NCNN LLM Stable Diffusion Image Generator

About

This specialized tool acts as a backend executable for ncnn-llm, empowering it with robust text-to-image generation capabilities using Stable Diffusion. Built upon the ncnn deep learning inference framework, it offers a self-contained, offline solution for integrating advanced image generation into applications. It functions as an MCP (Multi-platform Communication Protocol) stdio server, communicating via JSON-RPC, making it highly adaptable for various deployment scenarios and facilitating the addition of visual creativity to AI-powered systems.

Key Features

• Offline Stable Diffusion (text-to-image) inference
• Support for key generation parameters (prompt, negative prompt, dimensions, seed, steps)
• 12 GitHub stars
• Flexible output options: base64 image encoding or saving to file
• Cross-platform build compatibility for Linux, macOS, and Windows
• JSON-RPC stdio server for seamless MCP integration

Use Cases

• Developing AI-powered creative tools that require local and efficient Stable Diffusion inference.
• Integrating text-to-image functionality into embedded or resource-constrained environments using ncnn.
• Enabling image generation features within large language model (LLM) applications like ncnn-llm.