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jagilley/controlnet-pose

Modify images with humans using pose detection

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

Version: 0304f7f774ba Updated: 2/26/2026 175.6K runs