stable-diffusion.cpp
Diffusion model inference (SD, Flux, Wan, Qwen Image, Z-Image) in pure C/C++ on ggml. Runs on CPU or GPU without Python or PyTorch.
Overview
Requirements
Recommended VPS
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 4
4 vCPU · 16384 MB · 200 GB
Hostinger · KVM 8
8 vCPU · 32256 MB · 400 GB
Affiliate disclosure
Docker Compose
# Generated by Run This Ai — docker-compose.yml
services:
stable-diffusion-cpp:
image: guaricema/stable-diffusion.cpp
restart: unless-stopped
ports:
- 8080:8080
volumes:
- ./data/stable-diffusion-cpp:/data
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Guides & articles
How to Deploy stable-diffusion.cpp with Docker: Step-by-Step Setup Guide
Learn how to run stable-diffusion.cpp in a container — pull the image, generate your first image, and use img2img and ControlNet with quantized GGUF models.
stable-diffusion.cpp: Run Stable Diffusion & FLUX in Pure C++ — No Python Required
A deep dive into stable-diffusion.cpp, the dependency-free C/C++ inference engine for Stable Diffusion, FLUX, Wan and Qwen Image — fast, quantized, deployable on CPU or GPU without Python.