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Use the UNET Loader node to load the unet file to use them.

Pass a seed argument note that this might make old unclip images different.

support masked attention.

comfy.ops -> comfy.ops.disable_weight_init

This should make it more clear what they actually do.

Some unused code has also been removed.

Use a simple CLIP model implementation instead of the one from
transformers.

This will allow some interesting things that would too hackish to implement
using the transformers implementation.

--fp8_e4m3fn-unet and --fp8_e5m2-unet are the two different formats
supported by pytorch.