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Enhance images with stylistic transformations for AI artists seeking precision and artistic flair.
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.
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.
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.
This parameter involves the use of a vision model to analyze and interpret the image, aiding in the application of style and other transformations.
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 determines how the image is trimmed or resized before applying transformations. Options include "none" for no cropping, among others.
Fusion mode specifies how different stylistic elements are blended together. The default option is "Mix," which combines elements in a balanced manner.
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 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 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 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 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 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 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 sets the level of detail in the transformation process. A higher resolution results in finer details. The default value is 16.
The mask parameter allows for selective application of transformations to specific areas of the image, leaving other areas unchanged.
This boolean parameter enables the Super Redux mode, which provides extra enhancement and quality to the image. The default value is False.
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.
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