CLOUDWERX-DEV/DiffuGen

3.4

If you are the rightful owner of DiffuGen and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

DiffuGen is an advanced local image generator with MCP integration, designed to seamlessly integrate AI art generation into development workflows using Flux and Stable Diffusion models.

MCPHub score:3.41

Has a README

Github repo has a README.md.

Has a License

Github repo has license info.

Server can be inspected

Currently can not be tried on MCPHub.

Server schema can be extracted

Can get at lease one tool info from the README or server.

Online hosted on MCPHub

More deployment information is needed.

Has social accounts

Has X or Discord account.

Claimed by the author or certified by MCPHub

If you are the author, claim authorship

Author

CLOUDWERX-DEV

Claim Ownership

Verify you have write access to the repository

Repository

https://github.com/CLOUDWERX-DEV/DiffuGen

Homepage

http://cloudwerx.dev

GitHub Stars

Discord

https://discord.gg/SvZFuufNTQ

License

MIT License

Last publish date

2025-03-11

Last update date

2025-07-01

Server configs

in cursor

{
  "mcpServers": {
    "diffugen": {
      "command": "/home/cloudwerxlab/Desktop/Servers/MCP/Tools/DiffuGen/diffugen.sh",
      "args": [],
      "env": {
        "CUDA_VISIBLE_DEVICES": "0",
        "SD_CPP_PATH": "path/to/stable-diffusion.cpp",
        "default_model": "flux-schnell"
      },
      "resources": {
        "models_dir": "path/to/stable-diffusion.cpp/models",
        "output_dir": "path/to/outputs",
        "vram_usage": "adaptive"
      },
      "metadata": {
        "name": "DiffuGen",
        "version": "1.0",
        "description": "Your AI art studio embedded directly in code. Generate, iterate, and perfect visual concepts through this powerful MCP server for Cursor, Windsurf, and other compatible IDEs, utilizing cutting-edge Flux and Stable Diffusion models without disrupting your development process.",
        "author": "CLOUDWERX LAB",
        "homepage": "https://github.com/CLOUDWERX-DEV/diffugen",
        "usage": "Generate images using two primary methods:\n1. Standard generation: 'generate an image of [description]' with optional parameters:\n   - model: Choose from flux-schnell (default), flux-dev, sdxl, sd3, sd15\n   - dimensions: width and height (default: 512x512)\n   - steps: Number of diffusion steps (default: 20, lower for faster generation)\n   - cfg_scale: Guidance scale (default: 7.0, lower for more creative freedom)\n   - seed: For reproducible results (-1 for random)\n   - sampling_method: euler, euler_a (default), heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, lcm\n   - negative_prompt: Specify elements to avoid in the image\n2. Quick Flux generation: 'generate a flux image of [description]' for faster results with fewer steps (default: 4)"
      },
      "cursorOptions": {
        "autoApprove": true,
        "category": "Image Generation",
        "icon": "🖼️",
        "displayName": "DiffuGen"
      }
    }
  }
}

in windsurf

{
  "mcpServers": {
    "diffugen": {
      "command": "/home/cloudwerxlab/Desktop/Servers/MCP/Tools/DiffuGen/diffugen.sh",
      "args": [],
      "env": {
        "CUDA_VISIBLE_DEVICES": "0",
        "SD_CPP_PATH": "path/to/stable-diffusion.cpp",
        "default_model": "flux-schnell"
      },
      "resources": {
        "models_dir": "path/to/stable-diffusion.cpp/models",
        "output_dir": "path/to/outputs",
        "vram_usage": "adaptive"
      },
      "metadata": {
        "name": "DiffuGen",
        "version": "1.0",
        "description": "Your AI art studio embedded directly in code. Generate, iterate, and perfect visual concepts through this powerful MCP server for Cursor, Windsurf, and other compatible IDEs, utilizing cutting-edge Flux and Stable Diffusion models without disrupting your development process.",
        "author": "CLOUDWERX LAB",
        "homepage": "https://github.com/CLOUDWERX-DEV/diffugen",
        "usage": "Generate images using two primary methods:\n1. Standard generation: 'generate an image of [description]' with optional parameters:\n   - model: Choose from flux-schnell (default), flux-dev, sdxl, sd3, sd15\n   - dimensions: width and height (default: 512x512)\n   - steps: Number of diffusion steps (default: 20, lower for faster generation)\n   - cfg_scale: Guidance scale (default: 7.0, lower for more creative freedom)\n   - seed: For reproducible results (-1 for random)\n   - sampling_method: euler, euler_a (default), heun, dpm2, dpm++2s_a, dpm++2m, dpm++2mv2, lcm\n   - negative_prompt: Specify elements to avoid in the image\n2. Quick Flux generation: 'generate a flux image of [description]' for faster results with fewer steps (default: 4)"
      },
      "windsurfOptions": {
        "displayName": "DiffuGen",
        "icon": "🖼️",
        "category": "Creative Tools"
      }
    }
  }
}

Top Comments

Related MCP Servers

View all ai_chatbot servers →

claude-task-master

4.7

by eyaltoledano

Task Master is a task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI.

CLOUDWERX-DEV/DiffuGen

Has a README

Has a License

Server can be inspected

Server schema can be extracted

Online hosted on MCPHub

Has social accounts

Claimed by the author or certified by MCPHub

Related MCP Servers

claude-task-master

biomcp

mindsdb

elevenlabs-mcp

paelladoc

mcp-notion-server

pg-mcp-server

tavily-mcp

HowToCook-mcp

runno MCP

jinni

google-docs-mcp

mcp-server-gemini

mcp-server-reddit

rails-mcp-server

bazi-mcp

ai-agent-marketplace-index-mcp

mem0-mcp

gateway

modelcontextprotocol

square-mcp-server

hyper-mcp

NASA-MCP-server

claude-prompts-mcp

tiktok-mcp

ableton-mcp

unity-mcp