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Enhance AI art conditioning with precise mask application for localized adjustments and refined outputs.
The ADE_ConditioningSetMask node is designed to enhance the conditioning process in AI art generation by applying a mask to the conditioning data. This node allows you to specify a mask and adjust its strength, providing fine control over how the mask influences the conditioning. By setting the area to the mask bounds, you can ensure that the mask is applied precisely where needed, enhancing the quality and specificity of the generated art. This node is particularly useful for tasks that require detailed and localized conditioning adjustments, making it a powerful tool for AI artists looking to refine their outputs.
This parameter represents the initial conditioning data that will be modified by the mask. It is essential for defining the base state upon which the mask and other adjustments will be applied.
The mask parameter specifies the mask to be applied to the conditioning data. This mask can be used to highlight or suppress certain areas of the conditioning, allowing for more targeted and refined adjustments.
The strength parameter controls the intensity of the mask's influence on the conditioning data. It accepts a float value with a default of 1.0, a minimum of 0.0, and a maximum of 10.0, with a step of 0.01. Adjusting this value allows you to fine-tune the effect of the mask, making it stronger or weaker as needed.
This parameter determines whether the area of the conditioning affected by the mask should be set to the mask bounds. It offers two options: "default" and "mask bounds". Choosing "mask bounds" ensures that the mask is applied only within its specified area, providing more precise control over the conditioning adjustments.
The output parameter CONDITIONING represents the modified conditioning data after the mask and other adjustments have been applied. This output is crucial for subsequent steps in the AI art generation process, as it incorporates the refined conditioning that can lead to higher quality and more specific results.
set_cond_area
parameter to "mask bounds".strength
values to find the optimal balance for your specific task, ensuring the mask's influence is neither too weak nor too overpowering.set_cond_area
parameter.set_cond_area
parameter is set to either "default" or "mask bounds". Double-check for any typos or incorrect values.© Copyright 2024 RunComfy. All Rights Reserved.