ComfyUI Node: FL Directory Crawl

FL Directory Crawl:

The FL_DirectoryCrawl node is designed to help you efficiently gather and process images from a specified directory and its subdirectories. This node is particularly useful for AI artists who need to batch process a large number of images for their projects. By automatically scanning through directories, it identifies and loads images in various supported formats, making it easier to manage and utilize large image datasets. The node ensures that all images are correctly oriented and converted to a consistent format, ready for further processing or analysis. This functionality can save you significant time and effort, allowing you to focus more on your creative work rather than manual file handling.

FL Directory Crawl Input Parameters:

directory_path

The directory_path parameter specifies the path to the directory you want to scan for images. This parameter is crucial as it determines the root directory from which the node will start its search. The node will recursively search through all subdirectories within this path to find images. The default value is an empty string, which means you need to provide a valid directory path for the node to function correctly. If the directory path is not provided, the node will raise an error. This parameter does not have a minimum or maximum value but must be a valid string representing a directory path.

FL Directory Crawl Output Parameters:

IMAGE

The IMAGE output parameter is a batch of images that the node has found and processed from the specified directory. This output is a tensor containing all the images in a consistent format, ready for further use in your AI projects. Each image in the batch is correctly oriented and converted to RGB format, ensuring uniformity. This output is essential for tasks that require a large number of images to be processed simultaneously, such as training machine learning models or generating art.

FL Directory Crawl Usage Tips:

• Ensure that the directory_path you provide is correct and accessible to avoid errors during the directory crawl process.
• Use this node to quickly gather and preprocess images from large datasets, saving time on manual file handling.
• Combine this node with other image processing nodes to create a streamlined workflow for your AI art projects.

FL Directory Crawl Common Errors and Solutions:

Directory path is not provided.

• Explanation: This error occurs when the directory_path parameter is left empty.
• Solution: Provide a valid directory path to the directory_path parameter to ensure the node can locate and process the images.

No images found in the specified directory and its subdirectories.

• Explanation: This error occurs when the node does not find any images in the specified directory and its subdirectories.
• Solution: Verify that the directory contains images in supported formats (jpg, jpeg, png, bmp, gif, txt) and that the path is correct. Ensure that the images are not located in excluded subdirectories.