Model Merging can be be done by navigating to the Model Manager and clicking the "Merge Models" tab. From there, you can select the models and settings you want to use to merge th models.
## Settings
* Model Selection: there are three multiple choice fields that
display all the diffusers-style models that InvokeAI knows about.
If you do not see the model you are looking for, then it is probably
a legacy checkpoint model and needs to be converted using the
`invoke` command-line client and its `!optimize` command. You
must select at least two models to merge. The third can be left at
"None" if you desire.
* Alpha: This is the ratio to use when combining models. It ranges
from 0 to 1. The higher the value, the more weight is given to the
2d and (optionally) 3d models. So if you have two models named "A"
and "B", an alpha value of 0.25 will give you a merged model that is
25% A and 75% B.
* Interpolation Method: This is the method used to combine
weights. The options are "weighted_sum" (the default), "sigmoid",
"inv_sigmoid" and "add_difference". Each produces slightly different
results. When three models are in use, only "add_difference" is
available.
* Save Location: The location you want the merged model to be saved in. Default is in the InvokeAI root folder
* Name for merged model: This is the name for the new model. Please
use InvokeAI conventions - only alphanumeric letters and the
characters ".+-".
* Ignore Mismatches / Force: Not all models are compatible with each other. The merge
script will check for compatibility and refuse to merge ones that
are incompatible. Set this checkbox to try merging anyway.