Visit ComfyUI Online for ready-to-use ComfyUI environment
Efficiently select images and masks from batch using specified indices for targeted workflows and error prevention.
The LayerUtility: BatchSelector node is designed to help you efficiently select specific images and masks from a batch based on specified indices. This node is particularly useful when you need to process or manipulate only certain elements from a larger set of images or masks, allowing for more targeted and efficient workflows. By providing a list of indices, you can extract the desired images and masks, ensuring that your operations are focused and relevant. This node also handles cases where the specified indices exceed the available elements by providing default empty images and masks, ensuring robustness and preventing errors.
The select parameter is a string that specifies the indices of the images and masks you want to select from the batch. The indices should be provided as a comma-separated list (e.g., "0,1,2"). This parameter is crucial as it determines which elements from the input batches will be processed and returned. The default value is "0," which means the first element will be selected by default.
The images parameter is an optional input that accepts a batch of images. If provided, the node will use the indices specified in the select parameter to extract the corresponding images from this batch. If the index exceeds the number of available images, the last image in the batch will be used as a fallback.
The masks parameter is an optional input that accepts a batch of masks. Similar to the images parameter, the node will use the indices specified in the select parameter to extract the corresponding masks from this batch. If the index exceeds the number of available masks, the last mask in the batch will be used as a fallback.
The image output parameter returns a batch of images that have been selected based on the indices provided in the select parameter. This output allows you to work with a specific subset of images from the original batch, facilitating more focused and efficient image processing tasks.
The mask output parameter returns a batch of masks that have been selected based on the indices provided in the select parameter. This output enables you to work with a specific subset of masks from the original batch, ensuring that your mask-related operations are targeted and relevant.
select parameter is correctly formatted as a comma-separated list of indices to avoid selection errors.images and masks parameters to provide the batches you want to select from, but remember that these are optional. If not provided, the node will return default empty images and masks.select parameter to ensure they are within the range of the available elements to avoid unintended fallbacks to the last element.select parameter exceed the number of available elements in the images or masks batch.select parameter are within the range of the available elements in the provided batches. If necessary, adjust the indices to match the size of your batches.select parameter contains non-numeric values or is not properly formatted as a comma-separated list of integers.select parameter is correctly formatted and contains only numeric values separated by commas. Correct any formatting issues or non-numeric entries.images or masks parameter is not provided, and the node attempts to access elements from a None object.images and masks parameters if you intend to use them. If you do not need to provide these parameters, ensure that your workflow can handle the default empty images and masks returned by the node.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.