ComfyUI > Nodes > ComfyUI-ReduxFineTune > Flux Redux Style Fine Tune (Simple)

ComfyUI Node: Flux Redux Style Fine Tune (Simple)

Class Name

ReduxFineTune

Category
🧪AILab/⚛️ReduxFineTune
Author
1038lab (Account age: 774days)
Extension
ComfyUI-ReduxFineTune
Latest Updated
2025-05-05
Github Stars
0.04K

How to Install ComfyUI-ReduxFineTune

Install this extension via the ComfyUI Manager by searching for ComfyUI-ReduxFineTune
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-ReduxFineTune 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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Flux Redux Style Fine Tune (Simple) Description

Enhance images with stylistic transformations for AI artists seeking precision and artistic flair.

Flux Redux Style Fine Tune (Simple):

ReduxFineTune is a node designed to enhance and fine-tune images by applying various stylistic transformations. It leverages advanced techniques to blend and adjust different aspects of an image, such as style, color, content, structure, and texture, to achieve a desired artistic effect. The node is particularly beneficial for AI artists looking to refine their creations with precision, offering a range of parameters that allow for detailed customization. By using ReduxFineTune, you can transform your images with enhanced quality and artistic flair, making it an essential tool for those seeking to elevate their digital artwork.

Flux Redux Style Fine Tune (Simple) Input Parameters:

conditioning

This parameter refers to the initial state or setup of the image before any transformations are applied. It sets the baseline for the subsequent stylistic adjustments.

style_model

The style model is a crucial component that dictates the artistic style to be applied to the image. It serves as the template or reference for the stylistic transformation.

clip_vision

This parameter involves the use of a vision model to analyze and interpret the image, aiding in the application of style and other transformations.

image

The image parameter is the input image that you wish to transform. It is the canvas on which all stylistic adjustments will be applied.

crop

Crop determines how the image is trimmed or resized before applying transformations. Options include "none" for no cropping, among others.

fusion_mode

Fusion mode specifies how different stylistic elements are blended together. The default option is "Mix," which combines elements in a balanced manner.

style_strength

This parameter controls the intensity of the style applied to the image. A higher value results in a more pronounced stylistic effect. The default value is 1.0.

color_strength

Color strength adjusts the vibrancy and saturation of colors in the image. A value of 0.0 means no change, while higher values increase color intensity.

content_strength

Content strength influences how much of the original image's content is preserved. A value of 0.0 means no content preservation, while higher values retain more of the original image.

structure_strength

Structure strength affects the retention of structural elements in the image. A value of 0.0 means no structural preservation, while higher values maintain more of the original structure.

texture_strength

Texture strength controls the application of texture to the image. A value of 0.0 means no texture is added, while higher values increase texture application.

prompt_strength

Prompt strength determines the influence of any textual prompts on the image transformation. A value of 1.0 means full influence, while lower values reduce the impact.

feature_noise

Feature noise introduces randomness to the transformation process, potentially creating unique artistic effects. A value of 0.0 means no noise, while higher values increase randomness.

feature_resolution

Feature resolution sets the level of detail in the transformation process. A higher resolution results in finer details. The default value is 16.

mask

The mask parameter allows for selective application of transformations to specific areas of the image, leaving other areas unchanged.

SUPER_REDUX

This boolean parameter enables the Super Redux mode, which provides extra enhancement and quality to the image. The default value is False.

Flux Redux Style Fine Tune (Simple) Output Parameters:

result

The result is the transformed image, reflecting all the applied stylistic adjustments. It represents the final output of the node, showcasing the enhanced artistic quality and style.

Flux Redux Style Fine Tune (Simple) Usage Tips:

  • Experiment with different style models to find the one that best suits your artistic vision.
  • Adjust the style_strength and color_strength parameters to achieve the desired level of stylistic impact and color vibrancy.
  • Use the mask parameter to apply transformations selectively, allowing for creative control over specific areas of the image.

Flux Redux Style Fine Tune (Simple) Common Errors and Solutions:

"Invalid style model"

  • Explanation: This error occurs when the specified style model is not recognized or is incompatible with the node.
  • Solution: Ensure that you are using a valid and supported style model. Check the documentation for a list of compatible models.

"Image input not found"

  • Explanation: This error indicates that the input image is missing or not properly loaded.
  • Solution: Verify that the image path is correct and that the image is accessible. Reload the image if necessary.

"Parameter out of range"

  • Explanation: This error arises when a parameter value exceeds its allowable range.
  • Solution: Check the parameter values and ensure they fall within the specified limits. Adjust any values that are too high or too low.

Flux Redux Style Fine Tune (Simple) Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-ReduxFineTune
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