diff --git a/modules/processing.py b/modules/processing.py
index 49fed0d8d..d27d86e99 100644
--- a/modules/processing.py
+++ b/modules/processing.py
@@ -20,6 +20,7 @@ import modules.shared as shared
 import modules.face_restoration
 import modules.images as images
 import modules.styles
+import logging
 
 
 # some of those options should not be changed at all because they would break the model, so I removed them from options.
@@ -28,11 +29,13 @@ opt_f = 8
 
 
 def setup_color_correction(image):
+    logging.info("Calibrating color correction.")
     correction_target = cv2.cvtColor(np.asarray(image.copy()), cv2.COLOR_RGB2LAB)
     return correction_target
 
 
 def apply_color_correction(correction, image):
+    logging.info("Applying color correction.")
     image = Image.fromarray(cv2.cvtColor(exposure.match_histograms(
         cv2.cvtColor(
             np.asarray(image),
@@ -367,7 +370,7 @@ def process_images(p: StableDiffusionProcessing) -> Processed:
 
                 if p.color_corrections is not None and i < len(p.color_corrections):
                     if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:
-                        images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
+                        images.save_image(image, p.outpath_samples, "", seeds[i], prompts[i], opts.samples_format, info=infotext(n, i), p=p, suffix="-before-color-correction")
                     image = apply_color_correction(p.color_corrections[i], image)
 
                 if p.overlay_images is not None and i < len(p.overlay_images):