Visit ComfyUI Online for ready-to-use ComfyUI environment
Generates customizable outlines for masks to highlight image areas for design tasks.
The MaskOutline node is designed to enhance your image processing workflow by generating an outline version of a given mask. This node is particularly useful for artists and designers who need to emphasize or highlight specific areas within an image. By creating an outline, you can draw attention to the boundaries of a mask, which can be crucial for tasks such as image segmentation, object detection, or artistic effects. The node allows you to customize the width of the outline and choose whether the outline should be created inside, outside, or on both sides of the original mask boundary. This flexibility ensures that you can achieve the desired visual effect for your specific project needs.
The mask parameter is the input mask from which the outline will be created. It is expected to be a tensor with values ranging from 0 to 1, representing the areas of interest within the image. This parameter is crucial as it defines the base shape and area that the outline will follow.
The outline_width parameter determines the thickness of the outline in pixels. It allows you to specify how bold or subtle the outline should appear. The width can range from a minimum of 1 pixel to a maximum of 100 pixels, with a default value of 5 pixels. Adjusting this parameter affects the prominence of the outline in the final output.
The mode parameter specifies where the outline should be created relative to the original mask boundary. You can choose from three options: "inside," "outside," or "both." The default setting is "inside," which creates the outline within the mask boundary. Selecting "outside" will generate the outline outside the mask, while "both" will create outlines on both sides of the boundary. This parameter allows for creative flexibility in how the outline interacts with the mask.
The outline_mask is the output parameter that provides the resulting mask with the applied outline. This output is a tensor that maintains the same dimensions as the input mask, with the outline added according to the specified parameters. The outline_mask is essential for visualizing the enhanced boundaries of the original mask, making it easier to identify and work with specific areas in your image processing tasks.
outline_width values to achieve the desired level of emphasis on the mask boundaries. A larger width can make the outline more prominent, while a smaller width can provide a subtle effect.mode parameter creatively to achieve different artistic effects. For instance, using "both" can create a double outline effect that can be visually striking in certain compositions.outline_width is outside the allowed range of 1 to 100 pixels.outline_width parameter to be within the valid range. Check the input value and ensure it is between 1 and 100.mode parameter has been set to a value that is not recognized.mode parameter is set to one of the valid options: "inside," "outside," or "both." Correct any typos or incorrect values.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.