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jagilley/controlnet-hough

Modify images using M-LSD line detection

Capabilities

Reference ImagesNegative PromptSeed

Cost

Community model (estimated from hardware time)

Input Parameters

imagerequiredstring

Input image

promptrequiredstring

Prompt for the model

a_promptstring

Added Prompt

Default: "best quality, extremely detailed"
ddim_stepsinteger

Steps

Default: 20
detect_resolutioninteger

Resolution for detection (only applicable when model type is 'HED', 'Segmentation', or 'MLSD')

Default: 512min: 128, max: 1024
distance_thresholdnumber

Distance Threshold (only applicable when model type is 'MLSD')

Default: 0.1min: 0.01, max: 20
etanumber

eta (DDIM)

Default: 0
image_resolutionstring

Image resolution to be generated

Default: "512"
256512768
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

Guidance Scale

Default: 9min: 0.1, max: 30
seedinteger

Seed

value_thresholdnumber

Value Threshold (only applicable when model type is 'MLSD')

Default: 0.1min: 0.01, max: 2
Version: 854e8727697aUpdated: 7/25/202610.0M runs