How to Copy Any Photo Colour Grading in Adobe Lightroom 2025,
Therefore, To copy the color grading from any photo in Adobe Lightroom, follow these steps:
Method 1: Using “Match Color” in Lightroom (Best for AI-Powered Matching)
- Open Lightroom Classic and select the photo you want to edit.
- Go to the “Develop” Module.
- Therefore, In the “Edit” panel, scroll down to “Color Grading”.
- In other words, Click on “Reference View” (Shortcut:
Shift + R
). - Therefore, Drag the reference photo into the reference view.
- In other words, Manually adjust the shadows, midtones, and highlights in the Color Grading panel to match the reference image.
Step 2: How to Copy Any Photo Colour Grading in Adobe Lightroom 2025, Copying Settings (Best for Exact Match)
- Edit a Photo with the desired color grading.
- Right-click on the edited photo and select “Develop Settings” > “Copy Settings”.
- Therefore, A pop-up will appear—check only “Color Grading” and “Tone Curve” to avoid copying other adjustments.
- Select the new photo, right-click, and choose “Develop Settings” > “Paste Settings”.
Method 3: Using Presets (Best for Quick Reuse)
- Therefore, After color grading, go to the Presets Panel on the left.
- In other words, Click the “+” button, then select “Create Preset”.
- However, Name your preset and check only color-related settings.
- Therefore, Apply the preset to any future images.
Step 4: How to Copy Any Photo Colour Grading in Adobe Lightroom 2025, Using AI Tools like “Adobe Sensei” (Only in Lightroom Mobile & CC)
- In other words, Open Lightroom CC (or Mobile).
- However, Import both the reference image and your image.
- For instance, Go to “Recommended Presets” under the “Presets” tab—Lightroom’s AI suggests color styles based on the reference.
- Above all, Select the best match and fine-tune.
Would you like help with fine-tuning specific adjustments like Hue, Saturation, and Luminance (HSL)?
Adobe Lightroom is a powerful photo editing and management software used by photographers and designers. It’s great for organizing, enhancing, and batch-editing images with non-destructive adjustments.
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