gguf quantized version of wan video

workflow

for i2v model, drag clip-vision-h to > ./ComfyUI/models/clip_vision
run the .bat file in the main directory (assume you are using gguf pack below)
if you opt to use fp8 scaled umt5xxl encoder (if applies to any fp8 scale t5 actually), please use cpu offload (switch from default to cpu under device in gguf clip loader; won't affect speed); btw, it works fine for both gguf umt5xxl and gguf vae
drag any demo video (below) to > your browser for workflow

pig is a lazy architecture for gguf node; it applies to all model, encoder and vae gguf file(s); if you try to run it in comfyui-gguf node, you might need to manually add pig in it's IMG_ARCH_LIST (under loader.py); easier than you edit the gguf file itself; btw, model architecture which compatible with comfyui-gguf, including wan, should work in gguf node
1.3b t2v gguf is working fine; good for old or low end machine