Flux
0
Enables language models to generate images using SiliconFlow FLUX models via a Python-based MCP server.
About
This Python-based MCP server facilitates image generation using SiliconFlow FLUX models. Built with Python, `mcp-sdk`, and the `FastMCP` framework, it's designed for Streamable HTTP transport and can be deployed as a standalone HTTP service, either in a Docker container or directly on physical/virtual machines. It offers configurable image generation parameters, API key rotation for enhanced reliability, and intelligent parameter handling for compatibility with various MCP clients.
Key Features
- Includes Dockerfile for simplified container deployment.
- Offers customizable image parameters like aspect ratio, inference steps, and seed.
- Supports multiple SiliconFlow FLUX models.
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- Provides a `generate_image` tool to MCP clients.
- Implements API key rotation for enhanced service reliability.
Use Cases
- Automating image creation workflows with configurable parameters.
- Self-hosting an image generation service using SiliconFlow models.
- Integrating image generation capabilities into language model applications.