image-gen MCP Server

A MCP server that provides text-to-image generation capabilities using Stable Diffusion WebUI API (ForgeUI/AUTOMATIC-1111).

<a href="https://glama.ai/mcp/servers/@Ichigo3766/image-gen-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@Ichigo3766/image-gen-mcp/badge" alt="Image Generation Server MCP server" /> </a>

Installation

Prerequisites

• Node.js
• Access to a Stable Diffusion WebUI instance with API enabled
• The WebUI must have --api flag enabled when starting

Setup

1. Clone the repository:

git clone https://github.com/Ichigo3766/image-gen-mcp.git
cd image-gen-mcp

2. Install dependencies:

npm install

3. Build the server:

npm run build

4. Add the server configuration to your environment:

{
  "mcpServers": {
    "image-gen": {
      "command": "node",
      "args": [
        "/path/to/image-gen-mcp/build/index.js"
      ],
      "env": {
        "SD_WEBUI_URL": "http://your-sd-webui-url:7860",
        "SD_AUTH_USER": "your-username",  // Optional: if authentication is enabled
        "SD_AUTH_PASS": "your-password",  // Optional: if authentication is enabled
        "SD_OUTPUT_DIR": "/path/to/output/directory",
        "SD_RESIZE_MODE": "0",           // Optional: upscaling mode (0=multiplier, 1=dimensions)
        "SD_UPSCALE_MULTIPLIER": "4",    // Optional: default upscale multiplier
        "SD_UPSCALE_WIDTH": "512",       // Optional: default upscale width
        "SD_UPSCALE_HEIGHT": "512",      // Optional: default upscale height
        "SD_UPSCALER_1": "R-ESRGAN 4x+", // Optional: default primary upscaler
        "SD_UPSCALER_2": "None"          // Optional: default secondary upscaler
      }
    }
  }
}

Replace the environment variables with your values:

• SD_WEBUI_URL: URL of your Stable Diffusion WebUI instance
• SD_AUTH_USER: Username for basic auth (if enabled)
• SD_AUTH_PASS: Password for basic auth (if enabled)
• SD_OUTPUT_DIR: Directory where generated images will be saved
• SD_RESIZE_MODE: Default upscaling mode (0 for multiplier, 1 for dimensions)
• SD_UPSCALE_MULTIPLIER: Default upscale multiplier when resize_mode is 0
• SD_UPSCALE_WIDTH: Default target width when resize_mode is 1
• SD_UPSCALE_HEIGHT: Default target height when resize_mode is 1
• SD_UPSCALER_1: Default primary upscaler model
• SD_UPSCALER_2: Default secondary upscaler model

Features

Tools

• generate_image - Generate images using Stable Diffusion

  • Parameters:
    • prompt (required): Text description of the desired image
    • negative_prompt: Things to exclude from the image
    • steps: Number of sampling steps (default: 4, range: 1-150)
    • width: Image width (default: 1024, range: 512-2048)
    • height: Image height (default: 1024, range: 512-2048)
    • cfg_scale: CFG scale (default: 1, range: 1-30)
    • sampler_name: Sampling algorithm (default: "Euler")
    • scheduler_name: Scheduler algorithm (default: "Simple")
    • seed: Random seed (-1 for random)
    • batch_size: Number of images to generate (default: 1, max: 4)
    • restore_faces: Enable face restoration
    • tiling: Generate tileable images
    • output_path: Custom output path for the generated image

• get_sd_models - Get list of available Stable Diffusion models

  • No parameters required
  • Returns an array of model names

• set_sd_model - Set the active Stable Diffusion model

  • Parameters:
    • model_name (required): Name of the model to set as active

• get_sd_upscalers - Get list of available upscaler models

  • No parameters required
  • Returns an array of upscaler names

• upscale_images - Upscale one or more images using Stable Diffusion

  • Parameters:
    • images (required): Array of image file paths to upscale
    • resize_mode: 0 for multiplier mode, 1 for dimension mode (default: from env)
    • upscaling_resize: Upscale multiplier when resize_mode=0 (default: from env)
    • upscaling_resize_w: Target width in pixels when resize_mode=1 (default: from env)
    • upscaling_resize_h: Target height in pixels when resize_mode=1 (default: from env)
    • upscaler_1: Primary upscaler model (default: from env)
    • upscaler_2: Secondary upscaler model (default: from env)
    • output_path: Custom output directory for upscaled images

Development

For development with auto-rebuild:

npm run watch

Error Handling

Common issues and solutions:

1. Make sure your Stable Diffusion WebUI is running with the --api flag
2. Check if the WebUI URL is accessible from where you're running the MCP server
3. If using authentication, ensure credentials are correct
4. Verify the output directory exists and has write permissions
5. When upscaling, ensure the input image files exist and are readable

License

This MCP server is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.