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Adjust conditioning areas in image based on ratio for precise artistic control.
The DF_Conditioning_area_scale_by_ratio
node is designed to adjust the size and position of conditioning areas within an image based on a specified ratio. This node is particularly useful for AI artists who need to dynamically scale conditioning areas to achieve desired effects in their artwork. By modifying the dimensions and offsets of these areas, you can fine-tune the influence of conditioning on different parts of the image, allowing for more precise control over the artistic output. The node also allows you to adjust the strength of the conditioning effect, providing additional flexibility in how conditioning impacts the final image. This can be especially beneficial when working with complex compositions where different regions require varying levels of conditioning.
This parameter represents the conditioning data that will be modified by the node. Conditioning data typically includes information about specific areas of an image and how they should be processed. The node will use this data as a base to apply the scaling and strength modifications.
The modifier
parameter is a floating-point value that determines the scaling ratio for the conditioning area. It affects the height, width, and offsets of the conditioning area. A higher modifier value will increase the size of the area, while a lower value will decrease it. This parameter allows you to control the extent of the scaling effect. There is no explicit minimum or maximum value provided, but it should be a positive number.
The strength_modifier
parameter is a floating-point value that adjusts the strength of the conditioning effect. This parameter multiplies the existing strength value of the conditioning, allowing you to either amplify or reduce the effect. This can be useful for fine-tuning the impact of conditioning on different parts of the image. There is no explicit minimum or maximum value provided, but it should be a positive number.
The output of this node is the modified conditioning data. This data includes the resized and repositioned conditioning areas, as well as the adjusted strength values. The output can be used in subsequent nodes to apply the modified conditioning effects to the image, allowing for more precise and controlled artistic results.
modifier
value close to 1.0. This will make small adjustments to the conditioning area without drastically changing its size.strength_modifier
values to see how they impact the conditioning effect. A value greater than 1.0 will amplify the effect, while a value less than 1.0 will reduce it.area
and strength
.modifier
value is negative or zero.modifier
value is a positive number to correctly scale the conditioning area.strength_modifier
value is negative.strength_modifier
value is a positive number to correctly adjust the strength of the conditioning effect.© Copyright 2024 RunComfy. All Rights Reserved.