diff --git a/utils/tuning/rkisp1.py b/utils/tuning/rkisp1.py
index 9f40fd8bd63b..207b717a029c 100755
--- a/utils/tuning/rkisp1.py
+++ b/utils/tuning/rkisp1.py
@@ -6,18 +6,19 @@
 #
 # Tuning script for rkisp1
 
-import coloredlogs
 import logging
 import sys
 
+import coloredlogs
 import libtuning as lt
-from libtuning.parsers import YamlParser
 from libtuning.generators import YamlOutput
-from libtuning.modules.lsc import LSCRkISP1
 from libtuning.modules.agc import AGCRkISP1
 from libtuning.modules.awb import AWBRkISP1
 from libtuning.modules.ccm import CCMRkISP1
+from libtuning.modules.lsc import LSCRkISP1
+from libtuning.modules.lux import LuxRkISP1
 from libtuning.modules.static import StaticModule
+from libtuning.parsers import YamlParser
 
 coloredlogs.install(level=logging.INFO, fmt='%(name)s %(levelname)s %(message)s')
 
@@ -45,12 +46,15 @@ lsc = LSCRkISP1(debug=[lt.Debug.Plot],
                 # This is the function that will be used to smooth the color ratio
                 # values.  This can also be a custom function.
                 smoothing_function=lt.smoothing.MedianBlur(3),)
+lux = LuxRkISP1(debug=[lt.Debug.Plot])
 
 tuner = lt.Tuner('RkISP1')
-tuner.add([agc, awb, blc, ccm, color_processing, filter, gamma_out, lsc])
+tuner.add([agc, awb, blc, ccm, color_processing, filter, gamma_out, lsc, lux])
 tuner.set_input_parser(YamlParser())
 tuner.set_output_formatter(YamlOutput())
-tuner.set_output_order([agc, awb, blc, ccm, color_processing,
+
+# Bayesian AWB uses the lux value, so insert the lux algorithm before AWB.
+tuner.set_output_order([agc, lux, awb, blc, ccm, color_processing,
                         filter, gamma_out, lsc])
 
 if __name__ == '__main__':