System Requirements
This guide introduces some system requirements for ComfyUI, including hardware and software requirements
In this guide, we will introduce the system requirements for installing ComfyUI. Due to frequent updates of ComfyUI, this document may not be updated in a timely manner. Please refer to the relevant instructions in ComfyUI.
Regardless of which version of ComfyUI you use, it runs in a separate Python environment.
System Requirements
Currently, we support the following operating systems:
- Windows
- Linux
- macOS (supports Apple Silicon M1/M2)
You can refer to the following sections to learn about the installation methods for different systems and versions of ComfyUI. In the installation of different versions, we have simply described the system requirements.
ComfyUI Desktop
ComfyUI Desktop
ComfyUI Desktop currently supports standalone installation for Windows and MacOS (ARM), currently in Beta
- Code is open source on Github
Because Desktop is always built based on the stable release, so the latest updates may take some time to experience for Desktop, if you want to always experience the latest version, please use the portable version or manual installation
You can choose the appropriate installation for your system and hardware below
ComfyUI Portable (Windows)
ComfyUI Portable (Windows)
Portable version is a ComfyUI version that integrates an independent embedded Python environment, using the portable version you can experience the latest features, currently only supports Windows system
ComfyUI Portable (Windows) Installation Guide
Supports Windows ComfyUI version running on Nvidia GPUs or CPU-only, always use the latest commits and completely portable.
Python Version
- Recommended Python 3.12
- Supports Python 3.13 (some custom nodes may not be compatible)
Supported Hardware
- NVIDIA GPU
- AMD GPU
- Intel GPU (includes Arc series, supports IPEX)
- Apple Silicon (M1/M2)
- Ascend NPU
- Cambricon MLU
- CPU (can use the —cpu parameter, slower)
Please refer to the ComfyUI Windows and Linux manual installation section for detailed installation steps.
The stable version of PyTorch 2.7 now supports the Blackwell architecture (CUDA 12.8), and the core and desktop versions of ComfyUI have adopted this version.
Dependencies
- Install PyTorch
- Install all dependencies in the requirements.txt of ComfyUI
Manual Installation
Please refer to the manual installation section for detailed installation steps.