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動画生成AIのWanをComfyUIで試すためのGoogle Colab用ノートブック
Raw
Wan_with_ComfyUI.sh
# #@title Environment Setup
### setup ComfyUI ###
from pathlib import Path
OPTIONS = {}
USE_GOOGLE_DRIVE = False #@param {type:"boolean"}
UPDATE_COMFY_UI = True #@param {type:"boolean"}
USE_COMFYUI_MANAGER = True #@param {type:"boolean"}
INSTALL_CUSTOM_NODES_DEPENDENCIES = True #@param {type:"boolean"}
OPTIONS['USE_GOOGLE_DRIVE'] = USE_GOOGLE_DRIVE
OPTIONS['UPDATE_COMFY_UI'] = UPDATE_COMFY_UI
OPTIONS['USE_COMFYUI_MANAGER'] = USE_COMFYUI_MANAGER
OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES'] = INSTALL_CUSTOM_NODES_DEPENDENCIES
current_dir = !pwd
WORKSPACE = f"{current_dir[0]}/ComfyUI"
if OPTIONS['USE_GOOGLE_DRIVE']:
!echo "Mounting Google Drive..."
%cd /
from google.colab import drive
drive.mount('/content/drive')
WORKSPACE = "/content/drive/MyDrive/ComfyUI"
%cd /content/drive/MyDrive
![ ! -d $WORKSPACE ] && echo -= Initial setup ComfyUI =- && git clone https://github.com/comfyanonymous/ComfyUI
%cd $WORKSPACE
if OPTIONS['UPDATE_COMFY_UI']:
!echo -= Updating ComfyUI =-
# Correction of the issue of permissions being deleted on Google Drive.
![ -f ".ci/nightly/update_windows/update_comfyui_and_python_dependencies.bat" ] && chmod 755 .ci/nightly/update_windows/update_comfyui_and_python_dependencies.bat
![ -f ".ci/nightly/windows_base_files/run_nvidia_gpu.bat" ] && chmod 755 .ci/nightly/windows_base_files/run_nvidia_gpu.bat
![ -f ".ci/update_windows/update_comfyui_and_python_dependencies.bat" ] && chmod 755 .ci/update_windows/update_comfyui_and_python_dependencies.bat
![ -f ".ci/update_windows_cu118/update_comfyui_and_python_dependencies.bat" ] && chmod 755 .ci/update_windows_cu118/update_comfyui_and_python_dependencies.bat
![ -f ".ci/update_windows/update.py" ] && chmod 755 .ci/update_windows/update.py
![ -f ".ci/update_windows/update_comfyui.bat" ] && chmod 755 .ci/update_windows/update_comfyui.bat
![ -f ".ci/update_windows/README_VERY_IMPORTANT.txt" ] && chmod 755 .ci/update_windows/README_VERY_IMPORTANT.txt
![ -f ".ci/update_windows/run_cpu.bat" ] && chmod 755 .ci/update_windows/run_cpu.bat
![ -f ".ci/update_windows/run_nvidia_gpu.bat" ] && chmod 755 .ci/update_windows/run_nvidia_gpu.bat
!git pull
!echo -= Install dependencies =-
!pip3 install accelerate
!pip3 install einops transformers>=4.28.1 safetensors>=0.4.2 aiohttp pyyaml Pillow scipy tqdm psutil tokenizers>=0.13.3
!pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu121
!pip3 install torchsde
!pip3 install kornia>=0.7.1 spandrel soundfile sentencepiece
if OPTIONS['USE_COMFYUI_MANAGER']:
%cd custom_nodes
# Correction of the issue of permissions being deleted on Google Drive.
![ -f "ComfyUI-Manager/check.sh" ] && chmod 755 ComfyUI-Manager/check.sh
![ -f "ComfyUI-Manager/scan.sh" ] && chmod 755 ComfyUI-Manager/scan.sh
![ -f "ComfyUI-Manager/node_db/dev/scan.sh" ] && chmod 755 ComfyUI-Manager/node_db/dev/scan.sh
![ -f "ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh" ] && chmod 755 ComfyUI-Manager/scripts/install-comfyui-venv-linux.sh
![ -f "ComfyUI-Manager/scripts/install-comfyui-venv-win.bat" ] && chmod 755 ComfyUI-Manager/scripts/install-comfyui-venv-win.bat
![ ! -d ComfyUI-Manager ] && echo -= Initial setup ComfyUI-Manager =- && git clone https://github.com/ltdrdata/ComfyUI-Manager
%cd ComfyUI-Manager
!git pull
%cd $WORKSPACE
if OPTIONS['INSTALL_CUSTOM_NODES_DEPENDENCIES']:
!echo -= Install custom nodes dependencies =-
!pip install GitPython
!python custom_nodes/ComfyUI-Manager/cm-cli.py restore-dependencies
# ModuleNotFoundError: No module named 'av'がでるため、あらかじめavをインストール
!pip install av
### setup Wan ###
!mkdir -p {WORKSPACE}/models/checkpoints
#@markdown ---
#@markdown ## モデル選択
#@markdown ### Wan 2.2 T2Vモデル 14B
use_wan2_2_t2v_a14b = False #@param {type:"boolean"}
#@markdown ### Wan 2.2 I2Vモデル 14B
use_wan2_2_i2v_a14b = False #@param {type:"boolean"}
#@markdown ### Wan 2.2 TI2Vモデル 5B
use_wan2_2_ti2v_5b = False #@param {type:"boolean"}
WAN22_REPO="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files"
# T2V‑A14B
if use_wan2_2_t2v_a14b:
!wget -c "$WAN22_REPO/diffusion_models/wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -c "$WAN22_REPO/diffusion_models/wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "$WAN22_REPO/vae/wan_2.1_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
# I2V‑A14B
if use_wan2_2_i2v_a14b:
!wget -c "$WAN22_REPO/diffusion_models/wan2.2_i2v_high_noise_14B_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -c "$WAN22_REPO/diffusion_models/wan2.2_i2v_low_noise_14B_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "$WAN22_REPO/vae/wan_2.1_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
# TI2V‑5B
if use_wan2_2_ti2v_5b:
!wget -c "$WAN22_REPO/diffusion_models/wan2.2_ti2v_5B_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -c "$WAN22_REPO/vae/wan2.2_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
#@markdown ### Wan 2.2 S2V（音声駆動） 14B
use_wan2_2_s2v_14b = False #@param {type:"boolean"}
WAN22_REPO = "https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files"
if use_wan2_2_s2v_14b:
!mkdir -p {WORKSPACE}/models/audio_encoders
!wget -c "{WAN22_REPO}/diffusion_models/wan2.2_s2v_14B_fp8_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "{WAN22_REPO}/diffusion_models/wan2.2_s2v_14B_bf16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "{WAN22_REPO}/audio_encoders/wav2vec2_large_english_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/audio_encoders
!wget -nc "{WAN22_REPO}/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/text_encoders
!wget -nc "{WAN22_REPO}/vae/wan_2.1_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
!apt-get update -qq && apt-get install -y -qq ffmpeg
#@markdown Lightning LoRA 4-step を使って高速化する
#@markdown （S2V向けに学習されたLoRAではないため動きや画質が低下します。不要ならバイパスして利用してください）
!wget -nc "{WAN22_REPO}/loras/wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors" \
--directory-prefix={WORKSPACE}/models/loras
#@markdown ### Wan 2.2 Animate 14B
use_wan2_2_animate_14b = False #@param {type:"boolean"}
if use_wan2_2_animate_14b:
WAN22_REPACK="https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files"
!wget -c "{WAN22_REPACK}/diffusion_models/wan2.2_animate_14B_bf16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "{WAN22_REPACK}/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/text_encoders
!wget -nc "{WAN22_REPACK}/vae/wan_2.1_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
!mkdir -p {WORKSPACE}/models/wan_animate/process_checkpoint/det
!mkdir -p {WORKSPACE}/models/wan_animate/process_checkpoint/pose2d
!mkdir -p {WORKSPACE}/models/wan_animate/process_checkpoint/sam2
# YOLO (人物・物体検出)
!wget -c "https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/process_checkpoint/det/yolov10m.onnx" \
--directory-prefix={WORKSPACE}/models/wan_animate/process_checkpoint/det
# ViTPose (全身キーポイント)
!wget -c "https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/process_checkpoint/pose2d/vitpose_h_wholebody.onnx" \
--directory-prefix={WORKSPACE}/models/wan_animate/process_checkpoint/pose2d
# SAM 2 (セグメンテーション - small / base+ / large)
!wget -c "https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/process_checkpoint/sam2/sam2_hiera_small.pt" \
--directory-prefix={WORKSPACE}/models/wan_animate/process_checkpoint/sam2
!wget -c "https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/process_checkpoint/sam2/sam2_hiera_base_plus.pt" \
--directory-prefix={WORKSPACE}/models/wan_animate/process_checkpoint/sam2
!wget -c "https://huggingface.co/Wan-AI/Wan2.2-Animate-14B/resolve/main/process_checkpoint/sam2/sam2_hiera_large.pt" \
--directory-prefix={WORKSPACE}/models/wan_animate/process_checkpoint/sam2
# Lightx2v LoRA（I2V 14B 480p distill rank64, bf16）
!wget -c -O {WORKSPACE}/models/loras/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors \
"https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors"
# WanAnimate relight LoRA（fp16）
!wget -c -O {WORKSPACE}/models/loras/WanAnimate_relight_lora_fp16.safetensors \
"https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_relight/WanAnimate_relight_lora_fp16.safetensors"
# Wan 2.2 Animate 14B（Kijai fp8_e4m3fn_scaled版）
!wget -c -O {WORKSPACE}/models/diffusion_models/Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors \
"https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/resolve/main/Wan22Animate/Wan2_2-Animate-14B_fp8_e4m3fn_scaled_KJ.safetensors"
# 共通：T5 テキストエンコーダ
!wget -nc "$WAN22_REPO/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/text_encoders
#@markdown ### WAN 2.2 Rapid AIO 14B Mega v7（Phr00t）
#@markdown ワークフローは[Mega v3用](https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne/resolve/main/Mega-v3/Rapid-AIO-Mega.json)のものを利用します
use_wan22_rapid_mega_v7 = False #@param {type:"boolean"}
use_wan22_rapid_mega_v7_1_nsfw = False #@param {type:"boolean"}
WAN22_RAPID_AIO_REPO = "https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne/resolve/main"
# Mega v7 通常版
if use_wan22_rapid_mega_v7:
!wget -c "{WAN22_RAPID_AIO_REPO}/Mega-v7/wan2.2-rapid-mega-aio-v7.safetensors" --directory-prefix={WORKSPACE}/models/checkpoints
# Mega v7.1 NSFW 版
if use_wan22_rapid_mega_v7_1_nsfw:
!wget -c "{WAN22_RAPID_AIO_REPO}/Mega-v7/wan2.2-rapid-mega-aio-nsfw-v7.1.safetensors" --directory-prefix={WORKSPACE}/models/checkpoints
#@markdown ### WAN 2.2 Rapid All-In-One 14B（Phr00t）
use_wan22_rapid_aio_t2v = False #@param {type:"boolean"}
#@markdown ※ワークフローは[T2V版](https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne/resolve/main/wan2.2-t2v-rapid-aio-example.json)のものを利用します
use_wan22_rapid_aio_i2v = False #@param {type:"boolean"}
#@markdown ※ワークフローは[I2V版](https://huggingface.co/Phr00t/WAN2.2-14B-Rapid-AllInOne/resolve/main/wan2.2-i2v-rapid-aio-example.json)のものを利用します
if use_wan22_rapid_aio_t2v:
# Text-to-Video 版
!wget -c "{WAN22_RAPID_AIO_REPO}/wan2.2-t2v-rapid-aio.safetensors" --directory-prefix={WORKSPACE}/models/checkpoints
if use_wan22_rapid_aio_i2v:
# Image-to-Video 版
!wget -c "{WAN22_RAPID_AIO_REPO}/wan2.2-i2v-rapid-aio.safetensors" --directory-prefix={WORKSPACE}/models/checkpoints
#@markdown ### Wan 2.1 I2Vモデル 480p 14B
use_i2v_480p_14b = False #@param {type: "boolean"}
if use_i2v_480p_14b:
!wget "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_bf16.safetensors" --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 I2Vモデル 720p 14B
use_i2v_720p_14b = False #@param {type: "boolean"}
if use_i2v_720p_14b:
!wget "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_i2v_720p_14B_bf16.safetensors" --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 T2Vモデル 1.3B
use_t2v_1_3b = False #@param {type: "boolean"}
if use_t2v_1_3b:
!wget "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_1.3B_bf16.safetensors" --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 T2Vモデル 14B
use_t2v_14b = False #@param {type: "boolean"}
if use_t2v_14b:
!wget "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_bf16.safetensors" --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 ani_Wan2_1_14B_fp8_e4m3fn T2Vモデル 14B
#@markdown [公式ページ](https://civitai.com/models/1626197)
use_ani_wan2_1_14b_fp8_e4m3fn_t2v = False #@param {type: "boolean"}
if use_ani_wan2_1_14b_fp8_e4m3fn_t2v:
!wget "https://civitai.com/api/download/models/1840561" --content-disposition --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 ani_Wan2_1_14B_fp8_e4m3fn I2Vモデル 14B
#@markdown [公式ページ](https://civitai.com/models/1626197)
use_ani_wan2_1_14b_fp8_e4m3fn_i2v = False #@param {type: "boolean"}
if use_ani_wan2_1_14b_fp8_e4m3fn_i2v:
!wget "https://civitai.com/api/download/models/1852433" --content-disposition --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 ani_Wan2_1_14B_fp8_e4m3fn T2Vモデル 1.3B
#@markdown [公式ページ](https://civitai.com/models/1626197)
use_ani_wan2_1_1_3b_fp8_e4m3fn_t2v = False #@param {type: "boolean"}
if use_ani_wan2_1_1_3b_fp8_e4m3fn_t2v:
!wget "https://civitai.com/api/download/models/1842026" --content-disposition --directory-prefix={WORKSPACE}/models/diffusion_models
#@markdown ### Wan 2.1 VACE FP16 14B
use_vace_14b = False #@param {type:"boolean"}
#@markdown ### Wan 2.1 VACE FP16 1.3B
use_vace_1_3b = False #@param {type:"boolean"}
#@markdown ### Wan2.1 1.3B + CausVid LoRA
use_causvid_lora_13b = False #@param {type:"boolean"}
VACE_REPO = "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models"
#@markdown ### Wan2.1-Fun-Control-14B from Kijai
#@markdown [公式ページ](https://huggingface.co/Kijai/WanVideo_comfy)
use_wan_fun_control_14b = False #@param {type: "boolean"}
if use_wan_fun_control_14b:
!wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2.1-Fun-Control-14B_fp8_e4m3fn.safetensors --directory-prefix={WORKSPACE}/models/diffusion_models
!wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/open-clip-xlm-roberta-large-vit-huge-14_visual_fp16.safetensors --directory-prefix={WORKSPACE}/models/clip_vision
!wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors --directory-prefix={WORKSPACE}/models/text_encoders
!wget https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan2_1_VAE_bf16.safetensors --directory-prefix={WORKSPACE}/models/vae
install_wan_nodes = use_vace_14b or use_vace_1_3b or use_wan_fun_control_14b
#@markdown ### Wan2.1-Fun-Control-14Bを用いたオススメワークフロー
#@markdown - [Wan_Restyledfirstframe_workflow]((https://civitai.com/models/1376578?modelVersionId=1588367)
#@markdown ### GGUFモデル
#@markdown ### I2Vモデル 14B Q6
use_gguf_i2v_14b_q6 = False #@param {type: "boolean"}
if use_gguf_i2v_14b_q6:
!wget "https://huggingface.co/city96/Wan2.1-I2V-14B-720P-gguf/resolve/main/wan2.1-i2v-14b-720p-Q6_K.gguf" --directory-prefix={WORKSPACE}/models/diffusion_models
# GGUFモデルが有効化されている場合は対応する拡張機能も併せてダウンロードする
if use_gguf_i2v_14b_q6:
%cd $WORKSPACE/custom_nodes
!git clone https://github.com/city96/ComfyUI-GGUF
!pip install -r requirements.txt
!pip install gguf
%cd $WORKSPACE
# CausVid LoRA
if use_causvid_lora_13b:
!wget -c "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors" \
--directory-prefix={WORKSPACE}/models/loras
# VACE関連のセットアップ
if use_vace_14b:
!wget -c "$VACE_REPO/wan2.1_vace_14B_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
if use_vace_1_3b:
!wget -c "$VACE_REPO/wan2.1_vace_1.3B_fp16.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget -nc "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors" \
--directory-prefix={WORKSPACE}/models/text_encoders
!wget -nc "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors" \
--directory-prefix={WORKSPACE}/models/vae
if install_wan_nodes:
%cd $WORKSPACE/custom_nodes
# WanVideoWrapper
!git clone https://github.com/kijai/ComfyUI-WanVideoWrapper.git
%cd ComfyUI-WanVideoWrapper
!pip install -r requirements.txt
%cd ..
# KJNodes
!git clone https://github.com/kijai/ComfyUI-KJNodes.git
%cd ComfyUI-KJNodes
!pip install -r requirements.txt
%cd ..
# VideoHelperSuite
!git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite.git
%cd ComfyUI-VideoHelperSuite
!pip install -r requirements.txt
%cd ..
# ControlNet Aux
!git clone https://github.com/Fannovel16/comfyui_controlnet_aux.git
%cd comfyui_controlnet_aux
!pip install -r requirements.txt
%cd ..
# Essentials
!git clone https://github.com/cubiq/ComfyUI_essentials.git
%cd ComfyUI_essentials
!pip install -r requirements.txt
%cd ..
# download text_encoders
!wget -nc "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/umt5-xxl-enc-bf16.safetensors" --directory-prefix={WORKSPACE}/models/text_encoders
%cd {WORKSPACE}
#@markdown ### Smartphone Snapshot Photo Reality LoRA (Wan2.1 T2IV 14B)
#@markdown [公式ページ](https://civitai.com/models/1763826)
use_snapshot_photo_reality = False #@param {type:"boolean"}
if use_snapshot_photo_reality:
!wget -c "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_t2v_14B_fp8_e4m3fn.safetensors" \
--directory-prefix={WORKSPACE}/models/diffusion_models
!wget "https://civitai.com/api/download/models/1996092" \
--content-disposition \
--directory-prefix={WORKSPACE}/models/loras
!wget -c "https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors" \
--directory-prefix={WORKSPACE}/models/loras
!wget -c "https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/resolve/main/FusionX_LoRa/Wan2.1_T2V_14B_FusionX_LoRA.safetensors" \
--directory-prefix={WORKSPACE}/models/loras
# install custom nodes
%cd $WORKSPACE/custom_nodes
!git clone https://github.com/ClownsharkBatwing/RES4LYF.git
%cd RES4LYF
!if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
%cd $WORKSPACE
#@markdown ---
!wget -nc "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors" --directory-prefix={WORKSPACE}/models/text_encoders
!wget -nc "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors" --directory-prefix={WORKSPACE}/models/clip_vision
!wget -nc "https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors" --directory-prefix={WORKSPACE}/models/vae
### start comfyui ###
!wget -P ~ https://github.com/cloudflare/cloudflared/releases/latest/download/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
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