ComfyUI Node: 📁 Isulion Load Images from Directory

📁 Isulion Load Images from Directory:

The IsulionLoadImagesNode is a versatile tool designed to load images from a specified directory while maintaining their original characteristics, making it ideal for dynamic collage generation. This node is particularly beneficial for AI artists who need to process multiple images efficiently, as it automatically corrects image orientation, converts images to a consistent RGB format, and intelligently scales them to a target row height while preserving their aspect ratios. By converting images into tensors, it prepares them for further processing in AI models, ensuring that the images are ready for creative manipulation and integration into larger projects. The node's ability to handle images without forcing them into a uniform size allows for greater flexibility and creativity in image composition.

📁 Isulion Load Images from Directory Input Parameters:

directory

The directory parameter specifies the path to the folder containing the images you wish to load. It is a string input, and by default, it is set to "./input". This parameter is crucial as it determines the source of the images that the node will process. Ensuring the correct directory path is provided will directly impact the node's ability to locate and load the desired images.

target_row_height

The target_row_height parameter defines the height to which images will be scaled, maintaining their original aspect ratios. It is an integer input with a default value of 300, a minimum of 100, and a maximum of 1024, adjustable in steps of 50. This parameter is important for controlling the size of the images in the output, allowing you to tailor the image dimensions to fit specific project requirements or aesthetic preferences.

📁 Isulion Load Images from Directory Output Parameters:

images

The images output parameter is a collection of image tensors that have been processed and prepared for further use. Each image is converted into a tensor format, which is essential for compatibility with AI models and further image processing tasks. This output allows you to seamlessly integrate the loaded images into your creative workflows, enabling dynamic and flexible image manipulation.

📁 Isulion Load Images from Directory Usage Tips:

• Ensure that the directory path is correctly specified to avoid issues with image loading. Double-check the path for typos or incorrect folder names.
• Adjust the target_row_height to match the desired output size for your project. This can help maintain a consistent look across your images while preserving their original aspect ratios.

📁 Isulion Load Images from Directory Common Errors and Solutions:

FileNotFoundError

• Explanation: This error occurs when the specified directory path does not exist or is incorrect.
• Solution: Verify that the directory path is correct and that the folder exists. Ensure there are no typos in the path.

ImageFileError

• Explanation: This error may arise if the node encounters a file that is not a valid image or is corrupted.
• Solution: Check the contents of the directory to ensure all files are valid images. Remove or replace any corrupted files.

ValueError: Target row height out of range

• Explanation: This error occurs when the target_row_height is set outside the allowed range of 100 to 1024.
• Solution: Adjust the target_row_height to be within the specified range, ensuring it is between 100 and 1024.