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Flux Image Generator: Instant AI Art from Ideas - MCP Implementation

Flux Image Generator: Instant AI Art from Ideas

Flux Image Generator: Turn ideas into jaw-dropping visuals in seconds. AI-powered magic that’s as intuitive as doodling—your imagination just got a turbo boost.

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Ranked in the top 10% of all AI tools in its category

About Flux Image Generator

What is Flux Image Generator: Instant AI Art from Ideas?

Flux Image Generator is an MCP (Model Context Protocol) server designed to transform textual ideas into high-quality AI-generated images using Black Forest Lab's advanced FLUX model. It provides developers and artists with a streamlined interface to create, customize, and manage image outputs through a server-based workflow. The tool supports flexible configurations, batch processing, and integration with MCP-compatible clients like Claude, making it ideal for creative and technical projects alike.

How to Use Flux Image Generator: Instant AI Art from Ideas?

To start using Flux Image Generator, first ensure Node.js (v18.0.0+) and a Black Forest Lab API key are available. Installation can be done via npm or by cloning the repository and building locally. After configuring the environment variables, launch the server and integrate it with your preferred MCP client by specifying the server command and API key in your configuration file. Users can then execute image generation commands through three primary tools: generateImage for detailed customization, quickImage for rapid results, and batchGenerateImages for processing multiple requests at once.

Flux Image Generator Features

Key Features of Flux Image Generator: Instant AI Art from Ideas?

  • Text-to-image generation powered by FLUX model
  • Customizable parameters (e.g., size, style, output format)
  • Local storage and remote access options for generated assets
  • Batch processing of up to 10 concurrent requests
  • Comprehensive error-handling with policy violation alerts
  • Mit license for open-source integration

Use Cases of Flux Image Generator: Instant AI Art from Ideas?

Flux Image Generator FAQ

FAQ from Flux Image Generator: Instant AI Art from Ideas?

Q: How do I obtain a Black Forest Lab API key?
Visit their official portal to register and retrieve your credentials.

Q: Can I adjust image dimensions dynamically?
Yes, specify width and height parameters within the generateImage request payload.

Q: What happens if content violates policies?
Requests are blocked with clear error messages, as shown in batch response examples.

Q: Is GPU acceleration required?
While not mandatory, performance improves significantly with compatible hardware setups.

Content

FLUX Image Generator MCP Server

An MCP (Model Context Protocol) server for generating images using Black Forest Lab's FLUX model. Uses the latest MCP SDK (v1.7.0).

Features

  • Generate images based on text prompts
  • Customize image dimensions, prompt upsampling, and safety settings
  • Save generated images locally
  • Batch image generation from multiple prompts

Prerequisites

Installation

From Source

  1. Clone this repository
  2. Install dependencies:
npm install
  1. Create a .env file based on .env.example and add your Black Forest Lab API key:
BFL_API_KEY=your_api_key_here
  1. Build the project:
npm run build

Using npm

npm install -g @modelcontextprotocol/server-flux-image-generator

Usage

Starting the MCP Server

Start the server with:

npm start

For development with auto-recompilation:

npm run watch

Integrating with MCP Clients

To use this server with MCP clients (like Claude), add the following to your client's configuration:

{
  "mcpServers": {
    "flux-image-generator": {
      "command": "mcp-server-flux-image-generator",
      "env": {
        "BFL_API_KEY": "your_api_key_here"
      }
    }
  }
}

Available Tools

generateImage

Generates an image based on a text prompt with customizable settings.

Parameters:

  • prompt (string, required): Text description of the image to generate
  • width (number, optional, default: 1024): Width of the image in pixels
  • height (number, optional, default: 1024): Height of the image in pixels
  • promptUpsampling (boolean, optional, default: false): Enhance detail by upsampling the prompt
  • seed (number, optional): Random seed for reproducible results
  • safetyTolerance (number, optional, default: 3): Content moderation tolerance (1-5)

Example:

{
  "prompt": "A serene lake at sunset with mountains in the background",
  "width": 1024,
  "height": 768,
  "promptUpsampling": true,
  "seed": 12345,
  "safetyTolerance": 3
}

quickImage

A simplified tool for quickly generating images with default settings.

Parameters:

  • prompt (string, required): Text description of the image to generate

Example:

{
  "prompt": "A futuristic cityscape with flying cars"
}

batchGenerateImages

Generates multiple images from a list of prompts.

Parameters:

  • prompts (array of strings, required): List of text prompts (maximum 10)
  • width (number, optional, default: 1024): Width of the images
  • height (number, optional, default: 1024): Height of the images

Example:

{
  "prompts": [
    "A serene lake at sunset",
    "A futuristic cityscape",
    "A magical forest with glowing plants"
  ],
  "width": 1024,
  "height": 768
}

Output Format

All tools return responses in this format:

{
  "image_url": "https://storage.example.com/generated_image.jpg",
  "local_path": "/path/to/output/flux_1234567890.png"
}

For errors:

{
  "error": true,
  "message": "Error description"
}

The batch tool returns:

{
  "total": 3,
  "successful": 2,
  "failed": 1,
  "results": [
    {
      "prompt": "A serene lake at sunset",
      "success": true,
      "image_url": "https://storage.example.com/image1.jpg",
      "local_path": "/path/to/output/flux_batch_1234567890_0.png"
    },
    {
      "prompt": "A futuristic cityscape",
      "success": true,
      "image_url": "https://storage.example.com/image2.jpg",
      "local_path": "/path/to/output/flux_batch_1234567890_1.png"
    },
    {
      "prompt": "Prohibited content",
      "success": false,
      "error": "Content policy violation"
    }
  ]
}

License

MIT

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