GitLab

It is based on: https://arxiv.org/abs/2407.12173

Add "beta" to the list of schedulers and the BetaSamplingScheduler node.

* LoadAudio restores file value from workflow

* use onAfterGraphConfigured

* Don't use anonnymous function

Move other unet model_patches nodes to model_patches/unet section.

* support clip-vit-large-patch14-336

* support clip-vit-large-patch14-336

* 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

There was an issue when only the class type of a node changed with all the
inputs staying the same.

* Fix send to workflow
Fix center align of close workflow dialog
Better support for elements around canvas

* More resilent to extra elements added to body

You can load model weights in diffusers format using the UNETLoader node.

* Add stable release.

* Only build CUDA 12.1 + 3.11 Python.

* Upgrade checkout and setup-python to latest version.

* lzma2

* Update artifact name to be ComfyUI_windows_portable_nvidia.7z

Set the default AuraFlow shift value to 1.73 (sqrt(3)).

Text encoders can now return other values to the CONDITIONING than the cond
and pooled output.

* Update issue template

* nit

* Upload console logs

* Check unhandled exception

Use more explicit name 'python_module'

Parse abs ath

Move parse to nodes.py

* Update samplers.py

* Update model_patcher.py

This is only the model code itself, it currently defaults to an empty
embedding [0] * 6 which seems to work better than treating it like a
regular controlnet.

TODO: Add nodes to select the image type.