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Randomly loads images from directory for AI art projects, ensuring reproducibility and compatibility with deep learning models.
The NegiTools_RandomImageLoader node is designed to randomly select and load an image from a specified directory, providing a convenient way to introduce variability and randomness into your AI art projects. This node is particularly useful for artists who want to work with a diverse set of images without manually selecting each one. By leveraging a seed value, it ensures reproducibility, allowing you to consistently retrieve the same image for a given seed. The node supports common image formats such as PNG, JPG, and JPEG, making it versatile for various artistic needs. The loaded image is processed to ensure compatibility with further image manipulation tasks, converting it to a tensor format suitable for deep learning models.
The directory
parameter specifies the path to the folder containing the images you want to randomly load. It accepts a string input, which should be the path to your image directory. The default value is set to ./input
, meaning it will look for images in a folder named input
located in the current working directory. This parameter is crucial as it defines the source from which images will be randomly selected.
The seed
parameter is an integer that determines the specific image to be loaded from the directory. It ensures that the same image is selected each time for a given seed value, providing reproducibility. The seed value can range from 0 to 0xffffffffffffffff (a very large number), with a default value of 0. This parameter is essential for controlling the randomness and ensuring consistent results across different runs.
The output parameter IMAGE
is a tensor representation of the randomly selected image. This tensor is formatted to be compatible with deep learning models, with the image data converted to an RGBA format and then to a tensor. The alpha channel is used to handle transparency, ensuring that any fully transparent pixels are set to zero in the RGB channels. This output is crucial for further image processing tasks, providing a standardized format that can be easily manipulated or fed into neural networks.
directory
parameter contains a variety of images in supported formats (PNG, JPG, JPEG) to fully utilize the randomness feature.directory
parameter does not contain any images in the supported formats (PNG, JPG, JPEG).directory
parameter. Ensure that the path is correct and that the directory exists. Also, verify that the images are present in the specified directory.© Copyright 2024 RunComfy. All Rights Reserved.