WAN 2.2 Animate Workflow with SageAttention + BlockSwap + GGUF (include Upscale and Interpolation)

My TG Channel - https://t.me/StefanFalkokAI

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Hi! I introduce my working workflow with Wan 2.2 Animate generation video for ComfyUI.

It's an experimental workflow, so try this just for fun

You need to have Wan 2.2 Animate model

(https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/tree/main), clip (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/umt5-xxl-enc-bf16.safetensors), audio encoder (https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/tree/main/split_files/audio_encoders) and vae (wan 2.1 vae)

GGUF - https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF/tree/main

Also I have included Lora https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v for better and fast generation

I recomend set strength 1.5 for loras to get best results

Also you need to have Sageattention 2.2.0 with Triton (https://huggingface.co/Kijai/PrecompiledWheels/tree/main) and Torch 2.7.0+ for faster generation (https://github.com/pytorch/pytorch/releases), also u need download and install CUDA 12.8 (https://developer.nvidia.com/cuda-12-8-0-download-archive) and VS Code (https://visualstudio.microsoft.com/downloads/)

Instruction how to install Sageattention (1.0.6, how to install sageattention 2.2.0 - rename .whl file to .zip and put folders from .zip to ComfyUI\python_embeded\Lib\site-packages)

Leave comments if you have trouble or you found the problem with workflow