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视频 /
Wan 2.2 14B Fun Inpainting
Wan 2.2 14B Fun Inpainting
Wan 2.2 14B Fun Inpaint
使用 Wan 2.2 Fun Inpainting，根据起始帧与结束帧生成视频。
视频
38 个节点 2 个输入 14 次使用 ComfyUI ≥ 0.3.46 ComfyUI 53 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_inpaint_high_noise_14B_fp8_scaled.safetensors
在模型库查看
wan2.2_fun_inpaint_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
ModelSamplingSD3
× 4
KSamplerAdvanced
× 4
LoadImage
× 4
CLIPLoader
× 2
VAELoader
× 2
LoraLoaderModelOnly
× 2
VAEDecode
× 2
WanFunInpaintToVideo
× 2
CreateVideo
× 2
SaveVideo
× 2
Note
× 2
MarkdownNote
× 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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1959 "## 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-inp\n) \n\n**Diffusion Model**\n- [wan2.2_fun_inpaint_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_inpaint_high_noise_14B_fp8_scaled.safetensors) (13.31 GB)\n- [wan2.2_fun_inpaint_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_inpaint_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_inpaint_high_noise_14B_fp8_scaled.safetensors\n│ │ └─── wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors\n│ ├───📂 loras/\n│ │ ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_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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