FluxProCannyNode - ComfyUI Built-in Node Documentation

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

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Generate image using a control image (canny). This node takes a control image and generates a new image based on the provided prompt while following the edge structure detected in the control image.

Inputs

Parameter	Data Type	Required	Range	Description
control_image	IMAGE	Yes	-	The input image used for canny edge detection control
prompt	STRING	No	-	Prompt for the image generation (default: empty string)
prompt_upsampling	BOOLEAN	No	-	Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result). (default: False)
canny_low_threshold	FLOAT	No	0.01 - 0.99	Low threshold for Canny edge detection; ignored if skip_processing is True (default: 0.1)
canny_high_threshold	FLOAT	No	0.01 - 0.99	High threshold for Canny edge detection; ignored if skip_processing is True (default: 0.4)
skip_preprocessing	BOOLEAN	No	-	Whether to skip preprocessing; set to True if control_image already is canny-fied, False if it is a raw image. (default: False)
guidance	FLOAT	No	1 - 100	Guidance strength for the image generation process (default: 30)
steps	INT	No	15 - 50	Number of steps for the image generation process (default: 50)
seed	INT	No	0 - 18446744073709551615	The random seed used for creating the noise. (default: 0)

Note: When skip_preprocessing is set to True, the canny_low_threshold and canny_high_threshold parameters are ignored since the control image is assumed to already be processed as a canny edge image.

Outputs

Output Name	Data Type	Description
output_image	IMAGE	The generated image based on the control image and prompt