stable-diffusion-docker and stable-diffusion-webui-docker
These are competitors offering different levels of extension bundling for Stable Diffusion WebUI deployment, with A providing a more feature-rich Docker image that includes ControlNet, After Detailer, Dreambooth, and other extensions pre-integrated, while B offers a simpler containerized WebUI suitable for users preferring a minimal, self-configured setup.
About stable-diffusion-docker
ashleykleynhans/stable-diffusion-docker
Docker image for Stable Diffusion WebUI with ControlNet, After Detailer, Dreambooth, Deforum and ReActor extensions, as well as Kohya_ss and ComfyUI
Bundles A1111 WebUI, Kohya_ss, ComfyUI, and InvokeAI in a single CUDA 12.4 + Python 3.11 container with pre-cached SDXL models and multiple utility extensions (CivitAI Browser, Inpaint Anything, Dynamic Thresholding). Designed for RunPod GPU instances with multi-port exposure (3000-9090) enabling simultaneous access to all four UI frameworks plus Jupyter Lab and code-server for development workflows.
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.
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