绘梦成真：ComfyUI携手Modelarts打造AI艺术新纪元

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码上开花_Lancer 发表于 2025/01/07 17:47:56 2025/01/07
【摘要】 ComfyUI是一个基于节点的图形用户界面工具，旨在为用户提供高效、灵活的工作流管理和图像生成解决方案。其核心优势在于高度的定制性和模块化设计，允许用户通过拖拽和连接不同的节点来构建复杂的工作流，满足各种特定的创作和开发需求。ComfyUI支持多种应用场景，包括设计与创意、产品开发、营销推广、教育与培训以及数据可视化等。其直观的工作流管理方式和轻量化的性能，使其成为专业用户和企业实现自动化。。。。

一.AI绘画新神器 ComfyUI介绍

ComfyUI 是一个基于节点流程式的stable diffusion AI 绘图工具WebUI， 你可以把它想象成集成了stable diffusion功能的substance designer， 通过将stable diffusion的流程拆分成节点，实现了更加精准的工作流定制和完善的可复现性。但节点式的工作流也提高了一部分使用门槛。
同时，因为内部生成流程做了优化，生成图片时的速度相较于webui又10%~25%的提升（根据不同显卡提升幅度不同），生成大图片的时候不会爆显存，只是图片太大时，会因为切块运算的导致图片碎裂。

将人像转换为复古日漫风格

本案例基于ComfyUI搭建工作流，可以将人像转换为日本漫画黄金时期的漫画大师风格。案例体验链接在ComfyUI中将人像转换为复古日漫风格

  • 特点：复古日漫风格
  • 大模型：Animagine XL V3.1
  • lora权重推荐：0.65-0.8
  • 步数：25-35步
  • CFG：7
  • 采样方法：DPM++ 2M Karras

二、前置工作

本案例需要将notebook中运行的ComfyUI服务开放到公网中使用，需要搭配cpolar。用户可以前往cpolar网站免费注册一个账号，登录后在左侧列表中选择"验证"，记住自己的authtoken，后面会用到。

注意事项

🔹 点击右上方"ModelArts中运行"按钮，将会进入到ModelArts CodeLab中，这时需要你登录华为云账号，如果没有账号，则需要注册一个，且要进行实名认证，参考《如何创建华为云账号并且实名认证》 即可完成账号注册和实名认证。 登录之后，等待片刻，即可进入到CodeLab的运行环境.

🔹 本案例需使用 P100 及以上规格运行，请确保运行规格一致，可按照下图切换规格。

🔹 出现 Out Of Memory ，请检查是否为您的参数配置过高导致，修改参数配置，重启kernel或更换更高规格资源进行规避❗❗❗

三、环境准备

1.1 拷贝代码和模型文件

import moxing as mox
mox.file.copy_parallel('obs://modelarts-labs-bj4-v2/case_zoo/Animagine-xl-3.1/', 'Animagine-xl-3.1')

INFO:root:Using MoXing-v2.1.0.5d9c87c8-5d9c87c8

INFO:root:Using OBS-Python-SDK-3.20.9.1

/home/ma-user/anaconda3/envs/PyTorch-1.8/lib/python3.7/site-packages/requests/__init__.py:104: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (5.2.0)/charset_normalizer (2.0.12) doesn't match a supported version!

  RequestsDependencyWarning)

mox.file.copy_parallel('obs://modelarts-labs-bj4-v2/case_zoo/ComfyUI/ComfyUI/', 'ComfyUI')

mox.file.copy_parallel('obs://modelarts-labs-bj4-v2/case_zoo/ComfyUI/ComfyUI-Manager/', 'ComfyUI/custom_nodes/ComfyUI-Manager')

mox.file.copy_parallel('obs://modelarts-labs-bj4-v2/case_zoo/ComfyUI/cpolar-stable-linux-amd64.zip', 'cpolar-stable-linux-amd64.zip')

!unzip cpolar-stable-linux-amd64.zip

Archive:  cpolar-stable-linux-amd64.zip

  inflating: cpolar

注意：此处需要将authtoken的"xxxx"替换为前置工作中在cpolar网站获得的authtoken

%%bash
./cpolar authtoken xxxx

Authtoken saved to configuration file: /home/ma-user/.cpolar/cpolar.yml

1.2 将模型文件放至ComfyUI对应目录处

!mv Animagine-xl-3.1/animagineXLV31_v31.safetensors ComfyUI/models/checkpoints/
!mv Animagine-xl-3.1/sdxl_vae.safetensors ComfyUI/models/vae/
!mv Animagine-xl-3.1/hoko_sdxl.safetensors ComfyUI/models/loras/
!mv Animagine-xl-3.1/diffusers_xl_depth_full.safetensors ComfyUI/models/controlnet/
!mv Animagine-xl-3.1/animate-girl.jpg ComfyUI/input/
!mv Animagine-xl-3.1/man.jpg ComfyUI/input/
!mv Animagine-xl-3.1/woman.jpg ComfyUI/input/

import os
import shutil

source_file = 'Animagine-xl-3.1/animate-style-lora.json'
destination_dir = 'ComfyUI/user/default/workflows'

os.makedirs(destination_dir, exist_ok=True)

shutil.move(source_file, os.path.join(destination_dir, 'animate-style-lora.json'))

print(f"工作流文件已成功移动到: {os.path.join(destination_dir, 'animate-style-lora.json')}")

1.3 配置环境

本案例依赖Python3.9及以上环境，因此我们首先创建虚拟环境：

!/home/ma-user/anaconda3/bin/conda create -n python-3.9.15 python=3.9.15 -y --override-channels --channel https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
!/home/ma-user/anaconda3/envs/python-3.9.15/bin/pip install ipykernel

/home/ma-user/anaconda3/lib/python3.7/site-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.26.12) or chardet (3.0.4) doesn't match a supported version!

  RequestsDependencyWarning)

Collecting package metadata (current_repodata.json): done

Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.

Collecting package metadata (repodata.json): done

Solving environment: done



## Package Plan ##



  environment location: /home/ma-user/anaconda3/envs/python-3.9.15



  added / updated specs:

    - python=3.9.15





The following packages will be downloaded:



    package                    |            build

    ---------------------------|-----------------

    _libgcc_mutex-0.1          |             main           3 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    _openmp_mutex-5.1          |            1_gnu          21 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    ca-certificates-2024.11.26 |       h06a4308_0         131 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    ld_impl_linux-64-2.40      |       h12ee557_0         710 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    libffi-3.4.4               |       h6a678d5_1         141 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    libgcc-ng-11.2.0           |       h1234567_1         5.3 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    libgomp-11.2.0             |       h1234567_1         474 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    libstdcxx-ng-11.2.0        |       h1234567_1         4.7 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    ncurses-6.4                |       h6a678d5_0         914 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    openssl-1.1.1w             |       h7f8727e_0         3.7 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    pip-24.2                   |   py39h06a4308_0         2.2 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    python-3.9.15              |       h7a1cb2a_2        25.0 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    readline-8.2               |       h5eee18b_0         357 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    setuptools-75.1.0          |   py39h06a4308_0         1.7 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    sqlite-3.45.3              |       h5eee18b_0         1.2 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    tk-8.6.14                  |       h39e8969_0         3.4 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    tzdata-2024b               |       h04d1e81_0         115 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    wheel-0.44.0               |   py39h06a4308_0         108 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    xz-5.4.6                   |       h5eee18b_1         643 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    zlib-1.2.13                |       h5eee18b_1         111 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main

    ------------------------------------------------------------

                                           Total:        51.0 MB



The following NEW packages will be INSTALLED:



  _libgcc_mutex      anaconda/pkgs/main/linux-64::_libgcc_mutex-0.1-main

  _openmp_mutex      anaconda/pkgs/main/linux-64::_openmp_mutex-5.1-1_gnu

  ca-certificates    anaconda/pkgs/main/linux-64::ca-certificates-2024.11.26-h06a4308_0

  ld_impl_linux-64   anaconda/pkgs/main/linux-64::ld_impl_linux-64-2.40-h12ee557_0

  libffi             anaconda/pkgs/main/linux-64::libffi-3.4.4-h6a678d5_1

  libgcc-ng          anaconda/pkgs/main/linux-64::libgcc-ng-11.2.0-h1234567_1

  libgomp            anaconda/pkgs/main/linux-64::libgomp-11.2.0-h1234567_1

  libstdcxx-ng       anaconda/pkgs/main/linux-64::libstdcxx-ng-11.2.0-h1234567_1

  ncurses            anaconda/pkgs/main/linux-64::ncurses-6.4-h6a678d5_0

  openssl            anaconda/pkgs/main/linux-64::openssl-1.1.1w-h7f8727e_0

  pip                anaconda/pkgs/main/linux-64::pip-24.2-py39h06a4308_0

  python             anaconda/pkgs/main/linux-64::python-3.9.15-h7a1cb2a_2

  readline           anaconda/pkgs/main/linux-64::readline-8.2-h5eee18b_0

  setuptools         anaconda/pkgs/main/linux-64::setuptools-75.1.0-py39h06a4308_0

  sqlite             anaconda/pkgs/main/linux-64::sqlite-3.45.3-h5eee18b_0

  tk                 anaconda/pkgs/main/linux-64::tk-8.6.14-h39e8969_0

  tzdata             anaconda/pkgs/main/noarch::tzdata-2024b-h04d1e81_0

  wheel              anaconda/pkgs/main/linux-64::wheel-0.44.0-py39h06a4308_0

  xz                 anaconda/pkgs/main/linux-64::xz-5.4.6-h5eee18b_1

  zlib               anaconda/pkgs/main/linux-64::zlib-1.2.13-h5eee18b_1







Downloading and Extracting Packages

openssl-1.1.1w       | 3.7 MB    | ##################################### | 100% 

tzdata-2024b         | 115 KB    | ##################################### | 100% 

ld_impl_linux-64-2.4 | 710 KB    | ##################################### | 100% 

sqlite-3.45.3        | 1.2 MB    | ##################################### | 100% 

_libgcc_mutex-0.1    | 3 KB      | ##################################### | 100% 

zlib-1.2.13          | 111 KB    | ##################################### | 100% 

wheel-0.44.0         | 108 KB    | ##################################### | 100% 

tk-8.6.14            | 3.4 MB    | ##################################### | 100% 

pip-24.2             | 2.2 MB    | ##################################### | 100% 

readline-8.2         | 357 KB    | ##################################### | 100% 

libstdcxx-ng-11.2.0  | 4.7 MB    | ##################################### | 100% 

libgomp-11.2.0       | 474 KB    | ##################################### | 100% 

libffi-3.4.4         | 141 KB    | ##################################### | 100% 

libgcc-ng-11.2.0     | 5.3 MB    | ##################################### | 100% 

_openmp_mutex-5.1    | 21 KB     | ##################################### | 100% 

python-3.9.15        | 25.0 MB   | ##################################### | 100% 

xz-5.4.6             | 643 KB    | ##################################### | 100% 

ncurses-6.4          | 914 KB    | ##################################### | 100% 

ca-certificates-2024 | 131 KB    | ##################################### | 100% 

setuptools-75.1.0    | 1.7 MB    | ##################################### | 100% 

Preparing transaction: done

Verifying transaction: done

Executing transaction: done

#

# To activate this environment, use

#

#     $ conda activate python-3.9.15

#

# To deactivate an active environment, use

#

#     $ conda deactivate



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Collecting zipp>=3.20 (from importlib-metadata>=4.8.3->jupyter-client>=6.1.12->ipykernel)

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Collecting parso<0.9.0,>=0.8.4 (from jedi>=0.16->ipython>=7.23.1->ipykernel)

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Collecting ptyprocess>=0.5 (from pexpect>4.3->ipython>=7.23.1->ipykernel)

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Collecting wcwidth (from prompt-toolkit<3.1.0,>=3.0.41->ipython>=7.23.1->ipykernel)

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Collecting six>=1.5 (from python-dateutil>=2.8.2->jupyter-client>=6.1.12->ipykernel)

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Collecting executing>=1.2.0 (from stack-data->ipython>=7.23.1->ipykernel)

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Collecting asttokens>=2.1.0 (from stack-data->ipython>=7.23.1->ipykernel)

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Collecting pure-eval (from stack-data->ipython>=7.23.1->ipykernel)

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Installing collected packages: wcwidth, pure-eval, ptyprocess, zipp, typing-extensions, traitlets, tornado, six, pyzmq, pygments, psutil, prompt-toolkit, platformdirs, pexpect, parso, packaging, nest-asyncio, executing, exceptiongroup, decorator, debugpy, asttokens, stack-data, python-dateutil, matplotlib-inline, jupyter-core, jedi, importlib-metadata, comm, jupyter-client, ipython, ipykernel

Successfully installed asttokens-3.0.0 comm-0.2.2 debugpy-1.8.11 decorator-5.1.1 exceptiongroup-1.2.2 executing-2.1.0 importlib-metadata-8.5.0 ipykernel-6.29.5 ipython-8.18.1 jedi-0.19.2 jupyter-client-8.6.3 jupyter-core-5.7.2 matplotlib-inline-0.1.7 nest-asyncio-1.6.0 packaging-24.2 parso-0.8.4 pexpect-4.9.0 platformdirs-4.3.6 prompt-toolkit-3.0.48 psutil-6.1.1 ptyprocess-0.7.0 pure-eval-0.2.3 pygments-2.18.0 python-dateutil-2.9.0.post0 pyzmq-26.2.0 six-1.17.0 stack-data-0.6.3 tornado-6.4.2 traitlets-5.14.3 typing-extensions-4.12.2 wcwidth-0.2.13 zipp-3.21.0

import os
import json

data = {
   "display_name": "python-3.9.15",
   "env": {
      "PATH": "/home/ma-user/anaconda3/envs/python-3.9.15/bin:/home/ma-user/anaconda3/envs/python-3.7.10/bin:/modelarts/authoring/notebook-conda/bin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/home/ma-user/modelarts/ma-cli/bin:/home/ma-user/modelarts/ma-cli/bin:/home/ma-user/anaconda3/envs/PyTorch-1.8/bin"
   },
   "language": "python",
   "argv": [
      "/home/ma-user/anaconda3/envs/python-3.9.15/bin/python",
      "-m",
      "ipykernel",
      "-f",
      "{connection_file}"
   ]
}

if not os.path.exists("/home/ma-user/anaconda3/share/jupyter/kernels/python-3.9.15/"):
    os.mkdir("/home/ma-user/anaconda3/share/jupyter/kernels/python-3.9.15/")

with open('/home/ma-user/anaconda3/share/jupyter/kernels/python-3.9.15/kernel.json', 'w') as f:
    json.dump(data, f, indent=4)
    print('kernel.json文件修改完毕')

kernel.json文件修改完毕

创建完成后，稍等片刻，在右上角的kernel处选择python-3.9.15

安装相关依赖

!pip install torch==2.0.1
!pip install torchsde
!pip install torchvision==0.15.2
!pip install torchaudio==2.0.2
!pip install einops
!pip install transformers>=4.28.1
!pip install tokenizers>=0.13.3
!pip install sentencepiece
!pip install safetensors>=0.4.2
!pip install aiohttp
!pip install pyyaml
!pip install Pillow
!pip install scipy
!pip install tqdm
!pip install psutil

#non essential dependencies:
!pip install kornia>=0.7.1
!pip install spandrel
!pip install soundfile

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting torch==2.0.1

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/e5/9a/ce0fe125f226ffce8deba6a18bd8d0b9f589aa236780a83a6d70b5525f56/torch-2.0.1-cp39-cp39-manylinux1_x86_64.whl (619.9 MB)

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[?25hCollecting filelock (from torch==2.0.1)

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Requirement already satisfied: typing-extensions in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1) (4.12.2)

Collecting sympy (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/99/ff/c87e0622b1dadea79d2fb0b25ade9ed98954c9033722eb707053d310d4f3/sympy-1.13.3-py3-none-any.whl (6.2 MB)

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[?25hCollecting networkx (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/d5/f0/8fbc882ca80cf077f1b246c0e3c3465f7f415439bdea6b899f6b19f61f70/networkx-3.2.1-py3-none-any.whl (1.6 MB)

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[?25hCollecting jinja2 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/bd/0f/2ba5fbcd631e3e88689309dbe978c5769e883e4b84ebfe7da30b43275c5a/jinja2-3.1.5-py3-none-any.whl (134 kB)

Collecting nvidia-cuda-nvrtc-cu11==11.7.99 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/ef/25/922c5996aada6611b79b53985af7999fc629aee1d5d001b6a22431e18fec/nvidia_cuda_nvrtc_cu11-11.7.99-2-py3-none-manylinux1_x86_64.whl (21.0 MB)

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[?25hCollecting nvidia-cuda-runtime-cu11==11.7.99 (from torch==2.0.1)

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[?25hCollecting nvidia-cuda-cupti-cu11==11.7.101 (from torch==2.0.1)

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[?25hCollecting nvidia-cudnn-cu11==8.5.0.96 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/dc/30/66d4347d6e864334da5bb1c7571305e501dcb11b9155971421bb7bb5315f/nvidia_cudnn_cu11-8.5.0.96-2-py3-none-manylinux1_x86_64.whl (557.1 MB)

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[?25hCollecting nvidia-cublas-cu11==11.10.3.66 (from torch==2.0.1)

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[?25hCollecting nvidia-cufft-cu11==10.9.0.58 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/64/c8/133717b43182ba063803e983e7680a94826a9f4ff5734af0ca315803f1b3/nvidia_cufft_cu11-10.9.0.58-py3-none-manylinux2014_x86_64.whl (168.4 MB)

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[?25hCollecting nvidia-curand-cu11==10.2.10.91 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/8f/11/af78d54b2420e64a4dd19e704f5bb69dcb5a6a3138b4465d6a48cdf59a21/nvidia_curand_cu11-10.2.10.91-py3-none-manylinux1_x86_64.whl (54.6 MB)

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[?25hCollecting nvidia-cusolver-cu11==11.4.0.1 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/3e/77/66149e3153b19312fb782ea367f3f950123b93916a45538b573fe373570a/nvidia_cusolver_cu11-11.4.0.1-2-py3-none-manylinux1_x86_64.whl (102.6 MB)

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[?25hCollecting nvidia-cusparse-cu11==11.7.4.91 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/ea/6f/6d032cc1bb7db88a989ddce3f4968419a7edeafda362847f42f614b1f845/nvidia_cusparse_cu11-11.7.4.91-py3-none-manylinux1_x86_64.whl (173.2 MB)

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[?25hCollecting nvidia-nccl-cu11==2.14.3 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/55/92/914cdb650b6a5d1478f83148597a25e90ea37d739bd563c5096b0e8a5f43/nvidia_nccl_cu11-2.14.3-py3-none-manylinux1_x86_64.whl (177.1 MB)

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[?25hCollecting nvidia-nvtx-cu11==11.7.91 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/23/d5/09493ff0e64fd77523afbbb075108f27a13790479efe86b9ffb4587671b5/nvidia_nvtx_cu11-11.7.91-py3-none-manylinux1_x86_64.whl (98 kB)

Collecting triton==2.0.0 (from torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/77/ac/28b74ec1177c730d0da8803eaff5e5025bd532bcf07cadb0fcf661abed97/triton-2.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (63.3 MB)

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[?25hRequirement already satisfied: setuptools in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1) (75.1.0)

Requirement already satisfied: wheel in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1) (0.44.0)

Collecting cmake (from triton==2.0.0->torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/e0/a7/d7c3e87d1547af16810b8b1bbfc8ffaa1c83a26725b6c152ab979df65dc1/cmake-3.31.2-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.8 MB)

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[?25hCollecting lit (from triton==2.0.0->torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/96/06/b36f150fa7c5bcc96a31a4d19a20fddbd1d965b6f02510b57a3bb8d4b930/lit-18.1.8-py3-none-any.whl (96 kB)

Collecting MarkupSafe>=2.0 (from jinja2->torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/53/8f/f339c98a178f3c1e545622206b40986a4c3307fe39f70ccd3d9df9a9e425/MarkupSafe-3.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (20 kB)

Collecting mpmath<1.4,>=1.1.0 (from sympy->torch==2.0.1)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/43/e3/7d92a15f894aa0c9c4b49b8ee9ac9850d6e63b03c9c32c0367a13ae62209/mpmath-1.3.0-py3-none-any.whl (536 kB)

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[?25hInstalling collected packages: mpmath, lit, sympy, nvidia-nvtx-cu11, nvidia-nccl-cu11, nvidia-cusparse-cu11, nvidia-curand-cu11, nvidia-cufft-cu11, nvidia-cuda-runtime-cu11, nvidia-cuda-nvrtc-cu11, nvidia-cuda-cupti-cu11, nvidia-cublas-cu11, networkx, MarkupSafe, filelock, cmake, nvidia-cusolver-cu11, nvidia-cudnn-cu11, jinja2, triton, torch

Successfully installed MarkupSafe-3.0.2 cmake-3.31.2 filelock-3.16.1 jinja2-3.1.5 lit-18.1.8 mpmath-1.3.0 networkx-3.2.1 nvidia-cublas-cu11-11.10.3.66 nvidia-cuda-cupti-cu11-11.7.101 nvidia-cuda-nvrtc-cu11-11.7.99 nvidia-cuda-runtime-cu11-11.7.99 nvidia-cudnn-cu11-8.5.0.96 nvidia-cufft-cu11-10.9.0.58 nvidia-curand-cu11-10.2.10.91 nvidia-cusolver-cu11-11.4.0.1 nvidia-cusparse-cu11-11.7.4.91 nvidia-nccl-cu11-2.14.3 nvidia-nvtx-cu11-11.7.91 sympy-1.13.3 torch-2.0.1 triton-2.0.0

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting torchsde

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/dd/1f/b67ebd7e19ffe259f05d3cf4547326725c3113d640c277030be3e9998d6f/torchsde-0.2.6-py3-none-any.whl (61 kB)

Collecting numpy>=1.19 (from torchsde)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/b9/14/78635daab4b07c0930c919d451b8bf8c164774e6a3413aed04a6d95758ce/numpy-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (19.5 MB)

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[?25hCollecting scipy>=1.5 (from torchsde)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/35/f5/d0ad1a96f80962ba65e2ce1de6a1e59edecd1f0a7b55990ed208848012e0/scipy-1.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (38.6 MB)

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[?25hRequirement already satisfied: torch>=1.6.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torchsde) (2.0.1)

Collecting trampoline>=0.1.2 (from torchsde)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/73/54/d2805324fb746d8da86d3844bee4f55c0cfd6c136de61b713772d44c5bea/trampoline-0.1.2-py3-none-any.whl (5.2 kB)

Requirement already satisfied: filelock in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (3.16.1)

Requirement already satisfied: typing-extensions in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (4.12.2)

Requirement already satisfied: sympy in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (1.13.3)

Requirement already satisfied: networkx in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (3.2.1)

Requirement already satisfied: jinja2 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (3.1.5)

Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.7.99)

Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.7.99)

Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.7.101)

Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (8.5.0.96)

Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.10.3.66)

Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (10.9.0.58)

Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (10.2.10.91)

Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.4.0.1)

Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.7.4.91)

Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (2.14.3)

Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (11.7.91)

Requirement already satisfied: triton==2.0.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch>=1.6.0->torchsde) (2.0.0)

Requirement already satisfied: setuptools in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->torchsde) (75.1.0)

Requirement already satisfied: wheel in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch>=1.6.0->torchsde) (0.44.0)

Requirement already satisfied: cmake in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch>=1.6.0->torchsde) (3.31.2)

Requirement already satisfied: lit in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch>=1.6.0->torchsde) (18.1.8)

Requirement already satisfied: MarkupSafe>=2.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from jinja2->torch>=1.6.0->torchsde) (3.0.2)

Requirement already satisfied: mpmath<1.4,>=1.1.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from sympy->torch>=1.6.0->torchsde) (1.3.0)

Installing collected packages: trampoline, numpy, scipy, torchsde

Successfully installed numpy-2.0.2 scipy-1.13.1 torchsde-0.2.6 trampoline-0.1.2

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting torchvision==0.15.2

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/41/9e/8809e45a084680394e8d219fcf8a2c0eed2dddf1ec0a7968f4052826a6e9/torchvision-0.15.2-cp39-cp39-manylinux1_x86_64.whl (6.0 MB)

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[?25hRequirement already satisfied: numpy in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torchvision==0.15.2) (2.0.2)

Collecting requests (from torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl (64 kB)

Requirement already satisfied: torch==2.0.1 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torchvision==0.15.2) (2.0.1)

Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/14/b1/c8f428bae932a27ce9c87e7b21aba8ea3e820aa11413c5a795868c37e039/pillow-11.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (4.3 MB)

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[?25hRequirement already satisfied: filelock in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (3.16.1)

Requirement already satisfied: typing-extensions in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (4.12.2)

Requirement already satisfied: sympy in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (1.13.3)

Requirement already satisfied: networkx in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (3.2.1)

Requirement already satisfied: jinja2 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (3.1.5)

Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.7.99)

Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.7.99)

Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.7.101)

Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (8.5.0.96)

Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.10.3.66)

Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (10.9.0.58)

Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (10.2.10.91)

Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.4.0.1)

Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.7.4.91)

Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (2.14.3)

Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (11.7.91)

Requirement already satisfied: triton==2.0.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchvision==0.15.2) (2.0.0)

Requirement already satisfied: setuptools in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1->torchvision==0.15.2) (75.1.0)

Requirement already satisfied: wheel in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1->torchvision==0.15.2) (0.44.0)

Requirement already satisfied: cmake in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch==2.0.1->torchvision==0.15.2) (3.31.2)

Requirement already satisfied: lit in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch==2.0.1->torchvision==0.15.2) (18.1.8)

Collecting charset-normalizer<4,>=2 (from requests->torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/28/89/60f51ad71f63aaaa7e51a2a2ad37919985a341a1d267070f212cdf6c2d22/charset_normalizer-3.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (144 kB)

Collecting idna<4,>=2.5 (from requests->torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl (70 kB)

Collecting urllib3<3,>=1.21.1 (from requests->torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl (128 kB)

Collecting certifi>=2017.4.17 (from requests->torchvision==0.15.2)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/a5/32/8f6669fc4798494966bf446c8c4a162e0b5d893dff088afddf76414f70e1/certifi-2024.12.14-py3-none-any.whl (164 kB)

Requirement already satisfied: MarkupSafe>=2.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from jinja2->torch==2.0.1->torchvision==0.15.2) (3.0.2)

Requirement already satisfied: mpmath<1.4,>=1.1.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from sympy->torch==2.0.1->torchvision==0.15.2) (1.3.0)

Installing collected packages: urllib3, pillow, idna, charset-normalizer, certifi, requests, torchvision

Successfully installed certifi-2024.12.14 charset-normalizer-3.4.0 idna-3.10 pillow-11.0.0 requests-2.32.3 torchvision-0.15.2 urllib3-2.3.0

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting torchaudio==2.0.2

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/eb/b0/b72708eca97014d756e4be2b92eca53e23a202028a24a5e0482adca8d6f7/torchaudio-2.0.2-cp39-cp39-manylinux1_x86_64.whl (4.4 MB)

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[?25hRequirement already satisfied: torch==2.0.1 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torchaudio==2.0.2) (2.0.1)

Requirement already satisfied: filelock in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (3.16.1)

Requirement already satisfied: typing-extensions in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (4.12.2)

Requirement already satisfied: sympy in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (1.13.3)

Requirement already satisfied: networkx in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (3.2.1)

Requirement already satisfied: jinja2 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (3.1.5)

Requirement already satisfied: nvidia-cuda-nvrtc-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.7.99)

Requirement already satisfied: nvidia-cuda-runtime-cu11==11.7.99 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.7.99)

Requirement already satisfied: nvidia-cuda-cupti-cu11==11.7.101 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.7.101)

Requirement already satisfied: nvidia-cudnn-cu11==8.5.0.96 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (8.5.0.96)

Requirement already satisfied: nvidia-cublas-cu11==11.10.3.66 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.10.3.66)

Requirement already satisfied: nvidia-cufft-cu11==10.9.0.58 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (10.9.0.58)

Requirement already satisfied: nvidia-curand-cu11==10.2.10.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (10.2.10.91)

Requirement already satisfied: nvidia-cusolver-cu11==11.4.0.1 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.4.0.1)

Requirement already satisfied: nvidia-cusparse-cu11==11.7.4.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.7.4.91)

Requirement already satisfied: nvidia-nccl-cu11==2.14.3 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (2.14.3)

Requirement already satisfied: nvidia-nvtx-cu11==11.7.91 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (11.7.91)

Requirement already satisfied: triton==2.0.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from torch==2.0.1->torchaudio==2.0.2) (2.0.0)

Requirement already satisfied: setuptools in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1->torchaudio==2.0.2) (75.1.0)

Requirement already satisfied: wheel in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from nvidia-cublas-cu11==11.10.3.66->torch==2.0.1->torchaudio==2.0.2) (0.44.0)

Requirement already satisfied: cmake in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch==2.0.1->torchaudio==2.0.2) (3.31.2)

Requirement already satisfied: lit in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from triton==2.0.0->torch==2.0.1->torchaudio==2.0.2) (18.1.8)

Requirement already satisfied: MarkupSafe>=2.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from jinja2->torch==2.0.1->torchaudio==2.0.2) (3.0.2)

Requirement already satisfied: mpmath<1.4,>=1.1.0 in /home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages (from sympy->torch==2.0.1->torchaudio==2.0.2) (1.3.0)

Installing collected packages: torchaudio

Successfully installed torchaudio-2.0.2

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting einops

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/44/5a/f0b9ad6c0a9017e62d4735daaeb11ba3b6c009d69a26141b258cd37b5588/einops-0.8.0-py3-none-any.whl (43 kB)

Installing collected packages: einops

Successfully installed einops-0.8.0

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting sentencepiece

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/5f/01/c95e42eb86282b2c79305d3e0b0ca5a743f85a61262bb7130999c70b9374/sentencepiece-0.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.3 MB)

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[?25hInstalling collected packages: sentencepiece

Successfully installed sentencepiece-0.2.0

Looking in indexes: http://repo.myhuaweicloud.com/repository/pypi/simple

Collecting aiohttp

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/f7/5b/a27e8fe1a3b0e245ca80863eefd83fc00136752d27d2cf1afa0130a76f34/aiohttp-3.11.11-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.6 MB)

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[?25hCollecting aiohappyeyeballs>=2.3.0 (from aiohttp)

  Downloading http://repo.myhuaweicloud.com/repository/pypi/packages/b9/74/fbb6559de3607b3300b9be3cc64e97548d55678e44623db17820dbd20002/aiohappyeyeballs-2.4.4-py3-none-any.whl (14 kB)

Collecting aiosignal>=1.1.2 (from aiohttp)

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2. 在ComfyUI中使用工作流完成人像风格转换

2.1 启动ComfyUI

运行下面cell中的代码，服务启动后即看到"To see the GUI go to: 127.0.0.1:8188"后，在界面左上方点击"+"号新建一个terminal。

在terminal中输入：

cd ma_share/Untitled/
./cpolar http 8188

使用cpolar将ComfyUI服务公开到公网中，点击生成的https链接即可访问。

%cd ComfyUI
!python main.py

/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/IPython/core/magics/osm.py:417: UserWarning: using dhist requires you to install the `pickleshare` library.

  self.shell.db['dhist'] = compress_dhist(dhist)[-100:]


/home/ma-user/work/ComfyUI

[START] Security scan

[DONE] Security scan

## ComfyUI-Manager: installing dependencies done.

** ComfyUI startup time: 2024-12-24 17:06:19.930774

** Platform: Linux

** Python version: 3.9.15 (main, Nov 24 2022, 14:31:59) 

[GCC 11.2.0]

** Python executable: /home/ma-user/anaconda3/envs/python-3.9.15/bin/python

** ComfyUI Path: /home/ma-user/work/ComfyUI

** Log path: /home/ma-user/work/ComfyUI/comfyui.log



Prestartup times for custom nodes:

   0.0 seconds: /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use

   1.6 seconds: /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Manager



Total VRAM 16281 MB, total RAM 63891 MB

pytorch version: 2.0.1+cu117

Set vram state to: NORMAL_VRAM

Device: cuda:0 Tesla P100-PCIE-16GB : cudaMallocAsync

Using pytorch cross attention

[Prompt Server] web root: /home/ma-user/work/ComfyUI/web

[comfyui_controlnet_aux] | INFO -> Using ckpts path: /home/ma-user/work/ComfyUI/custom_nodes/comfyui_controlnet_aux/ckpts

[comfyui_controlnet_aux] | INFO -> Using symlinks: False

[comfyui_controlnet_aux] | INFO -> Using ort providers: ['CUDAExecutionProvider', 'DirectMLExecutionProvider', 'OpenVINOExecutionProvider', 'ROCMExecutionProvider', 'CPUExecutionProvider', 'CoreMLExecutionProvider']

/home/ma-user/work/ComfyUI/custom_nodes/comfyui_controlnet_aux/node_wrappers/dwpose.py:26: UserWarning: DWPose: Onnxruntime not found or doesn't come with acceleration providers, switch to OpenCV with CPU device. DWPose might run very slowly

  warnings.warn("DWPose: Onnxruntime not found or doesn't come with acceleration providers, switch to OpenCV with CPU device. DWPose might run very slowly")

Traceback (most recent call last):

  File "/home/ma-user/work/ComfyUI/nodes.py", line 2072, in load_custom_node

    module_spec.loader.exec_module(module)

  File "<frozen importlib._bootstrap_external>", line 850, in exec_module

  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed

  File "/home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use/__init__.py", line 21, in <module>

    imported_module = importlib.import_module(".py.{}".format(module_name), __name__)

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/importlib/__init__.py", line 127, in import_module

    return _bootstrap._gcd_import(name[level:], package, level)

  File "<frozen importlib._bootstrap>", line 1030, in _gcd_import

  File "<frozen importlib._bootstrap>", line 1007, in _find_and_load

  File "<frozen importlib._bootstrap>", line 986, in _find_and_load_unlocked

  File "<frozen importlib._bootstrap>", line 680, in _load_unlocked

  File "<frozen importlib._bootstrap_external>", line 850, in exec_module

  File "<frozen importlib._bootstrap>", line 228, in _call_with_frames_removed

  File "/home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use/py/easyNodes.py", line 17, in <module>

    from .layer_diffuse import LayerDiffuse, LayerMethod

  File "/home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use/py/layer_diffuse/__init__.py", line 12, in <module>

    from .model import ModelPatcher, TransparentVAEDecoder, calculate_weight_adjust_channel

  File "/home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use/py/layer_diffuse/model.py", line 17, in <module>

    from diffusers.models.modeling_utils import ModelMixin

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/diffusers/models/modeling_utils.py", line 35, in <module>

    from ..quantizers import DiffusersAutoQuantizer, DiffusersQuantizer

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/diffusers/quantizers/__init__.py", line 15, in <module>

    from .auto import DiffusersAutoQuantizer

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/diffusers/quantizers/auto.py", line 31, in <module>

    from .torchao import TorchAoHfQuantizer

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/diffusers/quantizers/torchao/__init__.py", line 15, in <module>

    from .torchao_quantizer import TorchAoHfQuantizer

  File "/home/ma-user/anaconda3/envs/python-3.9.15/lib/python3.9/site-packages/diffusers/quantizers/torchao/torchao_quantizer.py", line 43, in <module>

    torch.float8_e4m3fn,

AttributeError: module 'torch' has no attribute 'float8_e4m3fn'



Cannot import /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use module for custom nodes: module 'torch' has no attribute 'float8_e4m3fn'

### Loading: ComfyUI-Manager (V2.55.5)

### ComfyUI Revision: UNKNOWN (The currently installed ComfyUI is not a Git repository)



Import times for custom nodes:

   0.0 seconds: /home/ma-user/work/ComfyUI/custom_nodes/websocket_image_save.py

   0.0 seconds: /home/ma-user/work/ComfyUI/custom_nodes/sdxl_prompt_styler

   0.0 seconds: /home/ma-user/work/ComfyUI/custom_nodes/stability-ComfyUI-nodes

   0.1 seconds: /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Manager

   0.2 seconds (IMPORT FAILED): /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Easy-Use

   0.5 seconds: /home/ma-user/work/ComfyUI/custom_nodes/comfyui_controlnet_aux



Starting server



To see the GUI go to: http://127.0.0.1:8188

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/model-list.json

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/github-stats.json

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/custom-node-list.json

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/extension-node-map.json

[ComfyUI-Manager] default cache updated: https://raw.githubusercontent.com/ltdrdata/ComfyUI-Manager/main/alter-list.json

FETCH DATA from: /home/ma-user/work/ComfyUI/custom_nodes/ComfyUI-Manager/extension-node-map.json [DONE]

got prompt

model weight dtype torch.float16, manual cast: torch.float32

model_type EPS

Using pytorch attention in VAE

Using pytorch attention in VAE

Requested to load SDXLClipModel

loaded completely 9.5367431640625e+25 1560.802734375 True

Requested to load SDXLClipModel

loaded completely 9.5367431640625e+25 1560.802734375 True

Requested to load ControlNet

Requested to load SDXL

loaded completely 9.5367431640625e+25 2386.120147705078 True

loaded completely 9.5367431640625e+25 4897.0483474731445 True

100%|███████████████████████████████████████████| 30/30 [03:48<00:00,  7.60s/it]

Requested to load AutoencoderKL

0 models unloaded.

loaded completely 9.5367431640625e+25 319.11416244506836 True

Prompt executed in 246.80 seconds

^C



Stopped server

2.2 使用ComfyUI

点击左侧文件列表加载工作流，选择"animate-style-lora.json"即可加载人像日漫风格转换工作流，点击下方的"执行"按钮即可开启转换。用户也可以自行配置各节点的数值，输入图像需放置在ComfyUI/input目录中。

输出图像会放置在ComfyUI/output目录中。

四、ComfyUI、Midjourney和Stable Diffusion 三大绘画工具对比

在AI绘画领域，ComfyUI、Midjourney和Stable Diffusion各有其独特的优势和特点。以下是三者的对比分析：

ComfyUI

  • 优势
    • 高度定制性和灵活性：ComfyUI采用基于节点的GUI，用户可以通过拖拽和连接不同的节点来构建复杂的图像生成工作流，满足各种特定的创作需求。这种模块化的设计使得用户能够自由组合和扩展功能，实现更高的自动化水平。
    • 直观的工作流管理：其工作流的保存和调用非常便捷，用户可以将工作流保存为Json文件，也可以通过加载图片来连带加载其对应的工作流程。这种清晰的工作流管理方式，使得图像生成过程的复现性极高，几乎可以100%复现原图。
    • 轻量化和高效性能：ComfyUI对硬件的要求相对较低，即使是较低配置的显卡也能较好地运行，并且渲染速度更快。这使得它在生成复杂图像或进行批量生成时具有明显优势。
  • 适用场景：适合有一定技术基础和编程思维的用户，如AI研究人员、专业的数字艺术家等。这些用户能够充分利用其高度定制化的特点，根据自己的专业需求构建复杂的工作流，实现创新的图像生成效果。

Midjourney

  • 优势
    • 易用性和上手快：Midjourney的操作非常简单，用户只需通过Discord机器人输入简单的命令和描述词，即可快速生成图像。其界面设计简洁明了，非常适合刚入门的用户。
    • 高质量的生成效果：Midjourney的模型生成质量非常高，尤其是在自然语言理解能力方面，一直要高于其他一些AI绘画工具。它能够根据用户的描述生成具有艺术感和创意的图像，提供丰富的视觉效果。
  • 适用场景：适合全行业艺术工作者，尤其是那些缺乏绘画基础或时间有限的用户。Midjourney更像是一个灵感素材来源，能够快速为用户提供创意灵感。

Stable Diffusion

  • 优势
    • 开源和免费：Stable Diffusion是一个开源的AI大模型，用户可以免费使用其核心功能。这使得基于Stable Diffusion的模型或应用百花齐放，为AI深度爱好者提供了广阔的研究和探索空间。
    • 强大的可控性和商业落地能力：由于其开源特性，用户可以对模型进行深度定制和优化，实现更精确的图像生成控制。这使得Stable Diffusion在商业应用中具有更强的灵活性和适应性。
  • 适用场景：适合项目制的艺术工作者协作。在工作中，用户可以协同自己的设计能力，通过Stable Diffusion反复优化调整，最终完成能够实际落地的作品。

总结

  • ComfyUI在定制性和工作流管理方面具有明显优势，适合需要高度个性化和自动化创作的专业用户。
  • Midjourney则以其易用性和高质量生成效果脱颖而出，适合初学者和需要快速灵感的用户。
  • Stable Diffusion凭借其开源特性和强大的可控性，成为AI深度研究者和商业应用的理想选择。

用户可以根据自身的技术基础、创作需求和使用场景，选择最适合自己的AI绘画工具，以实现最佳的创作效果和工作效率.

五、企业落地场景

ComfyUI作为一个基于节点的图形用户界面，为企业提供了多种落地场景，以下是一些具体的应用实例：

1.1 设计与创意

  • 高效的设计工作流管理：企业可以通过ComfyUI构建和管理复杂的设计工作流，实现从概念到成品的高效转化。设计师可以将设计流程拆解成多个节点，如草图绘制、色彩搭配、细节调整等，然后通过节点的连接和组合，形成完整的设计流程。这种方式不仅提高了设计效率，还使得设计过程更加清晰和可控，方便团队协作和项目管理。
  • 个性化视觉内容创作：在品牌宣传、广告制作等场景中，企业可以利用ComfyUI生成独特的视觉效果。例如，根据品牌风格和市场定位，设计出符合品牌形象的海报、宣传册等视觉素材。ComfyUI的节点式工作流允许企业灵活调整设计元素和风格，快速响应市场变化，满足不同营销活动的视觉需求.

1.2 产品开发与原型设计

  • 快速原型制作：在产品开发初期，企业可以使用ComfyUI快速创建产品的界面原型和视觉效果图。通过节点的组合，设计师可以轻松调整界面布局、颜色、字体等元素，及时展示产品的初步设计概念，帮助团队成员和利益相关者更好地理解产品功能和外观。这有助于加快产品开发进度，降低开发成本.
  • 产品设计模拟与优化：企业还可以利用ComfyUI对产品设计进行模拟和优化。例如，在工业设计领域，通过模拟产品的外观、材质、结构等节点，企业可以预测产品的实际表现，发现潜在的设计问题。然后根据模拟结果，对产品设计进行调整和优化，提高产品的质量和市场竞争力.
    image.png

1.3 营销与推广

  • 营销素材生成与优化：在营销推广中，企业需要大量的视觉素材，如广告海报、社交媒体配图等。ComfyUI可以帮助企业快速生成高质量的营销素材。通过设置不同的节点参数，如风格、主题、元素等，企业可以根据不同营销渠道和目标受众的需求，生成多样化的视觉素材。同时，还可以通过A/B测试等方法，对生成的素材进行效果评估和优化，提高营销效果.
  • 个性化营销内容定制：ComfyUI还可以实现个性化营销内容的定制。企业可以根据客户的行为数据、偏好等信息，通过节点的动态调整，生成个性化的营销内容。例如，在电商领域，为不同客户推荐个性化的商品展示图和促销信息，提高客户的购买意愿和品牌忠诚度.

1.4 教育与培训

  • 教学资源开发：在教育行业，企业可以利用ComfyUI开发丰富的教学资源。例如，制作生动的课程插图、教学动画等，帮助学生更好地理解和掌握知识点。通过节点的组合和调整，教师可以根据教学进度和学生的反馈，灵活地更新和优化教学资源，提高教学效果.
  • 虚拟实训环境搭建：企业还可以使用ComfyUI搭建虚拟实训环境，为学生提供实践操作的机会。例如，在设计专业中，通过模拟真实的设计场景和工作流程，学生可以在虚拟环境中进行设计练习，提高实践能力和创新思维.

1.5 数据可视化与分析

  • 数据可视化展示：在数据分析和报告制作中，企业可以利用ComfyUI将复杂的数据信息转化为直观的可视化图表。通过设置不同的节点参数，如图表类型、颜色、布局等，企业可以根据数据的特点和分析目的，生成清晰、美观的数据可视化展示。这有助于企业更好地理解数据，发现数据背后的规律和趋势，为决策提供支持.
  • 数据驱动的决策支持：ComfyUI还可以与企业的数据管理系统相结合，实现数据驱动的决策支持。通过实时获取和分析企业运营数据，企业可以快速生成反映业务状况的可视化报告和仪表盘，为管理层提供及时、准确的决策依据。同时，还可以根据数据分析结果，调整企业的运营策略和资源配置，提高企业的运营效率和竞争力.
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