DiffuGen - Advanced Local Image Generator with MCP Integration

@CLOUDWERX-DEV

代码仓库主页

基本信息

分类

媒体与设计

许可证

MIT

传输方式

stdio

作者

CLOUDWERX-DEV

关于 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

#flux #image #ai #server #code #mcp#stable#generation #cursor#roo#diffusion#cline#schnell#sd#windsurf #generative-ai #comfyui #mcpserver

DiffuGen - Advanced Local Image Generator with MCP Integration 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

DiffuGen - Advanced Local Image Generator with MCP Integration 工具

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工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

Key features of DiffuGen

Supports Flux Schnell, Flux Dev, SDXL, SD3, and SD1.5 models
Integrates with MCP-compatible IDEs (Cursor, Windsurf, etc.)
OpenAPI REST server for direct HTTP access
Cross-platform on Linux, macOS, and Windows (native or WSL)
Fine-tune dimensions, steps, CFG scale, seed, and negative prompts
CUDA acceleration for faster generation
Natural language command interface
Smart error recovery and resource tracking

Use cases of DiffuGen

Generate visual concepts directly from code comments or chat prompts
Quickly iterate on image ideas without leaving the development environment
Create custom assets for UI mockups, game sprites, or illustrations
Batch generate image variations for design exploration or A/B testing

常见问题

What are the minimum system requirements?

CPU: 4-core processor, 8GB RAM, 5GB storage, Python 3.8+. Recommended: 8+ core CPU, 16GB RAM, NVIDIA GPU with 6GB+ VRAM.

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