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Efficiently select specific images from a batch based on custom names for enhanced workflow efficiency.
The ImageBatchSelector node is designed to facilitate the selection of specific images from a batch of images based on custom names. This node is particularly useful in scenarios where you have a collection of images and need to extract a particular one by specifying its name. It allows for efficient image management by enabling you to input a list of image names and select the desired image either by directly providing the name or through a connected input. This functionality is beneficial for batch processing tasks where precise image selection is required, enhancing workflow efficiency and accuracy.
This parameter accepts a batch of images as input. It is essential for the node to function, as it provides the pool of images from which a specific image will be selected. The images should be in a compatible format that the node can process.
This parameter is a string that contains a list of image names, separated by commas. It serves as a reference list for the images in the batch, allowing you to specify which image to select by name. The default value is "image1,image2,image3", but you can customize it to match the names of your images. This parameter is crucial for identifying and selecting the correct image from the batch.
This optional parameter allows you to specify the name of the image you wish to select from the batch. If provided, the node will validate this name against the list of names to ensure it is valid. If the selected name is not found in the list, an error will be raised. This parameter provides a direct way to choose a specific image without needing to manually search through the list.
The output of the ImageBatchSelector node is the selected image from the batch. This image is returned in a format that can be used for further processing or analysis. If the selected image is a single image, the node will add a batch dimension to it, ensuring consistency in output format. This output is crucial for tasks that require the use of a specific image from a larger set.
names
parameter accurately reflects the names of the images in your batch to avoid selection errors.selected_name
parameter to quickly select an image by name, which can streamline workflows that require frequent access to specific images.selected_name
is correctly spelled and matches one of the names in the names
list.images
parameter contains a valid batch of images.<selected_name>
' 不在有效名称列表中"selected_name
is not found in the list of valid names.selected_name
is correctly spelled and exists in the names
list.names
parameter is empty.names
parameter to ensure proper image selection.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.