ComfyUI Node: IMAGE Saver @ vrch.ai

IMAGE Saver @ vrch.ai:

The VrchImageSaverNode is a specialized node designed to facilitate the saving of images within the ComfyUI framework. Its primary purpose is to handle the conversion and storage of image data, ensuring that images are saved in a specified format and location. This node is particularly beneficial for AI artists who need to manage and organize their generated images efficiently. By leveraging this node, you can save images in various formats such as PNG, JPEG, or WEBP, with options to optimize the image quality and file size. The node's functionality is crucial for maintaining a streamlined workflow, allowing you to focus on the creative aspects of your projects while ensuring that your image assets are stored securely and accessibly.

IMAGE Saver @ vrch.ai Input Parameters:

images

The images parameter is a collection of images that you wish to save. These images can be in the form of tensors or numpy arrays, which the node will process and convert into a suitable format for saving. The quality and format of the saved images depend on the other parameters you set.

filename

The filename parameter specifies the base name for the saved image files. If multiple images are being saved, the node will append an index to each filename to ensure uniqueness. This parameter is crucial for organizing and identifying your saved images.

path

The path parameter determines the directory where the images will be saved. It allows you to specify a subfolder within the output directory, helping you organize your images into different categories or projects.

extension

The extension parameter defines the file format for the saved images, such as png, jpeg, or webp. This choice affects the image quality and file size, with each format offering different benefits and trade-offs.

quality_jpeg_or_webp

The quality_jpeg_or_webp parameter sets the quality level for JPEG or WEBP images, with a default value of 85. This parameter influences the compression level and visual quality of the saved images, allowing you to balance between file size and image fidelity.

optimize_png

The optimize_png parameter is a boolean flag that, when enabled, optimizes PNG images to reduce file size without losing quality. This is particularly useful for saving storage space while maintaining high image quality.

lossless_webp

The lossless_webp parameter is a boolean flag that, when enabled, saves WEBP images in a lossless format, preserving the original image quality. This option is ideal for scenarios where image fidelity is a priority.

enable_preview

The enable_preview parameter is a boolean flag that, when enabled, returns a preview of the saved images in the UI. This feature is useful for quickly verifying the saved images without navigating to the file directory.

IMAGE Saver @ vrch.ai Output Parameters:

ui

The ui output parameter provides a preview of the saved images when the enable_preview option is activated. It includes metadata such as filenames and subfolder paths, allowing you to easily access and review the saved images directly from the UI.

IMAGE Saver @ vrch.ai Usage Tips:

• To optimize image quality and file size, choose the appropriate extension and adjust the quality_jpeg_or_webp parameter according to your needs.
• Use the path parameter to organize your images into specific folders, making it easier to manage and locate your files later.
• Enable the optimize_png and lossless_webp options to maintain high image quality while minimizing file size, especially when dealing with large image datasets.

IMAGE Saver @ vrch.ai Common Errors and Solutions:

"FileNotFoundError: [Errno 2] No such file or directory"

• Explanation: This error occurs when the specified path does not exist or cannot be created.
• Solution: Ensure that the path parameter is set correctly and that you have the necessary permissions to create directories in the specified location.

"ValueError: Unknown file extension"

• Explanation: This error is raised when an unsupported file extension is provided.
• Solution: Verify that the extension parameter is set to a supported format such as png, jpeg, or webp.

"TypeError: Image data is not in a recognized format"

• Explanation: This error occurs when the images parameter contains data that cannot be processed into an image.
• Solution: Ensure that the images parameter contains valid image data, such as tensors or numpy arrays, that can be converted into a standard image format.