GitLab

* wip per user data

* Rename, hide menu

* better error
rework default user

* store pretty

* Add userdata endpoints
Change nodetemplates to userdata

* add multi user message

* make normal arg

* Fix tests

* Ignore user dir

* user tests

* Changed to default to browser storage and add server-storage arg

* fix crash on empty templates

* fix settings added before load

* ignore parse errors

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

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

Add --disable-cuda-malloc to disable it.

Add a new argument --use-quad-cross-attention

Make the CLIP model work on the GPU.

Clean up a few things.

Like this for example: --directml 1

also adds some metavars to argarse