Visit ComfyUI Online for ready-to-use ComfyUI environment
Adjust mask value range with new min/max values for normalization and scaling, ensuring desired intensity range for image processing.
The RemapMaskRange node is designed to adjust the range of values within a mask, allowing you to set new minimum and maximum values. This is particularly useful when you need to normalize or scale the mask values to fit a specific range, enhancing the flexibility and control over your mask data. By remapping the mask values, you can ensure that the mask fits the desired intensity range, which can be crucial for various image processing and AI art tasks. This node helps in maintaining consistency and precision in your mask manipulations, making it an essential tool for fine-tuning mask-based operations.
The mask
parameter represents the input mask that you want to remap. This mask is typically a grayscale image where the pixel values indicate the intensity or importance of different regions. The remapping process will adjust these values according to the specified min
and max
parameters.
The min
parameter sets the new minimum value for the mask after remapping. It determines the lowest value that any pixel in the mask can have after the transformation. The default value is 0.0, with a minimum of -10.0 and a maximum of 1.0, and it can be adjusted in steps of 0.01. Lowering this value can increase the contrast in the darker regions of the mask.
The max
parameter sets the new maximum value for the mask after remapping. It determines the highest value that any pixel in the mask can have after the transformation. The default value is 1.0, with a minimum of 0.0 and a maximum of 10.0, and it can be adjusted in steps of 0.01. Increasing this value can enhance the contrast in the brighter regions of the mask.
The mask
output parameter represents the remapped mask. This mask will have its values adjusted to fit within the new range specified by the min
and max
input parameters. The remapped mask ensures that the pixel values are scaled appropriately, providing a normalized output that can be used for further processing or analysis.
min
and max
values accordingly. For example, setting a lower min
value can make darker areas more pronounced.max
parameter to highlight brighter regions in your mask by increasing its value, which can be particularly useful for emphasizing certain features in your image.min
and max
values are set within a reasonable range to avoid overly compressing or expanding the mask values, which could lead to loss of detail or unwanted artifacts.min
and max
range.min
and max
input values to ensure they are set correctly. Ensure that the mask values are being scaled and clamped properly within the node.min
and max
values are set too close to each other or if the input mask has extreme value variations.min
and max
values to provide a more balanced range. Ensure that the input mask is pre-processed to remove any extreme values or noise before remapping.© Copyright 2024 RunComfy. All Rights Reserved.