ComfyUI Node: Batch Image Scheduled Adjustments

Batch Image Scheduled Adjustments:

SaltScheduledImageAdjust is a versatile node designed to facilitate batch image adjustments over a scheduled timeline. This node allows you to apply a series of transformations to a collection of images, such as adjusting brightness, contrast, saturation, sharpness, and more, according to predefined schedules. The primary benefit of this node is its ability to automate complex image processing tasks, making it ideal for projects that require consistent and timed adjustments across multiple images. By leveraging this node, you can achieve a high level of control and precision in your image editing workflows, ensuring that each image is processed exactly as needed at specific intervals.

Batch Image Scheduled Adjustments Input Parameters:

images

This parameter accepts a list of images that you want to process. Each image in the list will undergo the scheduled adjustments specified by the other parameters. The quality and resolution of the input images can impact the final output, so ensure that your images meet the desired standards before processing.

masks

This optional parameter accepts a list of masks corresponding to the input images. Masks can be used to selectively apply adjustments to specific areas of an image. If no masks are provided, the adjustments will be applied to the entire image. The default value is an empty list.

brightness_schedule

This parameter defines the schedule for adjusting the brightness of the images. It accepts a list of float values, where each value represents the brightness level at a specific point in time. The default value is [1.0], which means no change in brightness. Adjusting this schedule can make your images appear lighter or darker over time.

contrast_schedule

This parameter defines the schedule for adjusting the contrast of the images. It accepts a list of float values, where each value represents the contrast level at a specific point in time. The default value is [1.0], indicating no change in contrast. Modifying this schedule can enhance or reduce the differences between light and dark areas in your images.

saturation_schedule

This parameter defines the schedule for adjusting the saturation of the images. It accepts a list of float values, where each value represents the saturation level at a specific point in time. The default value is [1.0], meaning no change in saturation. Adjusting this schedule can make your images appear more or less vibrant.

sharpness_schedule

This parameter defines the schedule for adjusting the sharpness of the images. It accepts a list of float values, where each value represents the sharpness level at a specific point in time. The default value is [1.0], indicating no change in sharpness. Modifying this schedule can make the details in your images appear crisper or softer.

gaussian_blur_schedule

This parameter defines the schedule for applying Gaussian blur to the images. It accepts a list of float values, where each value represents the blur intensity at a specific point in time. The default value is [0.0], meaning no blur. Adjusting this schedule can create a softening effect on your images.

edge_enhance_schedule

This parameter defines the schedule for enhancing the edges in the images. It accepts a list of float values, where each value represents the edge enhancement level at a specific point in time. The default value is [0.0], indicating no edge enhancement. Modifying this schedule can make the edges in your images appear more defined.

Batch Image Scheduled Adjustments Output Parameters:

adjusted_images

This output parameter provides the list of images that have been processed according to the specified schedules. Each image in the list reflects the cumulative adjustments applied over the scheduled timeline. The output images can be used for further processing or as final assets in your projects.

Batch Image Scheduled Adjustments Usage Tips:

• To achieve smooth transitions in your image adjustments, ensure that the schedules for each parameter have gradual changes rather than abrupt shifts.
• Experiment with different schedule values to find the optimal settings for your specific project needs. Small adjustments can have a significant impact on the final output.
• Use masks to target specific areas of your images for adjustments, allowing for more precise and localized editing.

Batch Image Scheduled Adjustments Common Errors and Solutions:

"Input images list is empty"

• Explanation: This error occurs when no images are provided to the images parameter.
• Solution: Ensure that you provide a list of images to be processed.

"Schedule length mismatch"

• Explanation: This error occurs when the length of the schedules for different parameters does not match.
• Solution: Ensure that all schedule lists have the same length to maintain synchronization in adjustments.

"Invalid schedule values"

• Explanation: This error occurs when the schedule lists contain invalid values (e.g., negative values for parameters that do not support them).
• Solution: Verify that all values in the schedule lists are within the acceptable range for each parameter.