mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-08-16 02:03:31 +08:00
171 lines
6.5 KiB
Bash
171 lines
6.5 KiB
Bash
# ----- 链接模型 ------------
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# cosmos
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ln -s /kaggle/input/cosmos-predict2-2b-video2world-480p-16fps/cosmos_predict2_2B_video2world_480p_16fps.safetensors ./models/diffusion_models/cosmos_predict2_2B_video2world_480p_16fps.safetensors
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# sd lora
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ln -s /kaggle/input/moxinv1/MoXinV1.safetensors ./models/loras/MoXinV1.safetensors
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ln -s /kaggle/input/blindbox-v1-mix/blindbox_v1_mix.safetensors ./models/loras/blindbox_v1_mix.safetensors
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ln -s /kaggle/input/dreamshaper-8/dreamshaper_8.safetensors ./models/checkpoints/dreamshaper_8.safetensors
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#wan t2v
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ln -s /kaggle/input/wan-2-1-vae/wan_2.1_vae.safetensors ./models/vae/wan_2.1_vae.safetensors
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ln -s /kaggle/input/umt5-xxl-fp8-e4m3fn-scaled/umt5_xxl_fp8_e4m3fn_scaled.safetensors ./models/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors
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ln -s /kaggle/input/wan2-1-t2v-1-3b-fp16/wan2.1_t2v_1.3B_fp16.safetensors ./models/diffusion_models/wan2.1_t2v_1.3B_fp16.safetensors
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# wan vace
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#wan2.1_vace_1.3B_fp16.safetensors, 目前仅支持480P的视频，不能支持720P的。
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ln -s /kaggle/input/wan2-1-vace-1-3b-fp16/wan2.1_vace_1.3B_fp16.safetensors ./models/diffusion_models/wan2.1_vace_1.3B_fp16.safetensors
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ln -s /kaggle/input/wan21-causvid-bidirect2-t2v-1-3b-lora-rank32/Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors ./models/loras/Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors
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ln -s /kaggle/input/umt5-xxl-fp16/umt5_xxl_fp16.safetensors ./models/text_encoders/umt5_xxl_fp16.safetensors
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#wan2.1_vace_14B_fp16.safetensors, T4 16G 爆了
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# wget -c https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_vace_14B_fp16.safetensors -P ./models/diffusion_models
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# ln -s /kaggle/input/wan21-causvid-14b-t2v-lora-rank32/Wan21_CausVid_14B_T2V_lora_rank32.safetensors ./models/loras/Wan21_CausVid_14B_T2V_lora_rank32.safetensors
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#Flux kontext
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ln -s /kaggle/input/flux-ae/ae.safetensors ./models/vae/ae.safetensors
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ln -s /kaggle/input/clip-l/clip_l.safetensors ./models/text_encoders/clip_l.safetensors
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ln -s /kaggle/input/t5xxl-fp8-e4m3fn-scaled/t5xxl_fp8_e4m3fn_scaled.safetensors ./models/text_encoders/t5xxl_fp8_e4m3fn_scaled.safetensors
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# wget -c https://huggingface.co/Comfy-Org/flux1-kontext-dev_ComfyUI/resolve/main/split_files/diffusion_models/flux1-dev-kontext_fp8_scaled.safetensors -P ./models/diffusion_models
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#Flux dev
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ln -s /kaggle/input/flux1-dev-fp8/flux1-dev-fp8.safetensors ./models/checkpoints/flux1-dev-fp8.safetensors
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#nunchaku
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ln -s /kaggle/input/svdq-int4-r32-flux-1-kontext-dev/svdq-int4_r32-flux.1-kontext-dev.safetensors -P ./models/diffusion_models
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#SD3
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wget -c https://huggingface.co/Comfy-Org/stable-diffusion-3.5-fp8/resolve/main/sd3.5_large_fp8_scaled.safetensors -P /kaggle/working/
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ln -s /kaggle/working/sd3.5_large_fp8_scaled.safetensors ./models/checkpoints/sd3.5_large_fp8_scaled.safetensors
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#omnigen2
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# ln -s /kaggle/input/qwen-2-5-vl-fp16/qwen_2.5_vl_fp16.safetensors ./models/text_encoders/qwen_2.5_vl_fp16.safetensors
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# ln -s /kaggle/input/omnigen2-fp16/omnigen2_fp16.safetensors ./models/diffusion_models/omnigen2_fp16.safetensors
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# wget -c https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/diffusion_models/wan2.1_i2v_480p_14B_fp16.safetensors -P ./models/diffusion_models
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ln -s /kaggle/input/clip-vision-h/clip_vision_h.safetensors ./models/clip_vision/clip_vision_h.safetensors
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# ---------------- 安装自定义插件节点 ----------------
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# 1 ComfyUI-Manager
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cd custom_nodes
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git clone https://github.com/ltdrdata/ComfyUI-Manager comfyui-manager
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cd /kaggle/ComfyUI
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# 2 安装 nunchaku
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pip install facexlib
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pip install onnxruntime
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pip install insightface
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pip install https://huggingface.co/mit-han-lab/nunchaku/resolve/main/nunchaku-0.3.1+torch2.6-cp311-cp311-linux_x86_64.whl
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# wget -c https://huggingface.co/mit-han-lab/nunchaku-flux.1-kontext-dev/resolve/main/svdq-int4_r32-flux.1-kontext-dev.safetensors -P ./models/diffusion_models
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cd /kaggle/ComfyUI
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cd custom_nodes
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git clone https://github.com/mit-han-lab/ComfyUI-nunchaku nunchaku_nodes
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cd /kaggle/ComfyUI
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# 3 ComfyUI-GGUF
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# wget -c https://huggingface.co/city96/FLUX.1-dev-gguf/resolve/main/flux1-dev-Q3_K_S.gguf -P ./models/unet
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# cd custom_nodes
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# git clone https://github.com/city96/ComfyUI-GGUF
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# cd ComfyUI-GGUF
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# pip install --upgrade gguf
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# 4 encrypt image
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cd custom_nodes
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git clone https://github.com/Vander-Bilt/comfyui-encrypt-image.git
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cd /kaggle/ComfyUI
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#5 Prompts Generator
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cd custom_nodes
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git clone https://github.com/fairy-root/Flux-Prompt-Generator.git
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cd /kaggle/ComfyUI
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# 6 Custom-Scripts
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cd custom_nodes
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git clone https://github.com/Vander-Bilt/ComfyUI-Custom-Scripts.git
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cd /kaggle/ComfyUI
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# 7 save2hf
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cd custom_nodes
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git clone https://github.com/Vander-Bilt/save2hf.git
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cd save2hf
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pip install -r requirements.txt
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cd /kaggle/ComfyUI
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#class MyHTMLNode:
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cd custom_nodes
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git clone https://github.com/Vander-Bilt/MyHTMLNode.git
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cd /kaggle/ComfyUI
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# Define the server address, local, and remote port variables.
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# Usage: ./your_script_name.sh <server_address> <local_port> <remote_port>
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# Example: ./your_script_name.sh 111.170.148.226 8188 21664
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# Default values if arguments are not provided
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SERVER_ADDR=${1:-'111.170.148.226'}
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LOCAL_PORT=${2:-8188}
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REMOTE_PORT=${3:-21664}
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echo "Starting frp setup with server: $SERVER_ADDR, local port: $LOCAL_PORT, and remote port: $REMOTE_PORT"
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# Create a working directory if it doesn't exist
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mkdir -p /kaggle/working
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cd /kaggle/working
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# Download frp
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echo "Downloading frp_0.54.0_linux_amd64.tar.gz..."
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wget -O frp_0.54.0_linux_amd64.tar.gz https://github.com/fatedier/frp/releases/download/v0.54.0/frp_0.54.0_linux_amd64.tar.gz
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# Extract frp
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echo "Extracting frp..."
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tar -xzvf frp_0.54.0_linux_amd64.tar.gz -C .
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# Copy frpc executable
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echo "Copying frpc executable..."
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cp -p frp_0.54.0_linux_amd64/frpc .
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# Create frpc.toml configuration file
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echo "Creating frpc.toml configuration..."
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cat <<EOF > frpc.toml
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serverAddr = '$SERVER_ADDR'
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serverPort = 21661
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auth.method = "token"
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auth.token = "072083"
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[[proxies]]
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name = 'web-$REMOTE_PORT' # Name includes the remote port for clarity
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type = 'tcp'
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localIP = '127.0.0.1'
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localPort = $LOCAL_PORT
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remotePort = $REMOTE_PORT
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EOF
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# Make frpc executable
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echo "Setting execute permissions for frpc..."
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chmod +x frpc
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# Sleep for a bit (as in the original Python code)
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echo "Waiting for 3 seconds..."
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sleep 3
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cat frpc.toml
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# Start frpc in the background
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echo "Starting frpc..."
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./frpc -c frpc.toml &
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echo "frp has been started."
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echo "Remote access URL: http://$SERVER_ADDR:$REMOTE_PORT/"
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sleep 1
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cd /kaggle/ComfyUI |