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DiffuGen - Advanced Local Image Generator with MCP Integration

@CLOUDWERX-DEV

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DiffuGen - Advanced Local Image Generator with MCP Integration について

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

基本情報

カテゴリ

メディアとデザイン

ライセンス

MIT

ランタイム

shell

トランスポート

stdio

公開者

CLOUDWERX-DEV

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from DiffuGen

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.

How do I install DiffuGen?

コメント

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