ComfyUI Node: FreeU (Advanced Plus)

FreeU (Advanced):

FreeU (Advanced) is a sophisticated node designed to enhance the quality and flexibility of AI-generated images by leveraging advanced multiscale techniques. This node allows you to fine-tune various parameters to achieve the desired level of detail and smoothness in different parts of the image. By adjusting the multiscale strength and selecting specific target blocks, you can control how the model processes different regions, leading to more refined and visually appealing results. The primary goal of FreeU (Advanced) is to provide AI artists with greater control over the image generation process, enabling the creation of high-quality, customized artwork.

FreeU (Advanced) Input Parameters:

model

This parameter specifies the AI model to be used for image generation. It is essential for defining the base model that will be manipulated by the FreeU (Advanced) node.

target_block

This parameter allows you to select which part of the model to target for adjustments. Options include "output_block", "middle_block", "input_block", and "all". By choosing a specific block, you can focus the enhancements on particular stages of the image generation process.

multiscale_mode

This parameter determines the mode of multiscale processing to be applied. The available options are defined by the mscales dictionary. Selecting the appropriate mode can significantly impact the final image quality by adjusting how different scales are handled.

multiscale_strength

This parameter controls the strength of the multiscale effect, with a default value of 1.0. The range is from 0 to 1.0, with a step of 0.001. Adjusting this value allows you to fine-tune the intensity of the multiscale processing, balancing between detail and smoothness.

slice_b1

This parameter sets the size of the first slice for multiscale processing, with a default value of 640. The range is from 64 to 1280, with a step of 1. This parameter helps in defining the granularity of the multiscale slices.

slice_b2

This parameter sets the size of the second slice for multiscale processing, with a default value of 320. The range is from 64 to 640, with a step of 1. Similar to slice_b1, this parameter helps in defining the granularity of the multiscale slices.

b1

This parameter controls the first scaling factor for the multiscale processing, with a default value of 1.1. The range is from 0.0 to 10.0, with a step of 0.001. Adjusting this value influences the scaling applied to the first slice.

b2

This parameter controls the second scaling factor for the multiscale processing, with a default value of 1.2. The range is from 0.0 to 10.0, with a step of 0.001. Adjusting this value influences the scaling applied to the second slice.

s1

This parameter sets the first smoothing factor for the multiscale processing, with a default value of 0.9. The range is from 0.0 to 10.0, with a step of 0.001. This parameter helps in controlling the smoothness of the first slice.

s2

This parameter sets the second smoothing factor for the multiscale processing, with a default value of 0.2. The range is from 0.0 to 10.0, with a step of 0.001. This parameter helps in controlling the smoothness of the second slice.

FreeU (Advanced) Output Parameters:

x_filtered

This output parameter represents the final processed image after applying the multiscale techniques. The result is a refined image with enhanced details and smoothness, based on the input parameters and the selected model.

FreeU (Advanced) Usage Tips:

• Experiment with different target_block settings to see how focusing on different parts of the model affects the final image.
• Adjust the multiscale_strength to find the right balance between detail and smoothness for your specific use case.
• Use slice_b1 and slice_b2 to control the granularity of the multiscale slices, which can help in achieving more precise enhancements.
• Fine-tune b1, b2, s1, and s2 to customize the scaling and smoothing effects, allowing for a high degree of control over the image generation process.

FreeU (Advanced) Common Errors and Solutions:

No valid override scales found. Using default scale.

• Explanation: This error occurs when the override scales are enabled, but no valid scales are provided.
• Solution: Ensure that the override scales are correctly formatted and provided. If not needed, disable the override scales option.

Invalid slice size

• Explanation: This error occurs when the slice size parameters (slice_b1 or slice_b2) are set outside the allowed range.
• Solution: Adjust the slice size parameters to be within the specified range (64 to 1280 for slice_b1 and 64 to 640 for slice_b2).

Model not specified

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