ModelMergeQwenImage - ComfyUI Built-in Node Documentation

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

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The ModelMergeQwenImage node merges two AI models by combining their components with adjustable weights. It allows you to blend specific parts of Qwen image models, including transformer blocks, positional embeddings, and text processing components. You can control how much influence each model has on different sections of the merged result.

Inputs

Parameter	Data Type	Required	Range	Description
model1	MODEL	Yes	-	The first model to merge (default: none)
model2	MODEL	Yes	-	The second model to merge (default: none)
pos_embeds.	FLOAT	Yes	0.0 to 1.0	Weight for positional embeddings blending (default: 1.0)
img_in.	FLOAT	Yes	0.0 to 1.0	Weight for image input processing blending (default: 1.0)
txt_norm.	FLOAT	Yes	0.0 to 1.0	Weight for text normalization blending (default: 1.0)
txt_in.	FLOAT	Yes	0.0 to 1.0	Weight for text input processing blending (default: 1.0)
time_text_embed.	FLOAT	Yes	0.0 to 1.0	Weight for time and text embedding blending (default: 1.0)
transformer_blocks.0. to transformer_blocks.59.	FLOAT	Yes	0.0 to 1.0	Weight for each transformer block blending (default: 1.0)
proj_out.	FLOAT	Yes	0.0 to 1.0	Weight for output projection blending (default: 1.0)

Outputs

Output Name	Data Type	Description
model	MODEL	The merged model combining components from both input models with the specified weights