processing: Real-time feedback from the AI engine during complex generation tasks.
- Automated Session Recovery: Maintains project state across interactions, allowing for iterative refinement of video timelines.
- Multi-Track Compositing: Support for simultaneous management of video, BGM, and text overlay layers.
- Headless GPU Export: Offloads resource-intensive rendering to remote lambda functions to save local CPU/GPU cycles.
- Smart Status Polling: Intelligent monitoring of render jobs with automatic error handling for credit limits and rate caps.
SKILL.md
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