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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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| "Since umt5 is a variant based on T5, the input of prompt supports multiple languages.\n\n---\n\n由于 umt5 是基于 T5 的变体，所以提示词输入是支持多种语言输入的" |
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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. (more than 5x speedup is possible)" |
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| "\n\n**diffusion_models** \n\n- [Phantom_Wan_14B-GGUF](https://huggingface.co/QuantStack/Phantom_Wan_14B-GGUF/tree/main)\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_v1_5_no_first_block.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors?download=true)\n\n\n\nFile save location\n\n```v\nComfyUI/\n├── models/\n│ ├── loras/\n│ │ └─── Wan21_CausVid_14B_T2V_lora_rank32_v1_5_no_first_block.safetensors\n│ ├── unet/\n│ │ └─── Phantom_Wan_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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