image-gen MCP Server
by Ichigo3766
This MCP server provides text-to-image generation capabilities by leveraging the Stable Diffusion WebUI API (ForgeUI/AUTOMATIC-1111). It allows users to generate and upscale images using text prompts and various configuration options.
Last updated: N/A
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
- Clone the repository:
git clone https://github.com/Ichigo3766/image-gen-mcp.git
cd image-gen-mcp
- Install dependencies:
npm install
- Build the server:
npm run build
- 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 instanceSD_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 savedSD_RESIZE_MODE
: Default upscaling mode (0 for multiplier, 1 for dimensions)SD_UPSCALE_MULTIPLIER
: Default upscale multiplier when resize_mode is 0SD_UPSCALE_WIDTH
: Default target width when resize_mode is 1SD_UPSCALE_HEIGHT
: Default target height when resize_mode is 1SD_UPSCALER_1
: Default primary upscaler modelSD_UPSCALER_2
: Default secondary upscaler model
Features
Tools
-
generate_image
- Generate images using Stable Diffusion- Parameters:
prompt
(required): Text description of the desired imagenegative_prompt
: Things to exclude from the imagesteps
: 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 restorationtiling
: Generate tileable imagesoutput_path
: Custom output path for the generated image
- Parameters:
-
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
- Parameters:
-
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 upscaleresize_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
- Parameters:
Development
For development with auto-rebuild:
npm run watch
Error Handling
Common issues and solutions:
- Make sure your Stable Diffusion WebUI is running with the
--api
flag - Check if the WebUI URL is accessible from where you're running the MCP server
- If using authentication, ensure credentials are correct
- Verify the output directory exists and has write permissions
- 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.