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Streamline image selection and management with dynamic switching for up to 15 images in AI art projects.
The Image15Switcher_node is designed to streamline the process of selecting and managing multiple images within your AI art projects. This node allows you to input up to 15 different images and dynamically switch between them based on your selection. It is particularly useful for projects that require comparing or combining multiple images, as it provides a convenient way to handle numerous inputs without cluttering your workspace. The node also offers options for previewing the selected image or a connection diagram, making it easier to visualize the relationships between different images. Additionally, it includes features for labeling images and customizing the appearance of these labels, enhancing the clarity and organization of your project.
This parameter allows you to choose which image to select from the 15 available inputs. The options range from "Image 1" to "Image 15", with "Image 1" being the default selection. This selection determines which image will be processed and displayed by the node.
This parameter controls the size of the font used for labeling the selected image. The available options are "Small", "Medium", and "Large", with "Medium" being the default. The font size impacts the readability of the labels on the images.
This parameter specifies the color of the font used for labeling the selected image. The options include "White", "Black", "Red", "Green", "Blue", "Yellow", "Brown", and "Orange", with "White" as the default. The font color affects the visibility and aesthetic of the labels.
This parameter allows you to specify the font file used for labeling the selected image. The default value is "seguisb.ttf", which is a standard Arial font. This parameter provides flexibility in choosing a custom font for your labels.
This boolean parameter determines whether a label should be added to the selected image. The default value is True
. Enabling this option helps in identifying the selected image, especially when working with multiple inputs.
This boolean parameter controls whether a preview of the selected image or connection diagram should be generated. The default value is True
. Enabling this option allows you to visualize the selected image or the connection diagram, aiding in better decision-making.
This parameter specifies the type of preview to be generated. The options are "Input Image" and "Connection Diagram", with "Input Image" as the default. This selection determines whether the preview will show the selected image or a diagram illustrating the connections between images.
These optional parameters allow you to input up to 15 different images. Each parameter accepts an image file, which can then be selected and processed by the node. These inputs provide the flexibility to manage and switch between multiple images within a single node.
This hidden parameter is used to store additional information or metadata related to the image selection process. It is not directly configurable by the user but can be utilized for advanced functionalities.
This hidden parameter is used to store extra PNG information or metadata. Similar to the prompt
parameter, it is not directly configurable by the user but can be useful for advanced features.
This output parameter provides the tensor representation of the selected image. It is the primary output of the node and can be used for further processing or visualization in your AI art project.
This output parameter provides a tensor representation of the connection diagram. The connection diagram illustrates the relationships between the different images, helping you understand how they are interconnected. This output is particularly useful for visualizing complex image selection processes.
preview
and preview_type
parameters to visualize your selections before finalizing them. This can save time and help you make more informed decisions.font_size
and font_color
parameters to improve the readability of labels, especially when working with high-resolution images or complex projects.preview
and preview_type
parameters to ensure they are correctly configured. Additionally, verify that all image inputs are valid and properly formatted.© Copyright 2024 RunComfy. All Rights Reserved.