Visit ComfyUI Online for ready-to-use ComfyUI environment
Facilitates color extraction and manipulation from images for precise color schemes in digital artwork, generating three distinct color variants for enhanced visual appeal.
The PIP ColorPicker node is designed to facilitate the extraction and manipulation of color information from images, making it an essential tool for AI artists who wish to incorporate precise color schemes into their digital artwork. This node allows you to analyze an image and derive a set of colors that can be used for various artistic purposes, such as filling, outlining, and shading. By converting image data into a format that can be easily manipulated, the PIP ColorPicker helps you create harmonious color palettes that enhance the visual appeal of your projects. Its primary function is to process an image and generate three distinct color variants, which can be used to add depth and dimension to your artwork. This node is particularly beneficial for those looking to maintain a consistent color theme across different elements of their design.
The image
parameter is the primary input for the PIP ColorPicker node, requiring an image in the form of a tensor. This parameter serves as the source from which the node extracts color information. The image should ideally be in a format that supports RGBA channels to ensure accurate color analysis. The quality and resolution of the image can impact the precision of the color extraction, so using high-quality images is recommended for optimal results.
The grid_blocks
parameter determines the granularity of the color analysis by specifying the number of blocks into which the image is divided. This parameter influences how detailed the color extraction process will be. A higher number of grid blocks allows for a more detailed analysis, capturing subtle variations in color across the image, while a lower number results in a more generalized color extraction. The default value is 40, with a minimum of 1 and a maximum of 200, allowing you to adjust the level of detail according to your artistic needs.
The 填充色
(Fill Color) output provides a color variant that is typically lighter than the average color extracted from the image. This color is suitable for use as a base or background color in your artwork, providing a foundation upon which other elements can be built.
The 描边色
(Outline Color) output represents the average color extracted from the image. This color serves as a central theme or primary color in your design, around which other colors can be coordinated. It is ideal for outlining or defining the main elements of your artwork.
The 阴影色
(Shadow Color) output offers a darker variant of the average color, which can be used to add depth and contrast to your design. This color is perfect for creating shadows or adding dimension to your artwork, enhancing the overall visual impact.
grid_blocks
values to find the right balance between detail and performance. For intricate designs, a higher number of grid blocks may be beneficial, while simpler designs may require fewer blocks.grid_blocks
parameter is set to a value outside the allowed range (1 to 200).grid_blocks
value to fall within the specified range, ensuring it is neither too low nor too high for your specific needs.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.