Mpi LanPaint KSampler

Uses the provided model, positive and negative conditioning to denoise the latent image.

By MadPonyInteractive·Created about a year ago·Updated a day ago· 4

◄seed0►

◄steps30►

◄cfg5.0►

◄sampler_name▾►

◄schedulerkarras►

◄denoise1.00►

◄LanPaint_NumSteps5►

◄LanPaint_PromptMode▾►

◄LanPaint_InfoLanPaint KSampler.►

◄Inpainting_mode🖼️ Image Inpainting►

CategoryMpiNodes/Sampling

Inputs (14)

Name	Type	Default	Description
model	MODEL		The model used for denoising the input latent.
seed	INT	00–18446744073709550000	The random seed used for creating the noise.
steps	INT	301–10000	The number of steps used in the denoising process.
cfg	FLOAT	5.00–100	The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality.
sampler_name	COMBO		Recommended: euler.
scheduler	COMBO	karras	The scheduler controls how noise is gradually removed to form the image.
positive	CONDITIONING		The conditioning describing the attributes you want to include in the image.
negative	CONDITIONING		The conditioning describing the attributes you want to exclude from the image.
latent_image	LATENT		The latent image to denoise.
denoise	FLOAT	1.000–1	The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling.
LanPaint_NumSteps	INT	50–100	The number of steps for the Langevin dynamics, representing the turns of thinking per step.
LanPaint_PromptMode	COMBO		Image First: emphasis image quality, Prompt First: emphasis prompt following
LanPaint_Info	STRING	LanPaint KSampler.	For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star ⭐️!
Inpainting_mode	COMBO	🖼️ Image Inpainting	Choose Image mode for photos or Video mode for video frames with temporal consistency

Name	Type	Description
LATENT	LATENT	The denoised latent.