Face Generator MCP Server: Diverse Faces & Streamlined Workflows

Generate diverse human faces of any shape/size effortlessly with our MCP Server—streamline workflows for gaming, ads, and creative projects!

Visit Repository

✨ Research And Data

4.7(80 reviews)

120 saves

56 comments

This tool saved users approximately 14416 hours last month!

About Face Generator MCP Server

What is Face Generator MCP Server: Diverse Faces & Streamlined Workflows?

Face Generator MCP Server is a specialized Model Context Protocol (MCP) server designed to streamline the creation of diverse human face images. Built on the foundational architecture of This Person Does Not Exist, it enables developers to generate customizable facial imagery with flexible output configurations, all while maintaining efficient workflow integration through standardized MCP protocols.

How to Use Face Generator MCP Server: Diverse Faces & Streamlined Workflows?

Integration follows a straightforward process:

Installation: Deploy the server via npm with npm install @dasheck0/face-generator.
Execution: Launch the server using npx face-generator.
Interaction: Leverage the generate_face tool through an MCP client, specifying parameters like output directory, image dimensions, and shape preferences.

Parameters such as borderRadius and fileName allow granular control over output specifics, ensuring seamless adaptation to project requirements.

Face Generator MCP Server Features

Key Features of Face Generator MCP Server: Diverse Faces & Streamlined Workflows?

This server offers robust customization capabilities:

Shape Diversity: Generate faces in square, circular, or rounded rectangle formats with transparent backgrounds for non-rectangular shapes.
Scalable Outputs: Define image dimensions between 256px to higher resolutions while maintaining aspect ratios.
Batch Processing: Automatically produce multiple images (default 1) with timestamped filenames for organized workflows.
Configurable Edges: Adjust border radius values to refine rounded shape aesthetics.

Use Cases of Face Generator MCP Server: Diverse Faces & Streamlined Workflows?

Practical applications include:

Developing avatars for virtual platforms requiring varied facial geometries.
Creating anonymized datasets for AI training without real-person data.
Testing UI/UX elements with standardized yet diverse face samples.
Generating placeholder content for marketing or prototyping phases.

Face Generator MCP Server FAQ

FAQ from Face Generator MCP Server: Diverse Faces & Streamlined Workflows?

Q: Can outputs be saved in specific formats?
A: Generated images default to PNG but adapt to client-side processing needs.
Q: How are edge cases handled (e.g., extreme border radii)?
A: The server enforces valid numerical ranges to prevent rendering failures.
Q: Is GPU acceleration supported?
A: While CPU-based by default, performance optimizations can be applied for high-volume workflows.

Content

Face Generator MCP Server

A Model Context Protocol (MCP) server for generating human face images using https://thispersondoesnotexist.com.

Features

Generate human face images
Multiple output shapes: square, circle, rounded rectangle
Configurable image dimensions
Transparent backgrounds for non-square shapes
Batch generation of multiple images

Installation

npm install @dasheck0/face-generator

Usage

As an MCP Server

Start the server:

npx face-generator

Use the generate_face tool through an MCP client.

Tool Parameters

outputDir: (required) Directory to save the images
fileName: Optional file name (defaults to timestamp)
count: Number of images to generate (default: 1)
width: Image width in pixels (default: 256)
height: Image height in pixels (default: 256)
shape: Image shape (square|circle|rounded, default: square)
borderRadius: Border radius for rounded shape (default: 32)

Example

{
  "outputDir": "./output",
  "count": 3,
  "width": 512,
  "height": 512,
  "shape": "circle"
}

License

MIT

Related MCP Servers & Clients

MCP Categories

Research And Data