ModelMergeQwenImage - ComfyUI Built-in Node Documentation - ComfyUI

ModelMergeQwenImage 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	Description	Data Type	Required	Range
`model1`	The first model to merge	MODEL	Yes	-
`model2`	The second model to merge	MODEL	Yes	-
`pos_embeds.`	Weight for positional embeddings blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`img_in.`	Weight for image input processing blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`txt_norm.`	Weight for text normalization blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`txt_in.`	Weight for text input processing blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`time_text_embed.`	Weight for time and text embedding blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`transformer_blocks.0.` to `transformer_blocks.59.`	Weight for each transformer block blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)
`proj_out.`	Weight for output projection blending (default: 1.0)	FLOAT	Yes	0.0 to 1.0 (step: 0.01)

Outputs

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

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

Source fingerprint (SHA-256): 5f31f91f3d54d4c5085c684a98f64afd0a0f704693b6dd4f19bc35d3c5f74529