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philz1337x/controlnet-deliberate

Modify images with canny edge detection and Deliberate model twitter: @philz1337x

Capabilities

Reference Images Negative Prompt Seed

Cost

Community model (estimated from hardware time)

Input Parameters

image required string

Input image

prompt required string

Prompt for the model

a_prompt string

Additional text to be appended to prompt

Default: "best quality, extremely detailed"
ddim_steps integer

Steps

Default: 20
detect_resolution integer

Resolution at which detection method will be applied)

Default: 512 min: 128, max: 1024
eta number

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

Default: 0
high_threshold integer

Canny line detection high threshold

Default: 200 min: 1, max: 255
image_resolution string

Image resolution to be generated

Default: "512"
256 512 768
low_threshold integer

Canny line detection low threshold

Default: 100 min: 1, max: 255
n_prompt string

Negative Prompt

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

Number of samples (higher values may OOM)

Default: "1"
1 4
scale number

Scale for classifier-free guidance

Default: 9 min: 0.1, max: 30
seed integer

Seed

weight number

Weight of ControlNet

Default: 1 min: 0.01, max: 2
Version: 57d86bd78018 Updated: 2/26/2026 1.1M runs