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Facilitates selection and batching of images based on specified indices for efficient processing and manipulation.
The RH_BatchImages
node is designed to facilitate the selection and batching of images from a given list based on specified indices. This node is particularly useful when you need to process or manipulate a subset of images from a larger collection, allowing for efficient handling and transformation of image data. By specifying indices, you can precisely control which images are included in the batch, making it a powerful tool for tasks that require selective image processing. The node's primary function is to create a batch of images that can be easily managed and processed in subsequent operations, ensuring that the images are aligned in terms of dimensions and channels for seamless integration into your workflow.
This parameter represents the list of images from which you want to create a batch. It is crucial as it serves as the source of the images that will be processed and batched. The images should be in a compatible format, typically as tensors, to ensure smooth operation within the node.
This parameter allows you to specify which images from the list should be included in the batch. You can use a range format like 0-3,4,5-7
to select specific indices or leave it empty to select all images. This flexibility enables you to tailor the batch to your specific needs, whether you want to process a continuous range of images or select individual ones. The default value is 0-3,4,5-7
, but it can be adjusted to fit your requirements.
The output parameter is a batch of images, represented as a tensor. This batch is constructed based on the specified indices and is formatted to ensure consistency in dimensions and channels across all images. The batched images are ready for further processing or analysis, providing a streamlined and efficient way to handle multiple images simultaneously.
image_indices
parameter empty. This will automatically include every image in the batch.image_indices
include values that exceed the bounds of the image list.image_indices
string contains non-numeric characters or improperly formatted ranges.image_indices
string is correctly formatted, using only numbers and hyphens for ranges, and commas to separate different indices or ranges.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.