工作流 /
视频 /
Wan 2.2 14B Fun Control
Wan 2.2 14B Fun Control
Wan 2.2 14B Fun Control
使用Wan万相Fun Control，通过姿态、深度和边缘控制生成视频。
视频
44 个节点 2 个输入 62 次使用 ComfyUI ≥ 0.3.50 ComfyUI 60 KB
需要的权重
这个工作流引用了 6 个权重文件，其中 6 个能在本站模型库里找到。
umt5_xxl_fp8_e4m3fn_scaled.safetensors
在模型库查看
wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors
在模型库查看
wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors
在模型库查看
wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors
在模型库查看
wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
在模型库查看
wan_2.1_vae.safetensors
在模型库查看
节点构成
UNETLoader
× 4
CLIPTextEncode
× 4
KSamplerAdvanced
× 4
ModelSamplingSD3
× 4
MarkdownNote
× 3
CreateVideo
× 2
VAEDecode
× 2
CLIPLoader
× 2
VAELoader
× 2
GetVideoComponents
× 2
PreviewImage
× 2
Canny
× 2
Wan22FunControlToVideo
× 2
LoraLoaderModelOnly
× 2
LoadImage
× 2
SaveVideo
× 2
官方标注的模型
Wan2.2Wan
工作流 JSON
和上面「下载工作流 JSON」是同一份文件。
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2131 "色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走"
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2250 "You may need the following custom nodes to preprocess the control video:\n1. [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)\n2. [ComfyUI-DepthAnythingV2](https://github.com/kijai/ComfyUI-DepthAnythingV2)\n\nYou can find the control video we use [here](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control).\n\nThis model supports multiple control conditions such as Canny, Depth, Pose, and trajectory control."
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2273 "Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed."
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2300 "## Model Links\n\n- [Hugging Face:Comfy-Org/Wan_2.2_ComfyUI_Repackaged](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\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_2.2_ComfyUI_Repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.2_ComfyUI_Repackaged)\n- [ModelScope:Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://modelscope.cn/models/Comfy-Org/Wan_2.1_ComfyUI_repackaged)\n\n[Tutorial](https://docs.comfy.org/tutorials/video/wan/wan2-2-fun-control\n) \n\n**Diffusion Model**\n- [wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors) (13.31 GB)\n- [wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/diffusion_models/wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors) (13.31 GB)\n\n**LoRA**\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors) (1.14 GB)\n- [wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/loras/wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors) (1.14 GB)\n\n**VAE**\n- [wan_2.1_vae.safetensors](https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors) (242.1 MB)\n\n**Text Encoder** \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) (6.27 GB)\n\nFile save location\n\n```\nComfyUI/\n├───📂 models/\n│ ├───📂 diffusion_models/\n│ │ ├─── wan2.2_fun_control_low_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_fun_control_high_noise_14B_fp8_scaled.safetensors\n│ ├───📂 loras/\n│ │ ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors\n│ │ └─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors\n│ ├───📂 text_encoders/\n│ │ └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors \n│ └───📂 vae/\n│ └── wan_2.1_vae.safetensors\n```\n"
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2324 "Wan2.2-Fun-Control is a 14B-parameter video generation model launched by Alibaba PAI, supporting multiple control conditions such as Canny, Depth, Pose and trajectory control. \n\nIt enables multi-resolution (512/768/1024) video prediction, trained with 81 frames and 16 FPS, and supports multilingual generation."
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