About Aiimagemultistyle
Aiimagemultistyle is an MCP server for generating and editing images with fal.ai's Stable Diffusion model. It supports a range of artistic styles and image sizes, along with batch generation, upscaling, and masked search-and-replace.
Key features
- 01Generate images from text prompts
- 02Choose from multiple artistic styles
- 03Set image size and generate up to four
- 04Upscale images by 4x
- 05Replace masked image areas
- 06Detect NSFW content
Use cases
- 01Create stylized images from descriptions
- 02Generate several image variations in one request
- 03Increase an image's resolution
- 04Edit selected regions using a mask
MCP support
Exposes image generation, upscaling, and search-and-replace capabilities to MCP clients. It can run in STDIO or REST mode.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
3Saved tool list · updated 2w ago
| Parameter | Type | Required | Description |
|---|---|---|---|
| num_images | number | No | Number of images to generate (1-4) |
| prompt | string | Yes | The prompt to generate the image from |
| size | enum | No | Image sizesquare | square_hd | portrait_4_3 | portrait_16_9 | landscape_4_3 | landscape_16_9 |
| style | enum | No | Image styleghibli-style | pixar-style | pokemon-style | genshin-impact-style | cyberpunk-style | one-piece-style | attack-on-titan-style | shinkai-makoto-style | sailor-moon-style | evangelion-style | disney-princess-style | kyoto-animation-style | dreamworks-animation-style | marvel-studios-style | dc-comics-style | kawaii-pastel-style | simpsons-style | dragon-ball-style | demon-slayer-style | warner-bros-animation-style | dark-fantasy-style | pixar-art-style | toei-animation-style | hayao-miyazaki-style | makoto-shinkai-style | katsuhiro-otomo-style | mamoru-hosoda-style | goro-miyazaki-style | masaaki-yuasa-style | shinichiro-ushijima-style | naoko-yamada-style | taichi-ishidate-style | isao-takahata-style | hiromasa-yonebayashi-style | japanese-anime-style |
Details
From the project READMEMCP Image Generator
A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.
Features
- Generate high-quality images from text prompts
- Support for multiple anime and artistic styles:
- Ghibli Style
- Pixar Style
- Pokemon Style
- Genshin Impact Style
- Cyberpunk Style
- One Piece Style
- Attack on Titan Style
- Shinkai Makoto Style
- Sailor Moon Style
- Evangelion Style
- Disney Princess Style
- Kyoto Animation Style
- Dreamworks Animation Style
- Marvel Studios Style
- DC Comics Style
- Kawaii Pastel Style
- Simpsons Style
- Dragon Ball Style
- Demon Slayer Style
- Warner Bros Animation Style
- Dark Fantasy Style
- And many more Japanese anime styles
- Multiple image size options:
- Square (512x512)
- Square HD (1024x1024)
- Portrait 4:3 (768x1024)
- Portrait 16:9 (576x1024)
- Landscape 4:3 (1024x768)
- Landscape 16:9 (1024x576)
- Generate multiple images in one request (up to 4)
- Image upscaling (4x resolution enhancement)
- Image search and replace functionality
- Built-in NSFW content detection
Installation
- Clone the repository:
git clone [repository-url]
cd aiimagemultistyle
- Install dependencies:
npm install
- Configure environment variables:
Create a
.envfile with the following content:
FALAI_API_KEY=your_fal_ai_key_here
Usage
MCP Server Configuration
To use the MCP Image Generator server, add it to your mcpServers configuration:
{
"mcpServers": {
"image-generator": {
"command": "npx",
"args": ["-y", "aiimagemultistyle"]
}
}
}
You can also specify additional configuration options:
{
"mcpServers": {
"image-generator": {
"command": "npx",
"args": [
"-y",
"aiimagemultistyle",
"--mode=rest",
"--port=9593",
"--endpoint=/rest"
],
"env": {
"FALAI_API_KEY": "your_fal_ai_key_here"
}
}
}
}
Starting the Server
The server can run in two modes:
- STDIO mode (default):
npm start
- REST mode:
npm start -- --mode=rest --port=9593 --endpoint=/rest
API Reference
Generate Image
Request Format:
{
"name": "generate_image",
"arguments": {
"prompt": "A beautiful sunset over mountains",
"style": "ghibli-style",
"num_images": 1,
"size": "square_hd"
}
}
Parameters:
prompt(required): Text description of the image to generatestyle(optional): Image style (default: "ghibli-style")- Available styles: See the Features section above for the complete list
num_images(optional): Number of images to generate (1-4, default: 1)size(optional): Image size (default: "square_hd")- Available sizes: "square", "square_hd", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"
Upscale Image
Request Format:
{
"name": "upscale_image",
"arguments": {
"image_url": "https://example.com/image.jpg"
}
}
Parameters:
image_url(required): URL of the image to upscale
Search and Replace
Request Format:
{
"name": "search-and-replace",
"arguments": {
"image_url": "https://example.com/image.jpg",
"mask_url": "https://example.com/mask.jpg",
"prompt": "Description of the replacement"
}
}
Parameters:
image_url(required): URL of the image to editmask_url(required): URL of the mask image (black areas preserved, white areas inpainted)prompt(required): Description of the replacement content
Development
npm run build: Build the projectnpm run watch: Watch mode for developmentnpm run inspector: Run MCP inspector
Error Handling
The server provides detailed error messages for common issues:
- Missing API key
- Invalid prompt
- Invalid style or size parameters
- API request failures
- NSFW content detection
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.