ComfyUI  >  Nodes  >  FreeU_Advanced >  FreeU V2 (Advanced Plus)

ComfyUI Node: FreeU V2 (Advanced Plus)

Class Name

FreeU_V2 (Advanced)

Category
_for_testing
Author
WASasquatch (Account age: 4634 days)
Extension
FreeU_Advanced
Latest Updated
6/17/2024
Github Stars
0.1K

How to Install FreeU_Advanced

Install this extension via the ComfyUI Manager by searching for  FreeU_Advanced
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter FreeU_Advanced in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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FreeU V2 (Advanced Plus) Description

Enhance AI-generated images with precise multi-scale processing for improved sharpness and clarity.

FreeU_V2 (Advanced):

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.

FreeU_V2 (Advanced) Input Parameters:

model

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.

target_block

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.

multiscale_mode

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.

multiscale_strength

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.

slice_b1

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.

slice_b2

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.

b1

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.

b2

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.

s1

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.

s2

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.

FreeU_V2 (Advanced) Output Parameters:

enhanced_image

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.

FreeU_V2 (Advanced) Usage Tips:

  • Experiment with different multiscale_mode settings to achieve various types of enhancements, such as edge enhancement or sharpening, to see which best suits your artistic vision.
  • Adjust the multiscale_strength parameter incrementally to find the optimal balance between subtle and strong enhancements, ensuring the final image meets your quality standards.
  • Utilize the slice_b1 and slice_b2 parameters to control the granularity of the enhancement process, which can help in achieving more detailed and refined results.
  • Fine-tune the b1, b2, s1, and s2 parameters to customize the intensity and scale of the enhancements, allowing for precise control over the final output.

FreeU_V2 (Advanced) Common Errors and Solutions:

No valid override scales found. Using default scale.

  • Explanation: This error occurs when the override scales provided are not valid or properly formatted.
  • Solution: Ensure that the override scales are correctly formatted and contain valid values. Check for any syntax errors or unsupported characters in the override scales input.

Invalid slice size parameters

  • Explanation: This error occurs when the slice_b1 or slice_b2 parameters are set outside their allowable range.
  • Solution: Verify that slice_b1 is between 64 and 1280, and slice_b2 is between 64 and 640. Adjust the values to fall within these ranges.

Model not specified

  • Explanation: This error occurs when the model parameter is not provided.
  • Solution: Ensure that a valid model is specified in the model parameter before executing the node.

Invalid multiscale mode

  • Explanation: This error occurs when an unsupported value is provided for the multiscale_mode parameter.
  • Solution: Select a valid multi-scale mode from the predefined list of options available in the system.

FreeU V2 (Advanced Plus) Related Nodes

Go back to the extension to check out more related nodes.
FreeU_Advanced
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