stable-diffusion-docker and stable-diffusion-webui-docker
These are competitors offering alternative Docker containerization approaches for Stable Diffusion WebUI, with B providing a simpler, more widely-adopted baseline setup while A extends the same foundation with additional specialized extensions (ControlNet, Dreambooth, ReActor, ComfyUI).
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
AbdBarho/stable-diffusion-webui-docker
Easy Docker setup for Stable Diffusion with user-friendly UI
Bundles multiple Stable Diffusion UIs (AUTOMATIC1111, ComfyUI, InvokeAI) in containerized environments, eliminating dependency management and GPU configuration complexity. Supports text-to-image, image-to-image, and node-based workflow generation through selectable frontends. Docker-based deployment handles environment isolation and reproducible setup across different hardware configurations.
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