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luma = tfm(pp=0, slow=2)
chroma = vinverse().Srestore(omode="PP3", cache=10)
# manual sync: figure out which frame (previous,current aka p,c) of 'chroma' clip is most similar to current frame of 'luma' clip
# 46*log(|x-y|+1) uses the full [0,255]-range and scales little differences better than |x-y|*2
diffp = mt_lutxy(luma,chroma.selectevery(1,-1),"x y - abs 1 + log 46 *")
diffc = mt_lutxy(luma,chroma, "x y - abs 1 + log 46 *")
# average difference between compared frames
mp = mt_lutf(diffp,diffp,"avg",expr="x")
mc = mt_lutf(diffc,diffc,"avg",expr="x")
# build conditional masks based on the caculated comparisons
maskp = mt_lutxy(mp,mc,"x y < 255 0 ?")
# finally merge the luma of the tfm with the chroma of the srestore clip accordingly to the binary mask
MergeChroma(luma,chroma).mt_merge(chroma.selectevery(1,-1),maskp,luma=true,Y=2,U=3,V=3)
try this script, should fix the problem
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