You're really God~~~ Thanks!
You're really God~~~ Thanks!
UnetLoaderGGUFAdvanced
Unexpected architecture type in GGUF file, expected one of flux, sd1, sdxl, t5encoder but got 'wan'
I had the same error message. I had to update the custom_node ComfyUI-GGUF. After that it worked.
UnetLoaderGGUFAdvanced
Unexpected architecture type in GGUF file, expected one of flux, sd1, sdxl, t5encoder but got 'wan'
Two things I've seen work for that.
I had the same problem with the t2v K_M, except it was telling me 'got pig'.
One person suggested forcing update of the Comfyui-GGUF node. He had the 'got wan' result. Updating the node worked for him. I'm screwed and I can't even see a version number at the moment. I git cloned and still not working for me. Also looks identical for changes for Wan in the recent changed py files so I don't know what's going on there.
But the other person I spoke to tried the K_S version instead of K_M and got it going. t2v is now working for me with a K_S but about 6x slower than the normal model. About to try the i2v.
So try updating the ComfyUI-GGUF node perhaps and if desperate like me run a K_S quant. Best I've got for you. Good luck.
edit : Oh I'm running other people's workflows and running Zluda, so the K_S might not be much help
it worked as you mention by updating theComfyUI-GGUF repo Thanks...
I could say nothing but thx. Best wishes.
Updating the ComfyUI-GGUF doesn't fix this issue.
