An advanced AI-driven tool for blending, morphing, and transforming faces into realistic images or smooth video animations.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install face-morphing
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 face-morphing 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 Face Morphing AI?
The Face Morphing skill is a specialized tool within the Openclaw Skills ecosystem designed to facilitate complex facial transformations using the each::sense AI. It allows developers to programmatically merge multiple faces, perform gender swaps, and generate predictive imagery such as family resemblances or child appearances based on parent photos.
By leveraging this skill, users can access high-tier image processing capabilities without needing to manage underlying machine learning models. Whether you are building an application for digital entertainment or genealogical visualization, this addition to your Openclaw Skills library provides the precision needed for photorealistic results and fluid transitions.
Face Morphing AI Use Cases
- Creating seamless 50/50 blends between two distinct individuals.
- Generating child face predictions by analyzing facial features from two parent images.
- Producing smooth 3-second morph animations for video content and social media.
- Modernizing historical portraits by applying contemporary photography styles and textures.
- Visualizing genetic similarities through family resemblance generators across multiple generations.
How Face Morphing AI Works
- Provide high-resolution source image URLs (at least 512x512) to the each::sense API endpoint.
- Define specific transformation parameters in the text prompt, such as blend ratios or feature focus (e.g., taking the jawline from one image and eyes from another).
- Choose a processing mode: max for high-quality final outputs or eco for rapid testing and previews.
- Utilize session IDs to perform multi-turn iterations, refining the morph based on previous results until the desired output is achieved.
Face Morphing AI Setup
To get started with this skill in your Openclaw Skills setup, ensure you have an API key from eachlabs.ai. Set your environment variable and use the following base command structure:
export EACHLABS_API_KEY='your_api_key_here'
curl -X POST https://sense.eachlabs.run/chat \
-H 'Content-Type: application/json' \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"message": "Morph these two faces together, 50% each",
"image_urls": ["URL_1", "URL_2"],
"mode": "max"
}'
Face Morphing AI Data Schema & Taxonomy
The skill processes data through a structured JSON payload to ensure compatibility with Openclaw Skills workflows. Below is the metadata taxonomy for requests:
| Parameter | Type | Description |
|---|---|---|
message |
String | Detailed instructions for the morphing logic and style. |
image_urls |
Array | List of source image links to be processed. |
mode |
String | Selection between max (quality) and eco (speed). |
session_id |
String | Unique identifier for iterative adjustments and multi-turn edits. |
image_assets |
Metadata | Output contains generated image or video transition paths. |
Face Morphing AI Advanced Features
- Multi-Turn Creative Iteration: Use session tracking to refine specific facial features like eye shape or jawlines across multiple requests.
- Variable Blend Ratios: Specify exact percentages (e.g., 70/30) for nuanced feature integration.
- Automated Video Morphing: Generate intermediate frames to create fluid transitions between two static images.
- Statistical Averaging: Process multiple inputs to create a statistically average face representing a specific group or family line.
SKILL.md
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