QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation

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

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

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.

Outputs

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