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Model Merge Nodes
Akatsuzi edited this page Dec 13, 2023
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16 revisions
This node provides a convenient way to configure the process of merging multiple models into a new model.
Input Parameters
Parameter | Description | Type | Options |
---|---|---|---|
switch_1 |
Switch for option 1. | COMBO |
Off On
|
ckpt_name1 |
Checkpoint name for option 1. | COMBO | list of models |
model_ratio1 |
Model ratio for option 1. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
clip_ratio1 |
Clip ratio for option 1. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
switch_2 |
Switch for option 2. | COMBO |
Off On
|
ckpt_name2 |
Checkpoint name for option 2. | COMBO | list of models |
model_ratio2 |
Model ratio for option 2. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
clip_ratio2 |
Clip ratio for option 2. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
switch_3 |
Switch for option 3. | COMBO |
Off On
|
ckpt_name3 |
Checkpoint name for option 3. | COMBO | list of models |
model_ratio3 |
Model ratio for option 3. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
clip_ratio3 |
Clip ratio for option 3. | FLOAT | default: 1.0, min: -100.0, max: 100.0, step: 0.01 |
Input Parameters
Parameter | Description | Type | Options |
---|---|---|---|
model_stack |
Model stack for stacking. | MODEL_STACK | - |
merge_method |
Method for merging models. | COMBO |
Recursive Weighted
|
normalise_ratios |
Indicator for normalizing ratios. | COMBO |
Yes No
|
weight_factor |
Weight factor for merging models. | FLOAT | default: 1.0, min: 0.0, max: 1.0, step: 0.01 |