ComfyUI  >  Nodes  >  KJNodes for ComfyUI >  ConditioningSetMaskAndCombine5

ComfyUI Node: ConditioningSetMaskAndCombine5

Class Name

ConditioningSetMaskAndCombine5

Category
KJNodes/masking/conditioning
Author
kijai (Account age: 2192 days)
Extension
KJNodes for ComfyUI
Latest Updated
6/25/2024
Github Stars
0.3K

How to Install KJNodes for ComfyUI

Install this extension via the ComfyUI Manager by searching for  KJNodes for ComfyUI
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter KJNodes for ComfyUI 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.

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ConditioningSetMaskAndCombine5 Description

Enhance AI art generation with multiple mask application and conditioning data combination.

ConditioningSetMaskAndCombine5:

The ConditioningSetMaskAndCombine5 node is designed to enhance your AI art generation process by allowing you to apply multiple masks and combine their effects on conditioning data. This node is particularly useful when you need to apply complex conditioning scenarios involving up to five different masks. By leveraging this node, you can fine-tune the influence of each mask on the conditioning data, ensuring that specific areas of your artwork receive the desired level of attention and modification. The node simplifies the process of combining multiple conditioning inputs, making it easier to manage and apply intricate conditioning setups without needing extensive technical knowledge.

ConditioningSetMaskAndCombine5 Input Parameters:

positive_1

This parameter represents the first set of positive conditioning data. It is used in conjunction with mask_1 to apply the first mask's influence on the conditioning data. The strength of this influence is controlled by mask_1_strength.

negative_1

This parameter represents the first set of negative conditioning data. It is used in conjunction with mask_1 to apply the first mask's influence on the conditioning data in a negative manner. The strength of this influence is controlled by mask_1_strength.

positive_2

This parameter represents the second set of positive conditioning data. It is used in conjunction with mask_2 to apply the second mask's influence on the conditioning data. The strength of this influence is controlled by mask_2_strength.

positive_3

This parameter represents the third set of positive conditioning data. It is used in conjunction with mask_3 to apply the third mask's influence on the conditioning data. The strength of this influence is controlled by mask_3_strength.

positive_4

This parameter represents the fourth set of positive conditioning data. It is used in conjunction with mask_4 to apply the fourth mask's influence on the conditioning data. The strength of this influence is controlled by mask_4_strength.

positive_5

This parameter represents the fifth set of positive conditioning data. It is used in conjunction with mask_5 to apply the fifth mask's influence on the conditioning data. The strength of this influence is controlled by mask_5_strength.

negative_2

This parameter represents the second set of negative conditioning data. It is used in conjunction with mask_2 to apply the second mask's influence on the conditioning data in a negative manner. The strength of this influence is controlled by mask_2_strength.

negative_3

This parameter represents the third set of negative conditioning data. It is used in conjunction with mask_3 to apply the third mask's influence on the conditioning data in a negative manner. The strength of this influence is controlled by mask_3_strength.

negative_4

This parameter represents the fourth set of negative conditioning data. It is used in conjunction with mask_4 to apply the fourth mask's influence on the conditioning data in a negative manner. The strength of this influence is controlled by mask_4_strength.

negative_5

This parameter represents the fifth set of negative conditioning data. It is used in conjunction with mask_5 to apply the fifth mask's influence on the conditioning data in a negative manner. The strength of this influence is controlled by mask_5_strength.

mask_1

This parameter is the first mask applied to the conditioning data. It determines the area and strength of influence for the first set of positive and negative conditioning data.

mask_2

This parameter is the second mask applied to the conditioning data. It determines the area and strength of influence for the second set of positive and negative conditioning data.

mask_3

This parameter is the third mask applied to the conditioning data. It determines the area and strength of influence for the third set of positive and negative conditioning data.

mask_4

This parameter is the fourth mask applied to the conditioning data. It determines the area and strength of influence for the fourth set of positive and negative conditioning data.

mask_5

This parameter is the fifth mask applied to the conditioning data. It determines the area and strength of influence for the fifth set of positive and negative conditioning data.

set_cond_area

This parameter determines whether the conditioning area should be set to the bounds of the mask. It can take the values "default" or "mask bounds". If set to "mask bounds", the conditioning area will be restricted to the bounds of the mask.

mask_1_strength

This parameter controls the strength of the first mask's influence on the conditioning data. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0.

mask_2_strength

This parameter controls the strength of the second mask's influence on the conditioning data. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0.

mask_3_strength

This parameter controls the strength of the third mask's influence on the conditioning data. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0.

mask_4_strength

This parameter controls the strength of the fourth mask's influence on the conditioning data. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0.

mask_5_strength

This parameter controls the strength of the fifth mask's influence on the conditioning data. It is a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0.

ConditioningSetMaskAndCombine5 Output Parameters:

CONDITIONING

This output parameter represents the combined conditioning data after applying all the specified masks and their respective strengths. It encapsulates the final conditioning state that can be used for further processing or directly in your AI art generation workflow.

ConditioningSetMaskAndCombine5 Usage Tips:

  • To achieve a balanced influence of multiple masks, carefully adjust the strength parameters for each mask to ensure they complement each other.
  • Use the set_cond_area parameter to restrict the conditioning area to the bounds of the masks when you need precise control over the affected regions.
  • Experiment with different combinations of positive and negative conditioning data to see how they interact and affect the final output.

ConditioningSetMaskAndCombine5 Common Errors and Solutions:

"Mask shape is invalid"

  • Explanation: This error occurs when the shape of one or more masks is not compatible with the expected input format.
  • Solution: Ensure that all masks have at least three dimensions. If necessary, use the unsqueeze method to add an extra dimension to the mask.

"Invalid strength value"

  • Explanation: This error occurs when the strength value for a mask is outside the allowed range.
  • Solution: Check that the strength values for all masks are within the range of 0.0 to 10.0 and adjust them accordingly.

"Missing conditioning data"

  • Explanation: This error occurs when one or more required conditioning data inputs are not provided.
  • Solution: Ensure that all positive and negative conditioning data inputs are correctly specified and not missing.

ConditioningSetMaskAndCombine5 Related Nodes

Go back to the extension to check out more related nodes.
KJNodes for ComfyUI
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