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stable-diffusion.cpp
4.7
Free Highly efficient and versatile C++ implementation of Stable Diffusion, praised for its performance and cross-platform compatibility.
Diffusion model inference in pure C/C++ for various image and video models.
Free pricingUpdated 2026-03-17
Best fits
Image GenerationVideo Generation
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About stable-diffusion.cpp
stable-diffusion.cpp is a C/C++ implementation based on ggml for running diffusion models like Stable Diffusion. It supports a range of image models including SD1.x, SD2.x, SDXL, SD3, FLUX, Qwen Image, and Z-Image, as well as video models like Wan2.1/Wan2.2. The library offers features like Control Net and LoRA support, latent consistency models (LCM), and faster decoding with TAESD. It supports CPU (with AVX, AVX2, AVX512), CUDA, Vulkan, Metal, OpenCL, and SYCL backends. Weight formats include Pytorch checkpoints, Safetensors, and GGUF. The project aims for cross-platform reproducibility with configurable RNGs. It uses stable-diffusion-webui style tokenizers and VAE tiling for reduced memory usage, making it suitable for local diffusion applications.
Core Capabilities
stable-diffusion.
Main Tasks
Generate images
Explore all tools that specialize in generate images. This domain focus ensures stable-diffusion.cpp delivers optimized results for this specific requirement.
