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Enhance AI art generation with multiple mask application and conditioning data combination.
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.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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
.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
set_cond_area
parameter to restrict the conditioning area to the bounds of the masks when you need precise control over the affected regions.unsqueeze
method to add an extra dimension to the mask.© Copyright 2024 RunComfy. All Rights Reserved.