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+# Background Power option
+
+Allows you to train the model to include the background, which may help with areas around the mask.
+Unlike **Background Style Power**, this does not use any additional VRAM, and does not require lowering the batch size.
+
+- [DESCRIPTION](#description)
+- [USAGE](#usage)
+- [DIFFERENCE WITH BACKGROUND STYLE POWER](#difference-with-background-style-power)
+
+*Examples trained with background power `0.3`:*
+
+![](example.jpeg)![](example2.jpeg)
+
+## DESCRIPTION
+
+Applies the same loss calculation used for the area *inside* the mask, to the area *outside* the mask, multiplied with
+the chosen background power value.
+
+E.g. (simplified): Source Loss = Masked area image difference + Background Power * Non-masked area image difference
+
+## USAGE
+
+`[0.0] Background power ( 0.0..1.0 ?:help ) : 0.3`
+
+## DIFFERENCE WITH BACKGROUND STYLE POWER
+
+**Background Style Power** applies a loss to the source by comparing the background of the dest to that of the
+predicted src/dest (5th column). This operation requires additional VRAM, due to the face that the predicted src/dest
+outputs are not normally used in training (other then being viewable in the preview window).
+
+**Background Power** does *not* use the src/dest images whatsoever, instead comparing the background of the predicted
+source to that of the original source, and the same for the background of the dest images.
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