Wan 2.2 Video Latent Upscale Full HD with SageAttention + Blockswap + GGUF

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

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Hi! I introduce my working workflow with Wan 2.2 Latent Video Upscaler generation video for ComfyUI.

You need to have Wan 2.2 T2V low noise model

(https://huggingface.co/Kijai/WanVideo_comfy_fp8_scaled/blob/main/T2V/Wan2_2-T2V-A14B-LOW_fp8_e4m3fn_scaled_KJ.safetensors), clip (https://huggingface.co/Kijai/WanVideo_comfy/blob/main/umt5-xxl-enc-bf16.safetensors), audio encoder and vae (wan 2.1 vae)

GGUF - https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/LowNoise

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