Face Transform for Openclaw

A comprehensive AI-powered facial transformation suite for analysis, editing, and stylistic modification of portrait images.

germey
v1.0.0
Mar 22, 2026
0
819
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install acedatacloud-face-transform

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 acedatacloud-face-transform 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 Transform?

Face Transform is a sophisticated toolkit within the Openclaw Skills ecosystem designed to provide developers with professional-grade facial manipulation capabilities. By leveraging the AceDataCloud API, this skill enables AI agents to perform complex visual tasks such as landmark detection, gender swapping, and age progression through simple programmatic interfaces.

The skill excels at turning static portraits into dynamic assets. Whether you need to detect over 90 precise keypoints for biometric analysis or apply artistic filters like cartoonization, Face Transform offers a synchronous, high-performance solution. It bridges the gap between raw image data and actionable facial intelligence, making it an essential component for modern AI-driven creative workflows.

Face Transform Use Cases

  • Creating personalized avatars by converting real portraits into high-quality cartoon styles.
  • Implementing security layers using liveness detection to verify authentic human presence in photos.
  • Developing virtual try-on or entertainment apps using face swapping and gender transformation.
  • Enhancing portrait photography automatically through the beautification and age adjustment endpoints.
  • Extracting detailed facial landmarks for emotion analysis or research purposes.

How Face Transform Works

  1. The user provides a source image URL to the AI agent or via a direct API call.
  2. The Openclaw Skills interface authenticates the request using the ACEDATACLOUD_API_TOKEN.
  3. The system processes the image through the selected specialized endpoint (e.g., analyze, swap, or age).
  4. Advanced neural networks identify facial structures and apply the requested transformations synchronously.
  5. The skill returns a JSON response containing either the transformed image URL or detailed coordinate data for facial landmarks.

Face Transform Setup

To integrate Face Transform into your environment, ensure you have your API token ready from AceDataCloud. Configure your environment as follows:

# Set your authentication token
export ACEDATACLOUD_API_TOKEN="your-token-here"

# Test the connection with a face analysis request
curl -X POST https://api.acedata.cloud/face/analyze \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "https://example.com/portrait.jpg"}'

Face Transform Data Schema & Taxonomy

The skill utilizes a structured JSON schema for both inputs and outputs to ensure compatibility across various Openclaw Skills implementations.

Data Type Fields Description
Input image_url, target_image_url Source and destination image links
Keypoints nose, mouth, left_eye, contour Arrays of {x, y} coordinate objects
Results image_url The resulting transformed or beautified image
Meta liveness_score Confidence metric for liveness detection

Face Transform Advanced Features

  • Multi-face detection: Capability to identify and map 90+ keypoints for every face found in a single frame
  • Real-time liveness check: Distinguishes between a physical human presence and a screen-based or printed photo
  • High-fidelity swapping: Sophisticated blending algorithms for the /face/swap endpoint to match lighting and skin tone
  • Synchronous processing: Zero-latency workflow that removes the need for complex task polling or webhooks

SKILL.md


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