ComfyUI-Docker and comfyui
These tools are competitors, as both projects provide Docker images for ComfyUI, serving the same purpose of containerizing ComfyUI for deployment.
About ComfyUI-Docker
YanWenKun/ComfyUI-Docker
🐳Dockerfile for 🎨ComfyUI. | 容器镜像与启动脚本
Provides multi-variant Docker images optimized for different GPU architectures (NVIDIA CUDA 12.6–13.0, AMD ROCm, Intel XPU) and use cases, from minimal "slim" distributions with ComfyUI-Manager to "megapak" bundles pre-loaded with dozens of custom nodes and development tools. Uses volume mounts to separate persistent model caches (Hugging Face, PyTorch), user workflows, and input/output directories, enabling seamless model management across container restarts while maintaining CUDA toolchain compatibility with PyTorch's build constraints.
About comfyui
ai-dock/comfyui
ComfyUI docker images for use in GPU cloud and local environments. Includes AI-Dock base for authentication and improved user experience.
Supports multi-GPU architecture variants (CUDA, ROCm, CPU) with configurable startup arguments and automatic model downloads from HuggingFace/Civitai using token authentication. Includes a REST API wrapper with Swagger documentation alongside the core ComfyUI service, both password-protected and manageable via supervisorctl. Provisioning scripts enable reproducible setups for specific model configurations like SD3 and FLUX.1 without bundling models directly in the image.
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