ComfyUI > Nodes > RES4LYF > ConditioningAdd

ComfyUI Node: ConditioningAdd

Class Name

ConditioningAdd

Category
RES4LYF/conditioning
Author
ClownsharkBatwing (Account age: 287days)
Extension
RES4LYF
Latest Updated
2025-03-08
Github Stars
0.09K

How to Install RES4LYF

Install this extension via the ComfyUI Manager by searching for RES4LYF
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter RES4LYF in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • 16GB VRAM to 80GB VRAM GPU machines
  • 400+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 200+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

ConditioningAdd Description

Enhance flexibility in AI art conditioning by adding and scaling two sets of data for nuanced model inputs.

ConditioningAdd:

The ConditioningAdd node is designed to enhance the flexibility and control over conditioning data in AI art generation. It allows you to combine two sets of conditioning data by adding them together, with the option to scale the contribution of the second set using a multiplier. This node is particularly useful when you want to blend different conditioning influences or adjust the strength of one conditioning set relative to another. By providing a straightforward method to manipulate conditioning data, ConditioningAdd helps you fine-tune the inputs to your AI models, potentially leading to more nuanced and desired outputs in your creative projects.

ConditioningAdd Input Parameters:

conditioning_1

This parameter represents the first set of conditioning data that you want to modify. It serves as the base to which the scaled second conditioning set will be added. The data type is CONDITIONING, which is a structured format used to influence the behavior of AI models.

conditioning_2

This parameter is the second set of conditioning data that will be added to the first. Its contribution to the final result is controlled by the multiplier. Like conditioning_1, it is of the CONDITIONING type, allowing for structured and complex data inputs.

multiplier

The multiplier is a floating-point value that scales the influence of conditioning_2 when it is added to conditioning_1. It allows you to adjust the strength of the second conditioning set, with a default value of 1.0. The range is extensive, from -1,000,000,000.0 to 1,000,000,000.0, with a step of 0.01, providing fine-grained control over the addition process.

ConditioningAdd Output Parameters:

CONDITIONING

The output is a single CONDITIONING type, which is the result of adding the scaled conditioning_2 to conditioning_1. This output can be used as input for further processing or directly in AI models to influence their behavior. The resulting conditioning data reflects the combined influence of both input sets, adjusted by the multiplier.

ConditioningAdd Usage Tips:

  • Use the multiplier to control the influence of conditioning_2. A value greater than 1 will amplify its effect, while a value between 0 and 1 will reduce it.
  • Experiment with negative values for the multiplier to subtract the influence of conditioning_2 from conditioning_1, which can be useful for counteracting unwanted effects.

ConditioningAdd Common Errors and Solutions:

TypeError: unsupported operand type(s) for +=: 'NoneType' and 'float'

  • Explanation: This error occurs if the conditioning data is not properly structured or initialized, leading to a NoneType being encountered during the addition.
  • Solution: Ensure that both conditioning_1 and conditioning_2 are correctly formatted and initialized before using them in the node.

ValueError: Multiplier out of range

  • Explanation: This error is raised if the multiplier value is set outside the allowed range.
  • Solution: Check that the multiplier is within the specified range of -1,000,000,000.0 to 1,000,000,000.0 and adjust it accordingly.

ConditioningAdd Related Nodes

Go back to the extension to check out more related nodes.
RES4LYF
RunComfy
Copyright 2025 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.