Wan Animated ComfyUI

The compressed file contains 1 ComfyUI workflows for running:

wan2.2-Animate.json

Reference output:

RTX4060 8GB vRAM + 32G RAM(disable facereplace): 101fps x 496x896: Prompt executed in 00:14:24

RTX4070Ti Super 16GB vRAM + 32G RAM: 141fps x 560x992: Prompt executed in 00:11:36

RTX5080 laptop 16G vRAM + 64G RAM: 141fps x 560x992: Prompt executed in 00:12:44

Requirements:

Models:

- Wan2.2-Animate-14B(GGUF), Put in: ComfyUI\models\unet

Same with other version:

- umt5_xxl_fp8_e4m3fn_scaled.gguf (CLIP) Put in: ComfyUI\models\text_encoders

wan_2.1_vae.safetensors (VAE) Put in: ComfyUI\models\vae

clip_vision_h.safetensors (CLIP_VISION) Put in: ComfyUI\models\clip_vision

Optional Loras; Put in: ComfyUI\models\loras\

Nodes:

- 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