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Enhance AI-generated images with precise multi-scale processing for improved sharpness and clarity.
FreeU_V2 (Advanced) is a sophisticated node designed to enhance the quality and detail of AI-generated images through advanced multi-scale processing techniques. This node is particularly beneficial for AI artists looking to refine their outputs by applying targeted enhancements to different blocks of the model, such as the output, middle, and input blocks. By leveraging multi-scale modes and customizable strength parameters, FreeU_V2 (Advanced) allows for precise control over the enhancement process, resulting in images with improved sharpness, clarity, and overall visual appeal. The node's flexibility in adjusting slice sizes and scale factors ensures that users can fine-tune their results to meet specific artistic goals, making it an invaluable tool for creating high-quality AI art.
This parameter specifies the model to be used for the enhancement process. It is a required input and determines the base framework upon which the enhancements will be applied.
This parameter allows you to select which part of the model to target for enhancement. Options include "output_block", "middle_block", "input_block", and "all". This selection helps in focusing the enhancement efforts on specific areas of the model, thereby optimizing the final output.
This parameter defines the multi-scale mode to be used during the enhancement process. The available modes are predefined in the system and can be selected based on the desired type of enhancement, such as edge enhancement or sharpening.
This parameter controls the strength of the multi-scale enhancement. It is a floating-point value with a default of 1.0, a minimum of 0, and a maximum of 1.0, adjustable in steps of 0.001. Adjusting this parameter allows for fine-tuning the intensity of the enhancement applied to the image.
This parameter sets the size of the first slice used in the multi-scale processing. It is an integer value with a default of 640, a minimum of 64, and a maximum of 1280, adjustable in steps of 1. This parameter helps in defining the granularity of the enhancement process.
This parameter sets the size of the second slice used in the multi-scale processing. It is an integer value with a default of 320, a minimum of 64, and a maximum of 640, adjustable in steps of 1. Similar to slice_b1, this parameter further refines the granularity of the enhancement.
This parameter is a floating-point value that sets the scale factor for the first slice. It has a default value of 1.1, a minimum of 0.0, and a maximum of 10.0, adjustable in steps of 0.001. This scale factor influences the intensity of the enhancement for the first slice.
This parameter is a floating-point value that sets the scale factor for the second slice. It has a default value of 1.2, a minimum of 0.0, and a maximum of 10.0, adjustable in steps of 0.001. This scale factor influences the intensity of the enhancement for the second slice.
This parameter is a floating-point value that sets the strength of the enhancement for the first slice. It has a default value of 0.9, a minimum of 0.0, and a maximum of 10.0, adjustable in steps of 0.001. This strength parameter allows for precise control over the enhancement intensity.
This parameter is a floating-point value that sets the strength of the enhancement for the second slice. It has a default value of 0.2, a minimum of 0.0, and a maximum of 10.0, adjustable in steps of 0.001. This strength parameter further refines the control over the enhancement intensity.
The primary output of the FreeU_V2 (Advanced) node is the enhanced image. This output represents the final result after applying the specified multi-scale enhancements to the input model. The enhanced image is expected to have improved sharpness, clarity, and overall visual quality, making it more appealing and detailed.
multiscale_mode
settings to achieve various types of enhancements, such as edge enhancement or sharpening, to see which best suits your artistic vision.multiscale_strength
parameter incrementally to find the optimal balance between subtle and strong enhancements, ensuring the final image meets your quality standards.slice_b1
and slice_b2
parameters to control the granularity of the enhancement process, which can help in achieving more detailed and refined results.b1
, b2
, s1
, and s2
parameters to customize the intensity and scale of the enhancements, allowing for precise control over the final output.slice_b1
or slice_b2
parameters are set outside their allowable range.slice_b1
is between 64 and 1280, and slice_b2
is between 64 and 640. Adjust the values to fall within these ranges.model
parameter is not provided.model
parameter before executing the node.multiscale_mode
parameter.© Copyright 2024 RunComfy. All Rights Reserved.