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Posted

This might work for you:

  1. Start with an original developed image (say, image1.jpg (file type not important)). (If you have a RAW image, Develop it without making any changes.)
  2. Perform the color grade on that image. Do not merge any Adjustment Layers.
  3. Use File > Export LUT which will give you a new LUT adjustment embodying those adjustments.
  4. Import that LUT into the LUT Adjustments.
  5. Apply the imported LUT adjustment to the other images.

Step 5 would be a manual step, but to make it more automated you could create a macro that would apply the LUT adjustment to an image. Then you could use File > New Batch Job to process a set of images and run the macro to apply the LUT adjustment. (You would, of course, need a different LUT adjustment, and a different

-- Walt
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Posted

Dan, I'm importing RAW files, all from same shoot (100 shots for example) in same lighting, and I only want to edit and grade one image and then put the same edits grades into the other 99 shots and output them as JPEG.

Posted

Thanks for confirming that for me!

After importing your first RAW file and making your changes in the Develop Persona, you can save these settings as a Preset which can be applied to other RAW files you open -

image.png

However, this requires each RAW file to be manually opened, the preset applied, developed and then exported.

Using Walts aforementioned method, you can create a LUT file from the first image developed, then create a Macro which applies this LUT automatically.

Now, you can use the Batch Processing function, in conjunction with the macro you've just created to develop, apply the LUT and export to your chosen format for all 100 images.

Please see the below links for more information here:

LUTs - https://affinity.serif.com/tutorials/photo/desktop/video/504433231/

Macros - https://affinity.serif.com/tutorials/photo/desktop/video/309301203/

Batch Processing with Macros - https://player.vimeo.com/video/202893201/ (an older video, but the same steps still apply)

I hope this helps :)

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