工作流 /
视频 /
Wan2.1 VACE 参考生视频
Wan2.1 VACE 参考生视频
Wan2.1 VACE Reference to Video
创建与参考图风格和内容相匹配的视频。非常适合风格一致的视频生成。
视频
39 个节点 1 个输入 37 次使用 ComfyUI ≥ 0.8.0 ComfyUI 41 KB
需要的权重
这个工作流引用了 7 个权重文件，其中 7 个能在本站模型库里找到。
Wan21_CausVid_14B_T2V_lora_rank32.safetensors
在模型库查看
Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors
在模型库查看
umt5_xxl_fp16.safetensors
在模型库查看
umt5_xxl_fp8_e4m3fn_scaled.safetensors
在模型库查看
wan2.1_vace_1.3B_fp16.safetensors
在模型库查看
wan2.1_vace_14B_fp16.safetensors
在模型库查看
wan_2.1_vae.safetensors
在模型库查看
节点构成
MarkdownNote
× 7
PrimitiveNode
× 3
UNETLoader
× 2
LoraLoader
× 2
CLIPLoader
× 2
SolidMask
× 2
MaskToImage
× 2
PreviewImage
× 2
LoadImage
× 2
CLIPTextEncode
× 2
BatchImagesNode
× 2
VAEDecode
× 1
SaveAnimatedWEBP
× 1
TrimVideoLatent
× 1
ModelSamplingSD3
× 1
ImageToMask
× 1
官方标注的模型
Wan2.1Wan
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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1279 "VACE does not use data with style reference for training. Currently, it only has the functions of object or background reference. Therefore, at \"Load reference image\", you should upload a image with a solid-colored background or a background image. At present, the WanVaceToVideo node only supports the input of a single reference_image image."
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1326 "[Tutorial](https://docs.comfy.org/tutorials/video/wan/vace)\n\n## 14B Support 480P 720P\n\n- [Hugging Face:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n**ModelScope mirrors** (alternative repo location)\n\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\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) (32.29 GB)\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_1.3B_fp16.safetensors) (4.01 GB)\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) (242.1 MB)\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) (10.59 GB)\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) (6.27 GB)\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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