docker-stable-diffusion-webui and stable-diffusion-webui-docker
These are competitors offering alternative Docker containerization approaches for the same stable-diffusion-webui application, with A emphasizing image optimization and best practices while B provides a more straightforward deployment option.
About docker-stable-diffusion-webui
jim60105/docker-stable-diffusion-webui
Dockerfile for stable-diffusion-webui with the goal of keeping it small and follow best practices. (Dockerfile, CI image build)
Optimized for GPU acceleration with NVIDIA CUDA support across Windows (WSL2), Linux, and macOS via the NVIDIA Container Toolkit. Provides pre-built images across multiple upstream versions (AUTOMATIC1111 stable releases, dev branch, and alternative forks like Forge) with automated weekly rebuilds, enabling quick deployment via docker-compose without local compilation. Maintains persistent model and output data in mounted volumes while keeping the entire image footprint to ~10GB through multi-stage build optimization.
About stable-diffusion-webui-docker
siutin/stable-diffusion-webui-docker
stable-diffusion-webui in docker
Provides pre-built Docker images with multiple CUDA versions (12.1.1, 12.5.1, 12.6.2) and CPU-only variants, enabling GPU-accelerated inference without manual dependency management. Supports both containerized deployment via volume-mounted model directories and custom image builds with configurable CUDA toolkits. Includes shell scripts for launching the webui with options like `--share` for public access and `--use-cpu all` for fallback CPU inference.
Related comparisons
Scores updated daily from GitHub, PyPI, and npm data. How scores work