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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

ParameterDescriptionData TypeRequiredRange
model1The first model to merge (default: none)MODELYes-
model2The second model to merge (default: none)MODELYes-
pos_embeds.Weight for positional embeddings blending (default: 1.0)FLOATYes0.0 to 1.0
img_in.Weight for image input processing blending (default: 1.0)FLOATYes0.0 to 1.0
txt_norm.Weight for text normalization blending (default: 1.0)FLOATYes0.0 to 1.0
txt_in.Weight for text input processing blending (default: 1.0)FLOATYes0.0 to 1.0
time_text_embed.Weight for time and text embedding blending (default: 1.0)FLOATYes0.0 to 1.0
transformer_blocks.0. to transformer_blocks.59.Weight for each transformer block blending (default: 1.0)FLOATYes0.0 to 1.0
proj_out.Weight for output projection blending (default: 1.0)FLOATYes0.0 to 1.0

Outputs

Output NameDescriptionData Type
modelThe merged model combining components from both input models with the specified weightsMODEL
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