GitLab

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 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.

* Add --no-custom-node cmd flag

* nit

The old _pp ones will be updated automatically to the regular ones with 2x
the cfg.

My fault for not checking what the "_pp" samplers actually did.

Still missing the node to properly use it.

Order 4 seems to give bad results.

Add euler_ancestral_pp which is the ancestral version of euler with the
same modification.

This node should match the DDIM implementation of CFG++ when "regular" is
selected.

"alternative" is a slightly different take on CFG++

Made token instance check more flexible so it also works with integers from numpy arrays or long tensors