インストールコマンド
from pathlib import Path
import subprocess
import threading
import time
import socket
!pip install -q torch==2.0.1+cu118 torchvision==0.15.2+cu118 torchaudio==2.0.2+cu118 torchtext==0.15.2 torchdata==0.6.1 --extra-index-url <https://download.pytorch.org/whl/cu118> -U
!pip install -q xformers==0.0.20 triton==2.0.0 gradio_client==0.2.7 -U
!apt -y install -qq aria2
!pip install controlnet-aux==0.0.7 onnxruntime onnxruntime-gpu insightface lpips
# 定数と設定
WORKSPACE = '/content/ComfyUI'
UPDATE_COMFY_UI = True
# ComfyUIのセットアップと更新
if not Path(WORKSPACE).exists():
%cd /content
print("-= Initial setup ComfyUI =-")
!git clone <https://github.com/comfyanonymous/ComfyUI>
else:
%cd $WORKSPACE
print("-= Updating ComfyUI =-")
!git pull
%cd $WORKSPACE/custom_nodes
!git clone <https://github.com/ltdrdata/ComfyUI-Manager.git>
!git clone <https://github.com/melMass/comfy_mtb>
!git clone <https://github.com/cubiq/ComfyUI_IPAdapter_plus>
!git clone <https://github.com/mav-rik/facerestore_cf>
!git clone <https://github.com/rgthree/rgthree-comfy>
!git clone <https://github.com/WASasquatch/was-node-suite-comfyui>
# facerestore_cfの対応
!mkdir /content/ComfyUI/models/facerestore_models
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://github.com/sczhou/CodeFormer/releases/download/v0.1.0/codeformer.pth> -d /content/ComfyUI/models/facerestore_models -o codeformer.pth
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth> -d /content/ComfyUI/models/facerestore_models -o GFPGANv1.4.pth
# Upscaleのモデルをダウンロード
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/embed/upscale/resolve/main/4x-UltraSharp.pth> -d /content/ComfyUI/models/upscale_models -o 4x-UltraSharp.pth
# IP-Adapterのモデルをダウンロード
## models
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/pytorch_model.bin> -d /content/ComfyUI/models/clip_vision/SD1.5 -o pytorch_model.bin
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/image_encoder/model.safetensors> -d /content/ComfyUI/models/clip_vision -o models.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15.bin> -d /content/ComfyUI/models/ipadapter -o ip-adapter-faceid_sd15.bin
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15_lora.safetensors> -d /content/ComfyUI/models/loras -o ip-adapter-faceid_sd15_lora.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter-FaceID/resolve/main/ip-adapter-faceid_sd15_lora.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter-faceid_sd15_lora.safetensors
# ComfyUI_IPAdapter_plusで利用するモデルをダウンロード
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-full-face_sd15.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter-full-face_sd15.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus-face_sd15.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter-plus-face_sd15.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter-plus_sd15.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter-plus_sd15.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter_sd15.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_light.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter_sd15_light.safetensors
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/h94/IP-Adapter/resolve/main/models/ip-adapter_sd15_vit-G.safetensors> -d /content/ComfyUI/models/ipadapter -o ip-adapter_sd15_vit-G.safetensors
# ネガティブプロンプト
!git clone <https://huggingface.co/embed/negative> $WORKSPACE/models/embeddings/negative
!wget -c -P $WORKSPACE/models/embeddings/negative/
%cd $WORKSPACE
# 依存関係のインストール
print("-= Install dependencies =-")
!pip install xformers!=0.0.18 -r requirements.txt --extra-index-url <https://download.pytorch.org/whl/cu118> --extra-index-url <https://download.pytorch.org/whl/cu118>
# VAEのダウンロード
!wget -c <https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors> -P ./models/vae/
#checkpointをダウンロード
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://civitai.com/api/download/models/177164> -d /content/ComfyUI/models/checkpoints -o braBeautifulRealistic_v70.safetensors
# LoRAのダウンロード
!aria2c --console-log-level=error -c -x 16 -s 16 -k 1M <https://huggingface.co/latent-consistency/lcm-lora-sdv1-5/resolve/main/pytorch_lora_weights.safetensors> -d /content/ComfyUI/models/loras -o lcm-lora-sdv1-5_lora_weights.safetensors
# cloudflaredのダウンロードとインストール
!wget <https://github.com/cloudflare/cloudflared/releases/latest/download/cloudflared-linux-amd64.deb>
!dpkg -i cloudflared-linux-amd64.deb
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", f"<http://127.0.0.1>:{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='')
# スレッドの開始
threading.Thread(target=iframe_thread, daemon=True, args=(8188,)).start()
# ComfyUIの実行
!python main.py --dont-print-server
利用ファイル
materials.zip