Nodes/ComfyUI-ShaderNoiseKSampler/Shader Noise KSampler
ComfyUI Node

Shader Noise KSampler

A ComfyUI node in sampling with 17 inputs and 1 output.

By AEmotionStudio·Created about a year ago·Updated 2 months ago· 66
Shader Noise KSampler
  • model
  • positive
  • negative
  • latent_image
  • custom_sigmas
  • LATENT
seed8888
steps20
cfg7.0
sampler_nameeuler_ancestral
schedulerbeta
denoise1.00
sequential_stages1
injection_stages0
shader_strength0.30
blend_modemultiply
noise_transformnone
use_temporal_coherencefalse
Categorysampling

Inputs (17)

NameTypeDefaultDescription
modelMODELThe AI model used for image generation
seedINT88880–18446744073709550000Random seed for generation. Same seed with same parameters will generate the same image. Use fixed seed for shader noise exploration.
stepsINT201–10000Number of sampling steps. Higher values can produce better results but take longer
cfgFLOAT7.00–100Classifier-free guidance scale. Higher values follow the prompt more closely
sampler_nameCOMBOeuler_ancestralAlgorithm used for the sampling process
schedulerCOMBObetaScheduler used to determine noise level at each step
positiveCONDITIONINGPositive conditioning/prompts that guide what to include in the image
negativeCONDITIONINGNegative conditioning/prompts that guide what to exclude from the image
latent_imageLATENTInput latent image to be processed
denoiseFLOAT1.000–1Denoising strength. Lower values preserve more of the original image
sequential_stagesINT10–10Number of sequential shader stages to apply before injection stages
injection_stagesINT00–10Number of injection shader stages to apply after sequential stages
shader_strengthFLOAT0.300–1Strength of the shader noise influence for both stage types - set to 0.0 to disable and use only the base noise
blend_modeCOMBOmultiplyMethod used to blend the shader noise with the base noise
noise_transformCOMBOnoneApply mathematical transformations to the noise for creative effects
use_temporal_coherenceBOOLEANfalseEnsures consistent noise patterns. For sequences like video frames, it helps maintain frame-to-frame consistency (e.g., using the same base seed and 4D noise). For single image generations, it ensures the base noise is derived consistently from the main seed.
custom_sigmasoptSIGMASOptional custom sigma schedule to override the model's default schedule

Outputs (1)

NameTypeDescription
LATENTLATENT