Visit ComfyUI Online for ready-to-use ComfyUI environment
Facilitates selective image recoloring with RGB mask for precise color adjustments in digital art.
The tri3d-recolor-mask-RGB_space
node is designed to facilitate the recoloring of specific regions within an image using a mask in the RGB color space. This node is particularly useful for artists and designers who wish to apply color transformations to selected areas of an image while preserving the original colors in unmasked regions. By leveraging the RGB color space, the node allows for intuitive color adjustments that align with the way colors are typically represented in digital images. The primary goal of this node is to enable precise and controlled color modifications, enhancing the creative possibilities for image editing and artistic expression.
The image_input
parameter represents the original image that you want to recolor. This image serves as the base for applying the mask and subsequent color transformations. The quality and resolution of this image can impact the final output, so it is advisable to use high-quality images for the best results.
The mask_input
parameter is a binary mask that defines the areas of the image to be recolored. Pixels with a value greater than 127 in the mask are considered part of the region to be recolored, while others remain unchanged. This mask allows for selective recoloring, enabling you to target specific parts of the image for color adjustments.
The factor_mean
parameter is a numerical value that influences the mean color adjustment applied to the masked region. It determines how much the average color of the selected area will shift, allowing for subtle or dramatic changes in hue and tone. Adjusting this factor can help achieve the desired color balance in the recolored region.
The factor_sigma
parameter controls the standard deviation of the color distribution in the masked region. By modifying this value, you can affect the contrast and saturation of the recolored area, making it more vibrant or muted. This parameter is crucial for fine-tuning the visual impact of the recoloring process.
The image_original
output is the final recolored image, where the specified regions have been adjusted according to the input parameters. This output retains the original colors in unmasked areas while applying the desired color transformations to the masked regions. The result is a seamlessly integrated image that reflects the intended artistic modifications.
factor_mean
and factor_sigma
values to find the perfect balance for your artistic vision.factor_mean
or factor_sigma
values might be set too high or too low, causing unrealistic color shifts.factor_mean
and factor_sigma
parameters incrementally to achieve a more natural look.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.