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  173. "title": "About CausVid LoRA",
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  176. "You may need to test different LoRA strength to get the best results. Test within the range of 0.3 to 1. \nWhen we were testing the workflow, we found that sometimes there are relatively obvious artifacts when the intensity is around 0.5. The effect is sometimes quite good when it's above 0.7. When the value is too high, it will be overly saturated. \n\n---\n\n\n你可能需要测试不同的 LoRA 强度来获取最好的结果，0.3～1 之间进行测试，我们在测试工作流时发现，有时候 0.5 左右会有比较明显的伪影，0.7 后效果有时还不错，但数值过高时会过于饱和。\n"
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  199. "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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  264. "title": "About Video Size",
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  267. "| Model | 480P | 720P |\n| ------------------------------------------------------------ | ---- | ---- |\n| [VACE-1.3B](https://huggingface.co/Wan-AI/Wan2.1-VACE-1.3B) | ✅ | ❌ |\n| [VACE-14B](https://huggingface.co/Wan-AI/Wan2.1-VACE-14B) | ✅ | ✅ |"
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  291. "## Default\n\n- steps:20\n- cfg:4.0\n\n## [For CausVid LoRA](https://www.reddit.com/r/StableDiffusion/comments/1knuafk/causvid_lora_massive_speedup_for_wan21_made_by/)\n\n- steps: 2-4\n- cfg: 1.0\n\n"
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  692. "title": "Note",
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  695. "The generation quality of the 14B model is better, but it takes longer to generate. If you have already downloaded the model, you can choose to directly use the nodes above, or just modify the model loaded by the loader node.\n\nThe corresponding LoRA should match the Diffusion Model. For example, the LoRA corresponding to the 14B diffusion model is the 14B LoRA. \n\n---\n\n14B 的生成质量更好，但是需要更长的时间去生成，如果你下载好了模型，你可以选择直接使用上面的节点，或者只是修改 loader 节点加载的模型。\n\n对应的 LoRA 应该是和 Diffusion Model匹配的，比如 14B 的 diffusion model 对应的是 14B 的 LoRA"
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  870. "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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  933. "[Tutorial](https://docs.comfy.org/tutorials/video/wan/vace) | [教程](https://docs.comfy.org/zh-CN/tutorials/video/wan/vace)\n\n[Causvid Lora extracted by Kijai](https://www.reddit.com/r/StableDiffusion/comments/1knuafk/causvid_lora_massive_speedup_for_wan21_made_by/) Thanks to CausVid MIT\n\n## 14B Support 480P 720P\n\n**Diffusion Model**\n- [wan2.1_vace_14B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_vace_14B_fp16.safetensors)\n\n**LoRA**\n- [Wan21_CausVid_14B_T2V_lora_rank32.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_CausVid_14B_T2V_lora_rank32.safetensors)\n\nIt takes about 40 minutes to complete at 81 frames 720P resolution with the RTX 4090 . \nAfter using Wan21_CausVid_14B_T2V_lora_rank32.safetensors, it only takes about 4 minutes.\n\n## 1.3B Support 480P only\n\n**Diffusion Model**\n- [wan2.1_vace_1.3B_fp16.safetensors](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/diffusion_models/wan2.1_vace_14B_fp16.safetensors)\n\n**LoRA**\n- [Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors](https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors)\n \n\n## Other Models\n\n* You may already have these models if you use Wan workflow before.\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\n> You can choose between fp16 of fp8; I used fp16 to match what kijai's wrapper is compatible with.\n\nFile save location\n\n```\nComfyUI/\n├── models/\n│ ├── diffusion_models/\n│ │ ├-── wan2.1_vace_14B_fp16.safetensors\n│ │ └─── wan2.1_vace_1.3B_fp16.safetensors \n│ ├── text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors # or fp16\n│ ├── loras/\n│ │ ├── Wan21_CausVid_14B_T2V_lora_rank32.safetensors\n│ │ └── Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors\n│ └── vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
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