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        "You can replace this part with another image preprocessor. \n\nRelated custom node: \n[comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n\n可以把这部分替换成其它的图像预处理器\n"
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        "Test around with the shift value to get your prefered resutls, you can also disable it."
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        "[Tutorial](https://docs.comfy.org/tutorials/video/wan/vace) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/vace)\n\n\n**diffusion_models** \n\n- [Wan2.1-VACE-14B-GGUF](https://huggingface.co/QuantStack/Wan2.1-VACE-14B-GGUF)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors?download=true)\n\n**Text encoders**   Chose one of following model\n- [umt5_xxl_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp16.safetensors?download=true)\n- [umt5_xxl_fp8_e4m3fn_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors?download=true)\n- [umt5-xxl-encoder-gguf](https://huggingface.co/city96/umt5-xxl-encoder-gguf/tree/main)\n\n> You can choose between fp16, fp8 and ggufs.\n\n**CausVidLora(Optional for a lot more speed)**\n- [Wan21_CausVid_14B_T2V_lora_rank32.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_CausVid_14B_T2V_lora_rank32.safetensors?download=true)\n\n\n\nFile save location\n\n```\nComfyUI/\n├── models/\n│   ├── loras/\n│   │   └─── Wan21_CausVid_14B_T2V_lora_rank32.safetensors\n│   ├── unet/\n│   │   └─── Wan2.1-VACE-14B-Qx_x_x.gguf\n│   ├── text_encoders/\n│   │   └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors # or GGUF (umt5-xxl-encoder-Qx_x.gguf)\n│   └── vae/\n│       └──  wan_2.1_vae.safetensors\n\n```\n"
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        "IF you have 32gb but only 12/16gb or even less vram, you might want to use the \"Low Vram high ram\" loader to offload parts of the model to prevent out of memory errors. You can use this on any card, it can be useful even on a 4090, though be careful with only 16gb ram, you might need to change the virtual vram gb to less."
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        "Feel free to enabled those two Optimizations if you have updated torch, and for the one on the left sage attention installed."
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        "If you want to speed up your generation by 5x or more, use the causvid lora in the lora loader. If you enable this, you can set the steps to around 4-6 and have to set cfg to 1. \nThat way it can generate a good looking output video in a lot less time."
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        "Make sure to use roughly the same frame amount and framerate for your input video, as you do for the generation. \n\nAlso make sure to set width and  height in this node, otherwise you might run into ooms with the canny node. If you replace that part feel free to change this though."
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