diff --git a/merger_FITS.py b/merger_FITS.py
index 389005b..dbd0c97 100644
--- a/merger_FITS.py
+++ b/merger_FITS.py
@@ -268,13 +268,14 @@ def hsl_to_rgb(img):
 
 
 def generate_composite(work_queue, result_queue):
+    lowpriority()
     image_names = ["094A", "131A", "171A", "195A", "284A", "304A"]
     cmaps =[palettable.cmocean.sequential.Ice_5.mpl_colormap, 
             palettable.cmocean.sequential.Ice_20.mpl_colormap, 
             palettable.cmocean.sequential.Turbid_5_r.mpl_colormap, 
             palettable.cmocean.sequential.Turbid_20_r.mpl_colormap, 
-            plt.cm.get_cmap('gist_heat'), 
-            plt.cm.get_cmap('afmhot')]
+            plt.colormaps.get_cmap('gist_heat'), 
+            plt.colormaps.get_cmap('afmhot')]
     # Modify colormaps to start at perfect black (when they otherwise start at very dark colors)
     for cmi in range(0,4):
         for c in ['red','green','blue']:
@@ -423,11 +424,11 @@ if __name__ == "__main__":
     processed_images_dirs = [r"..\composite\goes16", r"..\composite\goes18"]
 
     regex_filename = r"dr_suvi-l2-ci\d{3}_g(16|18)_s\S*\.fits"
-    nworkers = 14
+    nworkers = 20
     
     # Testing
-    # stored_fits_dirs = [r"C:\NOAA_SOLAR_IMAGES\fits_test_2024"]
-    # processed_images_dirs = [r"C:\NOAA_SOLAR_IMAGES\composite"]
+    # stored_fits_dirs = [r"..\fits_test_2024"]
+    # processed_images_dirs = [r"..\composite"]
 
     work_queue = Queue(maxsize = nworkers)
     result_queue = Queue()