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jagilley/controlnet-canny

Modify images using canny edge detection

Capabilities

Reference ImagesNegative PromptSeed

Cost

Community model (estimated from hardware time)

Input Parameters

imagerequiredstring

Input image

promptrequiredstring

Prompt for the model

a_promptstring

Additional text to be appended to prompt

Default: "best quality, extremely detailed"
ddim_stepsinteger

Steps

Default: 20
etanumber

Controls the amount of noise that is added to the input data during the denoising diffusion process. Higher value -> more noise

Default: 0
high_thresholdinteger

Canny line detection high threshold

Default: 200min: 1, max: 255
image_resolutionstring

Image resolution to be generated

Default: "512"
256512768
low_thresholdinteger

Canny line detection low threshold

Default: 100min: 1, max: 255
n_promptstring

Negative Prompt

Default: "longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality"
num_samplesstring

Number of samples (higher values may OOM)

Default: "1"
14
scalenumber

Scale for classifier-free guidance

Default: 9min: 0.1, max: 30
seedinteger

Seed

Version: aff48af9c68dUpdated: 7/25/2026835.4K runs