【WSL2笔记9】Ubuntu 环境ComfyUI 安装使用笔记

最新推荐文章于 2025-04-30 07:11:49 发布

老富2012

最新推荐文章于 2025-04-30 07:11:49 发布

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本文链接：https://blog.youkuaiyun.com/fuweipeng2012/article/details/136518378

本文记录了在Ubuntu系统中安装ComfyUI的详细步骤，包括从Git仓下载，设置Python 3.9和Torch环境，安装依赖，启动参数说明，以及遇到的ModuleNotFoundError: No module named ‘chardet’、xFormers加载C++/CUDA扩展失败和Aborted错误的解决方案。确保在Win浏览器和本地局域网中可以访问。

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1 安装

1.1 Git仓下载ComfyUI

git clone https://github.com/comfyanonymous/ComfyUI.git

$ cd ~
$ git clone https://github.com/comfyanonymous/ComfyUI
Cloning into 'ComfyUI'...
remote: Enumerating objects: 10278, done.
remote: Counting objects: 100% (5100/5100), done.
remote: Compressing objects: 100% (1951/1951), done.
remote: Total 10278 (delta 3268), reused 3160 (delta 3148), pack-reused 5178
Receiving objects: 100% (10278/10278), 4.04 MiB | 97.00 KiB/s, done.
Resolving deltas: 100% (6965/6965), done.
Updating files: 100% (279/279), done.
$ cd ComfyUI

1.2 安装环境

1.2.1 Python 版本

ComfyUI在Ubuntu环境下，python 3.8、 3.9、 3.10 实测都能通过
使用3.9是为了后续兼容其他第三方插件，有些插件在3.10下依赖版本冲突
conda create -n comfyui python==3.9
conda activate comfyui

1.2.2 Torch 版本

Conda 安装
conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
Pip 安装
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu121

二选一即可

$ conda install pytorch torchvision torchaudio pytorch-cuda=12.1 -c pytorch -c nvidia
nvidia
Channels:
 - pytorch
 - nvidia
 - defaults
Platform: linux-64
Collecting package metadata (repodata.json): done
Solving environment: done

## Package Plan ##

  environment location: /home/gpu/anaconda3/envs/comfyui

  added / updated specs:
    - pytorch
    - pytorch-cuda=12.1
    - torchaudio
    - torchvision


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    pytorch-2.2.1              |py3.9_cuda12.1_cudnn8.9.2_0        1.34 GB  pytorch
    torchaudio-2.2.1           |       py39_cu121         6.2 MB  pytorch
    torchtriton-2.2.0          |             py39       177.1 MB  pytorch
    torchvision-0.17.1         |       py39_cu121         7.9 MB  pytorch
    ------------------------------------------------------------
                                           Total:        1.53 GB

The following NEW packages will be INSTALLED:

  blas               anaconda/pkgs/main/linux-64::blas-1.0-mkl
  brotli-python      anaconda/pkgs/main/linux-64::brotli-python-1.0.9-py39h6a678d5_7
  bzip2              anaconda/pkgs/main/linux-64::bzip2-1.0.8-h5eee18b_5
  certifi            anaconda/pkgs/main/linux-64::certifi-2024.

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