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update model merging

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Millun Atluri 2023-09-07 20:21:20 +10:00 committed by Kent Keirsey
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4
docs/features/CONCEPTS.md
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@ -21,8 +21,8 @@ TI files that you'll encounter are `.pt` and `.bin` files, which are produced by
different TI training packages. InvokeAI supports both formats, but its
[built-in TI training system](TRAINING.md) produces `.pt`.
The [Hugging Face company](https://huggingface.co/sd-concepts-library) has
amassed a large ligrary of >800 community-contributed TI files covering a
[Hugging Face](https://huggingface.co/sd-concepts-library) has
amassed a large library of >800 community-contributed TI files covering a
broad range of subjects and styles. You can also install your own or others' TI files
by placing them in the designated directory for the compatible model type

77
docs/features/MODEL_MERGING.md
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@ -2,17 +2,50 @@
title: Model Merging
---
# :material-image-off: Model Merging
## How to Merge Models
As of version 2.3, InvokeAI comes with a script that allows you to
merge two or three diffusers-type models into a new merged model. The
InvokeAI provides the ability to merge two or three diffusers-type models into a new merged model. The
resulting model will combine characteristics of the original, and can
be used to teach an old model new tricks.
## How to Merge Models
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.
You may run the merge script by starting the invoke launcher
(`invoke.sh` or `invoke.bat`) and choosing the option for _merge
(`invoke.sh` or `invoke.bat`) and choosing the option (4) for _merge
models_. This will launch a text-based interactive user interface that
prompts you to select the models to merge, how to merge them, and the
merged model name.
@ -40,34 +73,4 @@ this to get back.
If the merge runs successfully, it will create a new diffusers model
under the selected name and register it with InvokeAI.
## The 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. (TODO: cite a reference that describes what these
interpolation methods actually do and how to decide among them).
* 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.
* Name for merged model - This is the name for the new model. Please
use InvokeAI conventions - only alphanumeric letters and the
characters ".+-".