Wan Animated ComfyUI

压缩文件包含 1 个用于运行的 ComfyUI 工作流：

wan2.2-Animate.json

参考输出：

RTX4060 8GB 显存 + 32GB 内存（禁用人脸替换）：101fps x 496x896：提示执行耗时 00:14:24

RTX4070Ti Super 16GB 显存 + 32GB 内存：141fps x 560x992：提示执行耗时 00:11:36

RTX5080 笔记本 16GB 显存 + 64GB 内存：141fps x 560x992：提示执行耗时 00:12:44

要求：

模型：

• Wan2.2-Animate-14B(GGUF)，放置于：ComfyUI\models\unet

https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF/resolve/main/Wan2.2-Animate-14B-Q6_K.gguf

其他版本同理：

• umt5_xxl_fp8_e4m3fn_scaled.gguf (CLIP)，放置于：ComfyUI\models\text_encoders

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors

• wan_2.1_vae.safetensors (VAE)，放置于：ComfyUI\models\vae

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors

• clip_vision_h.safetensors (CLIP_VISION)，放置于：ComfyUI\models\clip_vision

https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors

• 可选 LoRA；放置于：ComfyUI\models\loras\

https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank128_bf16.safetensors

https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_relight/WanAnimate_relight_lora_fp16.safetensors

/model/1789152

/model/1434650

ComfyUI 节点：

• rgthree-comfy

• ComfyUI-KJNodes

• ComfyUI-VideoHelperSuite

• ComfyUI-Frame-Interpolation

• ComfyUI-GGUF

• comfyui_controlnet_aux

• comfyui-custom-scripts

• comfyui-impact-pack

• comfyui-impact-subpack

• comfyui-rmbg

• comfyui-segment-anything-2

• Comfyui-Memory_Cleanup