ComfyUI > Nodes > Comfyroll Studio > ⌨️ CR Load Image List Plus

ComfyUI Node: ⌨️ CR Load Image List Plus

Class Name

CR Load Image List Plus

Category
🧩 Comfyroll Studio/✨ Essential/📜 List/⌨️ IO
Author
Suzie1 (Account age: 2158days)
Extension
Comfyroll Studio
Latest Updated
2024-06-05
Github Stars
0.49K

How to Install Comfyroll Studio

Install this extension via the ComfyUI Manager by searching for Comfyroll Studio
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter Comfyroll Studio in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

Visit ComfyUI Online for ready-to-use ComfyUI environment

  • Free trial available
  • High-speed GPU machines
  • 200+ preloaded models/nodes
  • Freedom to upload custom models/nodes
  • 50+ ready-to-run workflows
  • 100% private workspace with up to 200GB storage
  • Dedicated Support

Run ComfyUI Online

⌨️ CR Load Image List Plus Description

Facilitates loading and processing multiple images with metadata control for AI artists.

⌨️ CR Load Image List Plus:

The CR Load Image List Plus node is designed to facilitate the loading and processing of multiple images from a specified directory, enhancing your workflow by providing additional metadata and control over the images. This node is particularly useful for AI artists who need to work with a batch of images, as it not only loads the images but also extracts and organizes relevant information such as filenames, indices, and EXIF data. By leveraging this node, you can streamline the process of handling large sets of images, making it easier to manage and utilize them in your creative projects.

⌨️ CR Load Image List Plus Input Parameters:

input_path

The input_path parameter specifies the directory path from which the images will be loaded. If this path is provided and valid, the node will use it to locate the images. If not provided, the node will default to a predefined input directory. This parameter is crucial as it determines the source of the images to be processed. Ensure the path is correct to avoid errors. There is no specific minimum or maximum value, but it must be a valid directory path.

input_folder

The input_folder parameter is used when input_path is not specified. It defines the folder within the default input directory where the images are located. This allows for flexibility in organizing and accessing different sets of images without changing the main directory path. Like input_path, it must be a valid folder name within the input directory.

start_index

The start_index parameter determines the starting point in the list of images to begin loading. This is useful for skipping a certain number of images at the beginning of the directory. The minimum value is 0, and the maximum value is the total number of images in the directory minus one. The default value is 0.

max_images

The max_images parameter specifies the maximum number of images to load from the directory. This helps in controlling the batch size and managing memory usage. The minimum value is 1, and the maximum value is the total number of images in the directory. The default value is set based on the typical use case but can be adjusted as needed.

⌨️ CR Load Image List Plus Output Parameters:

image_list

The image_list output parameter contains the loaded images in a format ready for further processing. Each image is converted to RGB and stored in a list, making it easy to iterate over and apply subsequent operations.

mask_list

The mask_list output parameter provides a list of masks corresponding to the loaded images. This is useful for tasks that require image segmentation or masking.

index_list

The index_list output parameter includes the indices of the loaded images. This helps in tracking the position of each image within the original directory, which can be useful for referencing and organizing.

filename_list

The filename_list output parameter contains the filenames of the loaded images. This is particularly helpful for logging, debugging, or any process that requires knowledge of the original filenames.

exif_list

The exif_list output parameter provides the EXIF metadata for each loaded image. EXIF data includes information such as camera settings, date and time of capture, and other relevant details that can be useful for various image processing tasks.

⌨️ CR Load Image List Plus Usage Tips:

  • Ensure the input_path or input_folder is correctly specified to avoid errors related to missing directories.
  • Use the start_index and max_images parameters to control the subset of images you want to process, which can help in managing large datasets.
  • Leverage the exif_list output to access metadata that can inform your image processing or analysis tasks.

⌨️ CR Load Image List Plus Common Errors and Solutions:

[Warning] CR Image List: The input_path \``<input_path>` does not exist`

  • Explanation: This error occurs when the specified input_path does not exist.
  • Solution: Verify that the input_path is correct and points to an existing directory.

[Warning] CR Image List: The folder \``<in_path>` is empty`

  • Explanation: This error indicates that the specified directory does not contain any images.
  • Solution: Ensure that the directory contains the images you intend to load and that the path is correctly specified.

IndexError: list index out of range

  • Explanation: This error can occur if the start_index or max_images parameters are set incorrectly, causing the node to attempt to access an index outside the bounds of the image list.
  • Solution: Adjust the start_index and max_images parameters to ensure they are within the valid range based on the number of images in the directory.

⌨️ CR Load Image List Plus Related Nodes

Go back to the extension to check out more related nodes.
Comfyroll Studio
RunComfy

© Copyright 2024 RunComfy. All Rights Reserved.

RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals.