WeShop Face Forge for Openclaw

A high-fidelity AI skill for professional face morphing, face swapping, and text-to-portrait generation via the WeShop API.

sparkleming
v1.0.0
Apr 17, 2026
0
240
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install face-forge-openapi-skill

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 face-forge-openapi-skill 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 WeShop Face Forge?

Face Forge is a specialized tool within the Openclaw Skills ecosystem designed for sophisticated image manipulation and portrait generation. It leverages the WeShop OpenAPI to perform high-quality face morphing and swapping, allowing developers to create hyper-realistic human portraits or transform existing images with precision. The skill supports advanced parameters, including multiple model selections like jimeng and nano, to cater to different resolution and aspect ratio requirements.

By integrating this skill, AI agents can automate complex creative tasks such as generating professional-grade avatars or modifying visual content based on specific text descriptions. As part of the Openclaw Skills collection, it provides a standardized way to interact with powerful image processing models, ensuring consistent output and secure API management for modern development workflows.

WeShop Face Forge Use Cases

  • Automating the creation of realistic AI avatars for branding and marketing campaigns.
  • Performing high-accuracy face swaps in professional photography and media production.
  • Generating custom portraits from text descriptions for e-commerce and digital assets.
  • Batch processing image transformations for large-scale creative projects using Openclaw Skills.

How WeShop Face Forge Works

  1. Provide the AI agent with a reference image URL or upload a local file to the WeShop assets endpoint.
  2. Initiate a generation task by specifying the face-forge agent and desired parameters like textDescription and batchCount.
  3. The skill sends a POST request to the WeShop OpenAPI to begin the processing run.
  4. Monitor the task progress by polling the execution ID, which transitions through states like Pending, Segmenting, and Running.
  5. Once the status reaches Success, retrieve the final transformed image URLs from the execution results.

WeShop Face Forge Setup

To get started with this skill in your Openclaw Skills environment, follow these steps:

  1. Obtain your API key from the WeShop Authorization Page.
  2. Set the API key as an environment variable in your terminal:
export WESHOP_API_KEY="your_actual_api_key"
  1. Ensure your agent has outbound HTTPS access to openapi.weshop.ai for endpoint communication.

WeShop Face Forge Data Schema & Taxonomy

The Face Forge skill utilizes a structured JSON format for requests and status tracking. Below is the primary data organization:

Component Type Description
Input Images Array Up to 3 reference URLs for face swapping or morphing.
Run Parameters Object Configures textDescription, modelName, and imageSize.
Polling Status String Tracks lifecycle: Pending, Segmenting, Running, Success, or Failed.
Result Data Array Contains the generated image URLs upon successful completion.

WeShop Face Forge Advanced Features

  • Multi-model support allowing selection between jimeng (standard) and nano (high-resolution) models.
  • Comprehensive output control with support for resolution up to 4K and various aspect ratios like 16:9 or 21:9.
  • Efficient batch processing enabling the generation of up to 16 images in a single execution via Openclaw Skills.
  • Secure credential management that prioritizes environment variables over manual user input for API keys.

SKILL.md


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