ComfyUI Node: Preview Chooser Fabric

Preview Chooser Fabric:

The Preview Chooser Fabric node is designed to enhance your workflow by allowing you to preview multiple images and select the ones you want to proceed with. This node is particularly useful when working with batches of images, as it provides a convenient way to pause the workflow and make selections based on visual inspection. By offering a dual output of "positive" and "negative" latents, it helps in categorizing and processing images more effectively. This node is ideal for AI artists who need to sift through numerous generated images and make quick, informed decisions on which ones to keep and which to discard.

Preview Chooser Fabric Input Parameters:

mode

The mode parameter determines how the node handles the selection process. It offers several options: "Always pause," "Repeat last selection," "Only pause if batch," "Progress first pick," "Pass through," "Take First n," and "Take Last n." Each mode affects the workflow differently. For example, "Always pause" will halt the workflow for user input, while "Pass through" will continue without interruption. The default value is "Always pause."

count

The count parameter specifies the number of images to be processed. It is an integer value with a minimum of 1 and a maximum of 999. The default value is 1. This parameter is crucial for batch processing, as it defines the scope of images to be previewed and selected.

images

The images parameter is an optional input that accepts a list of images to be previewed. These images are displayed for selection, allowing you to choose which ones to keep or discard. If not provided, the node will operate in a read-from-stash mode, using previously stored images.

latents

The latents parameter is an optional input that accepts a list of latent representations corresponding to the images. These latents are used in the selection process to generate the final output. If not provided, the node will use previously stored latents.

masks

The masks parameter is an optional input that accepts a list of masks corresponding to the images. These masks can be used to refine the selection process. If not provided, the node will use previously stored masks.

Preview Chooser Fabric Output Parameters:

positive

The positive output provides the latent representations of the images that were selected as "positive" during the preview process. These latents can be further processed or used in subsequent nodes.

negative

The negative output provides the latent representations of the images that were selected as "negative" during the preview process. These latents can be discarded or used for different purposes, depending on your workflow.

Preview Chooser Fabric Usage Tips:

• Use the "Always pause" mode when you need to manually inspect and select images from a batch, ensuring you have full control over the selection process.
• Utilize the "Repeat last selection" mode for consistent selections across multiple runs, which is useful for maintaining uniformity in your workflow.
• When working with large batches, consider using the "Only pause if batch" mode to streamline the process and reduce interruptions.

Preview Chooser Fabric Common Errors and Solutions:

"No images provided"

• Explanation: This error occurs when the images parameter is not provided and there are no stored images to read from.
• Solution: Ensure that you provide a list of images or have previously stored images available for the node to use.

"Invalid mode selected"

• Explanation: This error occurs when an unsupported mode is selected for the mode parameter.
• Solution: Verify that the mode you selected is one of the supported options: "Always pause," "Repeat last selection," "Only pause if batch," "Progress first pick," "Pass through," "Take First n," or "Take Last n."

"Latents mismatch"

• Explanation: This error occurs when the number of latents provided does not match the number of images.
• Solution: Ensure that the list of latents corresponds correctly to the list of images provided.

"Masks mismatch"

• Explanation: This error occurs when the number of masks provided does not match the number of images.
• Solution: Ensure that the list of masks corresponds correctly to the list of images provided.