SeaArt ComfyUI WIKI
  • SeaArt ComfyUI WIKI
  • Core Nodes
    • Advanced
      • conditioning
        • CLIP Text Encode SDXL
        • CLIP Text Encode SDXL Refiner
        • Conditioning Set Timestep Range
        • Conditioning Zero Out
        • Flux
          • CLIPTextEncodeFlux Node for ComfyUI Explained
          • FluxGuidance - ComfyUI Node Functionality Description
      • Loaders
        • Load CLIP
        • Load Checkpoint With Config (DEPRECATED)
        • Diffusers Loader
        • Dual CLIP Loader - How it work and how to use it
        • UNET Loader Guide | Load Diffusion Model
      • Model
        • Model Sampling Continuous EDM
        • Model Sampling Discrete
        • Rescale CFG
      • Model-merging
        • Checkpoint Save
        • CLIPMerge Simple
        • CLIP Save
        • Model Merge Add
        • Model Merge Blocks
        • Model Merge Simple
        • Model Merge Subtract
        • VAE Save
    • Conditioning
      • 3d-models
        • Stable Zero 123 Conditioning
        • Stable Zero 123 Conditioning Batched
      • CLIP Set Last Layer
      • CLIP Text Encode (Prompt)
      • CLIP Vision Encode
      • Conditioning Average
      • Conditioning (Combine)
      • Conditioning (Concat)
      • Conditioning (Set Area)
      • Conditioning (Set Area with Percentage)
      • Conditioning Set Area Strength
      • Conditioning (Set Mask)
      • Apply ControlNet
      • Apply ControlNet (Advanced)
      • gligen
        • GLIGEN Text Box Apply
      • inpaint
        • Inpaint Model Conditioning
      • style-model
        • Apply Style Model
      • unCLIP Conditioning
      • upscale-diffusion
        • SD_4X Upscale Conditioning
      • video-models
        • SVD img2vid Conditioning
    • Image
      • animation
        • Save Animated PNG
        • Save Animated WEBP
      • batch
        • Image From Batch
        • Rebatch Images
        • Repeat Image Batch
      • Empty Image
      • Batch Images
      • Image Composite Masked
      • Invert Image
      • Pad Image for Outpainting
      • Load Image
      • postprocessing
        • Image Blend
        • Image Blur
        • Image Quantize
        • Image Sharpen
      • preprocessors
        • Canny Node
      • Preview Image
      • Save Image
      • transform
        • Image Crop
      • upscaling
        • Upscale Image
        • Upscale Image By
        • Image Scale To Total Pixels
        • Upscale Image (using Model)
    • Latent
      • Latent Upscale
      • Empty Latent Image
      • Latent Upscale By
      • Latent Composite
      • VAE Decode
      • VAE Encode
      • Latent Composite Masked
      • advanced
        • Latent Add
        • Latent Batch Seed Behavior
        • Latent Interpolate
        • Latent Multiply
        • Latent Subtract
      • batch
        • Latent Batch
        • Latent From Batch
        • Rebatch Latents
        • Repeat Latent Batch
      • inpaint
        • Set Latent Noise Mask
        • VAE Encode (for Inpainting)
      • transform
        • Crop Latent
        • Flip Latent
        • Rotate Latent
    • Loaders
      • Checkpoint Loader (Simple)
      • CLIP Vision Loader
      • ControlNet Loader
      • Diff ControlNet Loader
      • GLIGEN Loader
      • Hypernetwork Loader
      • Lora Loader
      • Lora Loader Model Only
      • Style Model Loader
      • unCLIP Checkpoint Loader
      • Upscale Model Loader
      • VAE Loader
      • video-models
        • Image Only Checkpoint Loader (img2vid model)
    • Mask
      • compositing
        • Join Image with Alpha
        • Porter-Duff Image Composite
        • Split Image with Alpha
      • Crop Mask
      • Feather Mask
      • Grow Mask
      • Image Color To Mask
      • Image To Mask
      • Invert Mask
      • Load Image (as Mask)
      • Mask Composite
      • Mask To Image
      • Solid Mask
    • Sampling
      • custom-sampling
        • SamplerCustom
        • samplers
          • KSampler Select
          • Sampler DPMPP_2M_SDE
          • Sampler DPMPP_SDE
        • schedulers
          • Basic Scheduler
          • Exponential Scheduler
          • Karras Scheduler
          • Polyexponential Scheduler
          • SD Turbo Scheduler
          • VP Scheduler
        • sigmas
          • Flip Sigmas
          • Split Sigmas
      • KSampler
      • KSampler (Advanced)
      • Sampler
      • video-models
        • Video Linear CFG Guidance
    • Utils
      • Note
      • Primitive
      • Reroute
      • Terminal Log (Manager)
  • ComfyUI Workflow Example
    • 1-Img2Img
    • 2-2 Pass Txt2Img
    • 3-Inpaint
    • 4-Area Composition
    • 5-Upscale Models
    • 6-LoRA
    • 7-ControlNet
    • 8-Noisy Latent Composition
    • 9-Textual Inversion Embeddings
    • 10-Edit Models
    • 11-Model Merging
    • 12-SDXL
    • 13-Stable Cascade
    • 14-UnCLIP
    • 15-Hypernetworks
    • 16-Gligen
    • 17-3D Examples
    • 18-Video
    • 19-LCM Examples
    • 20-ComfyUI SDXL Turbo Examples
  • How to publish as an AI app
  • FAQ (Must see!!!)
Powered by GitBook
On this page
  • Documentation
  • Input types
  • Output types
  1. Core Nodes
  2. Conditioning

Conditioning Average

PreviousCLIP Vision EncodeNextConditioning (Combine)

Last updated 5 months ago

Documentation

  • Class name: ConditioningAverage

  • Category: conditioning

  • Output node: False

The ConditioningAverage node is designed to blend two sets of conditioning data, applying a weighted average based on a specified strength. This process allows for the dynamic adjustment of conditioning influence, facilitating the fine-tuning of generated content or features.

Input types

Parameter
Comfy dtype
Description

conditioning_to

CONDITIONING

Represents the primary set of conditioning data to which the blending will be applied. It serves as the base for the weighted average operation.

conditioning_from

CONDITIONING

Denotes the secondary set of conditioning data that will be blended into the primary set. This data influences the final output based on the specified strength.

conditioning_to_strength

FLOAT

A scalar value that determines the strength of the blend between the primary and secondary conditioning data. It directly influences the balance of the weighted average.

Output types

Parameter
Comfy dtype
Description

conditioning

CONDITIONING

The result of blending the primary and secondary conditioning data, producing a new set of conditioning that reflects the weighted average.