ModelMergeLTXV - ComfyUI Built-in Node Documentation

Complete documentation for the ModelMergeLTXV node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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The ModelMergeLTXV node performs advanced model merging operations specifically designed for LTXV model architectures. It allows you to blend two different models together by adjusting interpolation weights for various model components including transformer blocks, projection layers, and other specialized modules.

Inputs

Parameter	Data Type	Required	Range	Description
model1	MODEL	Yes	-	The first model to merge
model2	MODEL	Yes	-	The second model to merge
patchify_proj.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for patchify projection layers (default: 1.0)
adaln_single.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for adaptive layer normalization single layers (default: 1.0)
caption_projection.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for caption projection layers (default: 1.0)
transformer_blocks.0.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 0 (default: 1.0)
transformer_blocks.1.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 1 (default: 1.0)
transformer_blocks.2.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 2 (default: 1.0)
transformer_blocks.3.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 3 (default: 1.0)
transformer_blocks.4.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 4 (default: 1.0)
transformer_blocks.5.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 5 (default: 1.0)
transformer_blocks.6.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 6 (default: 1.0)
transformer_blocks.7.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 7 (default: 1.0)
transformer_blocks.8.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 8 (default: 1.0)
transformer_blocks.9.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 9 (default: 1.0)
transformer_blocks.10.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 10 (default: 1.0)
transformer_blocks.11.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 11 (default: 1.0)
transformer_blocks.12.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 12 (default: 1.0)
transformer_blocks.13.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 13 (default: 1.0)
transformer_blocks.14.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 14 (default: 1.0)
transformer_blocks.15.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 15 (default: 1.0)
transformer_blocks.16.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 16 (default: 1.0)
transformer_blocks.17.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 17 (default: 1.0)
transformer_blocks.18.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 18 (default: 1.0)
transformer_blocks.19.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 19 (default: 1.0)
transformer_blocks.20.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 20 (default: 1.0)
transformer_blocks.21.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 21 (default: 1.0)
transformer_blocks.22.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 22 (default: 1.0)
transformer_blocks.23.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 23 (default: 1.0)
transformer_blocks.24.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 24 (default: 1.0)
transformer_blocks.25.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 25 (default: 1.0)
transformer_blocks.26.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 26 (default: 1.0)
transformer_blocks.27.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for transformer block 27 (default: 1.0)
scale_shift_table	FLOAT	Yes	0.0 - 1.0	Interpolation weight for scale shift table (default: 1.0)
proj_out.	FLOAT	Yes	0.0 - 1.0	Interpolation weight for projection output layers (default: 1.0)

Outputs

Output Name	Data Type	Description
model	MODEL	The merged model combining features from both input models according to the specified interpolation weights