Comfy UI 是一种节点化操作界面，它比其他WebUI更容易操作和微调，特别适合复现和调整图像效果。通过熟练使用，还可以定制个性化工作流程。

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什么是Comfy UI？

Comfy UI 是基于节点的操作界面，特别适用于Stable Diffusion XL 1.0模型。你可以直观地看到不同模型（如Base模型、Refiner精炼模型）生成的效果图。其高可控性让你能轻松复现和微调图像效果，熟练之后还能定制个人工作流。

AI绘画保姆级教程！比Remini更好的黏土风格_黏土_02


如何在LooPIN上安装Comfy UI

1. 配置GPU实例

访问 LooPIN流动性池，使用$LOOPIN代币购买GPU时间。选择合适的GPU型号，如RTX 3080。

2. 兑换GPU资源

选择需要的$LOOPIN代币数量，通过滑块选择GPU数量，确认并完成交易。

3. 进入Jupyter Notebook

交易成功后，进入Rented Servers的Server区域，访问你的远程服务器，启动Jupyter Notebook（一般需2-4分钟）。

4. 验证GPU

在Jupyter Notebook中，打开终端窗口，运行nvidia-smi命令检查GPU是否已激活。

安装Comfy UI

1. 下载并安装Comfy UI
git clone https://github.com/comfyanonymous/ComfyUI.git && cd ComfyUI
2. 安装Python依赖
pip install xformers!=0.0.18 -r requirements.txt --extra-index-url https://download.pytorch.org/whl/cu121 --extra-index-url https://download.pytorch.org/whl/cu118 --extra-index-url https://download.pytorch.org/whl/cu117
3. 安装ComfyUI-Manager
cd /workspace/ComfyUI/custom_nodes
git clone https://github.com/ltdrdata/ComfyUI-Manager.git
4. 下载并安装Cloudflare tunnel
wget https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb
dpkg -i cloudflared-linux-amd64.deb

启动Comfy UI

在Comfy UI下新建Jupyter Notebook，使用Cloudflare暴露端口：

import subprocess
import threading
import time
import socket

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='')

threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()
!python main.py --dont-print-server

等待Cloudflare输出内网穿透的连接。

安装粘土风格工作流

1. 加载粘土风格工作流

我们使用XIONGMU的开源Comfy UI工作流（下载链接）。

2. 安装所需节点

在Comfy UI选择Load加载工作流后，打开右下角的Manager，点击Install Missing Custom Nodes安装缺失的节点（共11个），安装完成后点击restart重启Comfy UI。

下载所需模型

1. Checkpoint基础模型
wget https://huggingface.co/RunDiffusion/Juggernaut-XL-v9/resolve/main/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors -O /workspace/ComfyUI/models/checkpoints/Juggernaut-XL_v9_RunDiffusionPhoto_v2.safetensors
2. Lora模型
wget -c https://files.loopin.network/docs/tutorials/comfyui/DD-made-of-clay-XL-v2.safetensors -O /workspace/ComfyUI/models/loras/DD-made-of-clay-XL-v2.safetensors
wget -c https://files.loopin.network/docs/tutorials/comfyui/CLAYMATE_V2.03_.safetensors -O /workspace/ComfyUI/models/loras/CLAYMATE_V2.03_.safetensors
3. Controlnet模型
wget https://huggingface.co/stabilityai/control-lora/resolve/main/control-LoRAs-rank256/control-lora-canny-rank256.safetensors -O /workspace/ComfyUI/models/controlnet/sai_xl_canny_256lora.safetensors
4. IPAdapter模型
mkdir /workspace/ComfyUI/models/ipadapter
wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl_vit-h.safetensors -O /workspace/ComfyUI/models/ipadapter/ip-adapter_sdxl_vit-h.safetensors
wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus_sdxl_vit-h.safetensors -O /workspace/ComfyUI/models/ipadapter/ip-adapter-plus_sdxl_vit-h.safetensors
wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter-plus-face_sdxl_vit-h.safetensors -O /workspace/ComfyUI/models/ipadapter/ip-adapter-plus-face_sdxl_vit-h.safetensors
wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/ip-adapter_sdxl.safetensors -O /workspace/ComfyUI/models/ipadapter/ip-adapter_sdxl.safetensors
5. ClipVision模型
wget https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors -O /workspace/ComfyUI/models/clip_vision/CLIP-ViT-H-14-laion2B-s32B-b79K.safetensors && wget https://huggingface.co/h94/IP-Adapter/resolve/main/sdxl_models/image_encoder/model.safetensors -O /workspace/ComfyUI/models/clip_vision/CLIP-ViT-bigG-14-laion2B-39B-b160k.safetensors

测试生成图片

AI绘画保姆级教程！比Remini更好的黏土风格_ComfyUI_03

在Comfy UI界面：

  1. 上传原始图片（点击Load Image处的choose file to upload）。
  2. 点击Queue Prompt按钮开始生成图片。
  3. 等待5-10秒，生成的图片会显示在界面上。

总结

本教程介绍了如何在LooPIN平台上部署Stable Diffusion的Comfy UI，并体验粘土风格滤镜效果。未来我们将探索更多Comfy UI的高级功能和应用。