DiffuGen - Advanced Local Image Generator with MCP Integration

Name: DiffuGen - Advanced Local Image Generator with MCP Integration
Author: CLOUDWERX-DEV

@CLOUDWERX-DEV

About DiffuGen - Advanced Local Image Generator with MCP Integration

DiffuGen is a powerful yet user-friendly interface for local\edge image generation. Built on the Model Control Protocol (MCP), it provides a seamless way to interact with various Stable Diffusion models including Flux, SDXL, SD3, and SD1.5. Diffugen also features an OpenAPI Serve

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Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "DiffuGen": {
      "command": "python3",
      "args": [
        "-m",
        "venv",
        "diffugen_env"
      ]
    }
  }
}

Tools

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Overview

What is DiffuGen?

DiffuGen is an MCP-based image generation server that brings Flux and Stable Diffusion models directly into development environments such as Cursor, Windsurf, Roo Code, and Cline. Built on the optimized stable-diffusion.cpp library, it enables local AI image generation with high performance on modest hardware.

How to use DiffuGen?

After cloning the repository, run the interactive setup script (./setup_diffugen.sh) to install dependencies, build stable-diffusion.cpp, and download models. Configure your IDE’s MCP settings using the provided diffugen.json template. Once connected, ask the LLM to generate images with natural language; the server exposes two tools: generate_stable_diffusion_image and generate_flux_image.