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Awesome GitHub RepositoriesLocal Execution Optimizations
Hardware-specific optimizations for running diffusion models on consumer-grade local hardware.
Distinct from Diffusion Models: Focuses on the execution efficiency and memory reduction for local hardware rather than the general model interface.
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Awesome Local Execution Optimizations GitHub Repositories
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- leejet/stable-diffusion.cpp
leejet/stable-diffusion.cpp
5,430在 GitHub 上查看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
Optimizes the execution of Stable Diffusion models on consumer hardware to reduce memory consumption.
C++aicplusplusdiffusion
