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They will show up if both the taesd_encoder and taesd_decoder or taesdxl
model files are present in the models/vae_approx directory.

* Refactor multiline widget into generic DOM widget

* wip webp preview

* webp support

* fix check

* fix sizing

* show image when zoomed out

* Swap webp checkto generic animated image flag

* remove duplicate

* Fix falsy check

Pytorch supports two variants of fp8:
--fp8_e4m3fn-text-enc (the one that seems to give better results)
--fp8_e5m2-text-enc

Improve diffusers model detection.

By adding a downscale to the unet in the first timesteps this node lets
you generate images at higher resolutions with less consistency issues.

This doesn't affect how percentages behave in the frontend but breaks
things if you relied on them in the backend.

percent_to_sigma goes from 0 to 1.0 instead of 1.0 to 0 for less confusion.

Make percent 0 return an extremely large sigma and percent 1.0 return a
zero one to fix imprecision.

This should make it much easier to write custom nodes with kdiffusion type
samplers.

* support numeric/text ids