Stable Diffusion NCNN

Name: Stable Diffusion NCNN
Author: chentyjpm

CPU-based Stable Diffusion image generation using the ncnn framework for offline text-to-image workflows

chentyjpm 18

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This server provides CPU-based Stable Diffusion image generation capabilities through the ncnn neural network inference framework, enabling offline text-to-image generation without GPU requirements. Built in C++ as a stdio-based MCP server, it exposes a text-to-image tool that accepts prompts and generates PNG images with configurable parameters including dimensions, inference steps, seed control, and multiple output formats. The implementation leverages ncnn's lightweight inference engine to run stable diffusion models entirely on CPU, making it valuable for environments where GPU access is limited or unavailable, edge computing scenarios, and developers who need local image generation without cloud dependencies.

Source

Repository: https://github.com/chentyjpm/ncnn_llm-mcp-sdimggen

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