Wan Animated ComfyUI
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About this version
Model description
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
https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF/resolve/main/Wan2.2-Animate-14B-Q6_K.gguf
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\
ComfyUI 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
