QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation

The QwenImageDiffsynthControlnet node applies a diffusion synthesis control network patch to modify a base model’s behavior. It uses an image input and optional mask to guide the model’s generation process with adjustable strength, creating a patched model that incorporates the control network’s influence for more controlled image synthesis.

Inputs

Parameter	Description	Data Type	Required	Range
`model`	The base model to be patched with the control network	MODEL	Yes	-
`model_patch`	The control network patch model to apply to the base model	MODEL_PATCH	Yes	-
`vae`	The VAE (Variational Autoencoder) used in the diffusion process	VAE	Yes	-
`image`	The input image used to guide the control network (only RGB channels are used)	IMAGE	Yes	-
`strength`	The strength of the control network influence (default: 1.0)	FLOAT	Yes	-10.0 to 10.0
`mask`	Optional mask that defines areas where the control network should be applied (inverted internally)	MASK	No	-

Note: When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing. The node uses different internal processing methods depending on whether the model patch is a ZImage Control type or a standard DiffSynth control network.

Outputs

Output Name	Description	Data Type
`model`	The modified model with the diffusion synthesis control network patch applied	MODEL

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