“Super Zoom” Neural filter does not work with Batch Processing

[Professor Panda]

The Super Zoom neural filter is great! However, it doesn't seem to be compatible with a batch processing workflow because its output is limited to:

- New Layer: Even using the New Layer option, the enlarged layer is added over the original, but the document canvas size isn't scaled to match it. 

- New document: Creates an "Untitled" document, which renders batch processing useless if I wanted to retain the original filenames. 

I really just want to be able to run Super Zoom on a folder of images, and the output them into another folder. If there is a way to add an option in which Super Zoom can be applied to the original document, that would be wonderful. 

The problem with this is that neither of these options work with batch processing of images for Super Zoom. 

[volkaniras10]

hello, have you solved this problem? Or is there another way?

[SethsterB]

I found a workaround that works for me-- it does not save to a new folder but it does fix problems I've had with SuperZoom+Automation.

I have a folder of PSDs exported from Low Res jpgs in Lightroom... in my action, I set SuperZoom to 3x and to output to a new layer (NOT new document). Then Canvas Size->Center Anchor Point-> 300% both sides. Now my files come out with the original as the base layer and the upscaled as layer 2 with no crop. Hope this helps!

[Stephen Marsh]

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- New Layer: Even using the New Layer option, the enlarged layer is added over the original, but the document canvas size isn't scaled to match it. 

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Image > Reveall All should automatically resize the canvas to fit the layer content.