GitLab

DDIM is the same as euler with a small difference in the inpaint code.
DDIM uses randn_like but I set a fixed seed instead.

I'm keeping it in because I'm sure if I remove it people are going to
complain.

apply_model in model_base now returns the denoised output.

This means that sampling_function now computes things on the denoised
output instead of the model output. This should make things more consistent
across current and future models.

* setup ui unit tests

* Refactoring, adding connections

* Few tweaks

* Fix type

* Add general test

* Refactored and extended test

* move to describe

* for groups

* Add test for converted widgets on missing nodes + fix crash

* tidy

* mores tests + refactor

* throw earlier to get less confusing error

* support outputs

* more test

* add ci action

* use lts node

* Fix?

* Prevent connecting non matching combos

* update

* accidently removed npm i

* Disable logging extension

* added step to generate object_info

* fix python

* install python

* install deps

* fix cwd?

* logging

* Fix double resolve

* create dir

* update pkg