Nodes/OmniNodes/Simple KSampler 🌑️
ComfyUI Node

Simple KSampler 🌑️

A ComfyUI node in TensorVizion/Model Utilities with 10 inputs and 2 outputs.

By TensorVizionΒ·Created 2 months agoΒ·Updated 17 days agoΒ· 0
Simple KSampler 🌑️
  • model
  • positive
  • negative
  • latent_image
  • latent
  • summary
β—„seed0β–Ί
β—„steps20β–Ί
β—„cfg8.0β–Ί
β—„sampler_nameβ–Ύβ–Ί
β—„schedulerβ–Ύβ–Ί
β—„denoise1.00β–Ί
CategoryTensorVizion/Model Utilities

Inputs (10)

NameTypeDefaultDescription
modelMODELThe model used for denoising the input latent.
seedINT00–18446744073709550000The random seed used for creating the noise.
stepsINT201–10000The number of steps used in the denoising process.
cfgFLOAT8.00–100The 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_nameCOMBOThe algorithm used when sampling, this can affect the quality, speed, and style of the generated output.
schedulerCOMBOThe scheduler controls how noise is gradually removed to form the image.
positiveCONDITIONINGThe conditioning describing the attributes you want to include in the image.
negativeCONDITIONINGThe conditioning describing the attributes you want to exclude from the image.
latent_imageLATENTThe latent image to denoise.
denoiseFLOAT1.000–1The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling.

Outputs (2)

NameTypeDescription
latentLATENTβ€”
summarySTRINGβ€”