Transform text prompts and images into cinematic videos using over 165 specialized AI models through a unified API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install eachlabs-video-generation
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 eachlabs-video-generation 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 EachLabs Video Generation?
EachLabs Video Generation is a powerful skill designed to bridge the gap between creative prompts and high-fidelity video content. By leveraging the EachLabs Predictions API, this skill provides access to an extensive library of over 165 AI models, including industry leaders like Sora 2, Kling v2.6, and Pixverse. Whether you are building an automated content pipeline or a creative tool, this Openclaw Skills integration simplifies the complexity of multi-model video synthesis.
The skill supports a vast range of generation modes, from standard text-to-video and image-to-video to more complex tasks like motion control, smooth transitions, and AI-driven talking heads. It is engineered for developers who need reliable, scalable, and high-quality video output without managing individual model infrastructures.
EachLabs Video Generation Use Cases
- Automating social media content creation from text-based scripts or static brand imagery.
- Generating cinematic b-roll for marketing videos using high-end models like Sora 2 or Veo 3.
- Creating AI-powered avatars and talking heads for personalized messaging or educational content.
- Implementing smooth transitions and motion-controlled animations for professional-grade video editing.
- Prototyping visual concepts quickly using fast, low-latency models like LTX v2.
How EachLabs Video Generation Works
- Identify the target model by validating it against the EachLabs model registry to retrieve specific input schemas.
- Initialize a prediction request by sending a POST request containing the model slug and input parameters like prompts or image URLs.
- Monitor the generation progress by polling the prediction status endpoint until the state reaches success or failure.
- Retrieve the final video asset via the generated output URL for immediate use or further processing.
EachLabs Video Generation Setup
To get started, you need an API key from EachLabs. Set the environment variable or include it in your request headers.
export EACHLABS_API_KEY='your_api_key_here'
You can then initiate a basic text-to-video generation using the following command:
curl -X POST https://api.eachlabs.ai/v1/prediction \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"model": "pixverse-v5-6-text-to-video",
"version": "0.0.1",
"input": {
"prompt": "A futuristic city at night",
"resolution": "720p"
}
}'
EachLabs Video Generation Data Schema & Taxonomy
The skill interacts with the EachLabs API using a JSON-based request and response structure. Input schemas vary by model but typically include the following fields:
| Parameter | Type | Description |
|---|---|---|
model |
String | The unique slug for the AI model (e.g., kling-v2-6-pro) |
input |
Object | Model-specific parameters like prompt, image_url, or duration |
status |
String | The current state of the prediction (starting, processing, success, failed) |
output |
String | The URL of the generated video file upon success |
All Openclaw Skills implementations should check the request_schema via the model metadata endpoint to ensure parameter compatibility.
EachLabs Video Generation Advanced Features
- Support for motion control parameters to define camera paths and character orientations.
- Multi-model orchestration allowing users to switch between 165+ specialized AI engines.
- Reference-based generation for consistent character or style application across videos.
- Lip-sync and full-body animation for creating realistic AI avatars from audio inputs.
- Advanced interpolation for creating smooth transitions between two distinct images.
SKILL.md
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