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The ModelMergeCosmosPredict2_14B node merges two AI models by blending their internal components. It gives you precise control over how much each part of the second model influences the final merged result, using adjustable weight values for specific layers and components.

Inputs

ParameterDescriptionData TypeRequiredRange
model1The base model to merge withMODELYes-
model2The secondary model to merge into the base modelMODELYes-
pos_embedder.Position embedder blending weight (default: 1.0)FLOATYes0.0 - 1.0
x_embedder.Input embedder blending weight (default: 1.0)FLOATYes0.0 - 1.0
t_embedder.Time embedder blending weight (default: 1.0)FLOATYes0.0 - 1.0
t_embedding_norm.Time embedding normalization blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.0.Block 0 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.1.Block 1 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.2.Block 2 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.3.Block 3 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.4.Block 4 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.5.Block 5 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.6.Block 6 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.7.Block 7 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.8.Block 8 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.9.Block 9 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.10.Block 10 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.11.Block 11 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.12.Block 12 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.13.Block 13 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.14.Block 14 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.15.Block 15 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.16.Block 16 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.17.Block 17 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.18.Block 18 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.19.Block 19 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.20.Block 20 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.21.Block 21 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.22.Block 22 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.23.Block 23 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.24.Block 24 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.25.Block 25 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.26.Block 26 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.27.Block 27 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.28.Block 28 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.29.Block 29 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.30.Block 30 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.31.Block 31 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.32.Block 32 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.33.Block 33 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.34.Block 34 blending weight (default: 1.0)FLOATYes0.0 - 1.0
blocks.35.Block 35 blending weight (default: 1.0)FLOATYes0.0 - 1.0
final_layer.Final layer blending weight (default: 1.0)FLOATYes0.0 - 1.0
Note: All blending weight parameters accept values between 0.0 and 1.0, where 0.0 means no contribution from model2 and 1.0 means full contribution from model2 for that specific component.

Outputs

Output NameDescriptionData Type
modelThe merged model combining features from both input modelsMODEL
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

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