stable-diffusion.cpp is a high-performance C++ inference engine designed for generating images and video from text prompts using Stable Diffusion models. It functions as a latent diffusion model runtime and a lightweight machine learning framework that enables local diffusion model execution on consumer hardware.
The project distinguishes itself as a CPU-based image generator capable of running without a dedicated GPU. It employs a specialized C++ tensor backend and cross-backend hardware abstraction to dispatch compute tasks across different processor instruction sets and graphics APIs.
The engine covers a broad range of generative capabilities, including text-to-image generation, AI image editing, and super-resolution upscaling. It incorporates memory usage optimizations such as tiled decoding and low-level memory mapping to reduce hardware requirements.
The framework also includes utilities for model weight conversion, transforming weights between different storage formats to ensure compatibility across various runtimes.