GitLab

* cli_args: Add --duplicate-check-hash-function.

* server.py: compare_image_hash configurable hash function

Uses an argument added in cli_args to specify the type of hashing to default to for duplicate hash checking.  Uses an `eval()` to identify the specific hashlib class to utilize, but ultimately safely operates because we have specific options and only those options/choices in the arg parser.  So we don't have any unsafe input there.

* Add hasher() to node_helpers

* hashlib selection moved to node_helpers

* default-hashing-function instead of dupe checking hasher

This makes a default-hashing-function option instead of previous selected option.

* Use args.default_hashing_function

* Use safer handling for node_helpers.hasher()

Uses a safer handling method than `eval` to evaluate default hashing function.

* Stray parentheses are evil.

* Indentation fix.

Somehow when I hit save I didn't notice I missed a space to make indentation work proper.  Oops!

* Add frontend manager

* Add tests

* nit

* Add unit test to github CI

* Fix path

* nit

* ignore

* Add logging

* Install test deps

* Remove 'stable' keyword support

* Update test

* Add web-root arg

* Rename web-root to front-end-root

* Add test on non-exist version number

* Use repo owner/name to replace hard coded provider list

* Inline cmd args

* nit

* Fix unit test

* Add --no-custom-node cmd flag

* nit

* Add TLS Support

* Add to readme

* Add guidance for windows users on generating certificates

* Add guidance for windows users on generating certificates

* Fix typo

Logging level now defaults to info. --verbose sets it to debug.

Remove --server-storage argument.

* 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