mirror of
https://git.datalinker.icu/comfyanonymous/ComfyUI
synced 2026-08-16 02:30:02 +08:00
92 lines
4.2 KiB
Bash
92 lines
4.2 KiB
Bash
# ----- 链接模型 ------------
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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
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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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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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# 将上面的 nunchaku自定义节点先注释掉，看看下面的 encrypt image是否就正常了
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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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