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set cut_paste_input [stack 0] version 13.1 v2 Read { inputs 0 file_type exr file "C:/Users/bf0000/Desktop/0510 0460.exr" format "2048 1080 0 0 2048 1080 1 2K_DCP" origset true name Read2 selected true xpos -791 ypos 84 } ColorCorrect { contrast 2.38 gamma 1.4 gain 2.5 name ColorCorrect1 selected true xpos -791 ypos 168 } Reformat { format "4096 2160 0 0 4096 2160 1 4K_DCP" name Reformat1 selected true xpos -791 ypos 224 } push $cut_paste_input Roto { output alpha curves {{{v x3f99999a} {f 0} {n {layer Root {f 2097152} {t x45000000 x44870000} {a pt1x 0 pt1y 0 pt2x 0 pt2y 0 pt3x 0 pt3y 0 pt4x 0 pt4y 0 ptex00 0 ptex01 0 ptex02 0 ptex03 0 ptex10 0 ptex11 0 ptex12 0 ptex13 0 ptex20 0 ptex21 0 ptex22 0 ptex23 0 ptex30 0 ptex31 0 ptex32 0 ptex33 0 ptof1x 0 ptof1y 0 ptof2x 0 ptof2y 0 ptof3x 0 ptof3y 0 ptof4x 0 ptof4y 0 pterr 0 ptrefset 0 ptmot x40800000 ptref 0} {curvegroup BSpline1 512 bspline {{cc {f 8192} {px 1 {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} xc2780000 x44d06000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} x42aa0000 x44ce4000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x438a0000 x44cd8000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x4400c000 x44cd2000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} x443b8000 x44cd8000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x44710000 x44ce6000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x4498a000 x44cec000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x45040000 x44cf0000} {{a t {{1 x3f804189}} rp {{1 1}} te {{1 x40800000}}} x45254000 x44d54000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x452e2000 x44d5a000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x45336000 x44e58000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} x453c2000 x44e70000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} x4546a000 x44d68000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x45534000 x44d14000} {{a t {{1 x3f804189}} rp {{1 1}} te {{1 x40800000}}} x4565b000 x44d44000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x4572e000 x44d80000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x45844000 x44d48000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x45882000 x450b8000} {{a t {{1 1}} rp {{1 1}} te {{1 x40800000}}} x4556e000 x45130000} {{a t {{1 x3f75c28f}} rp {{1 1}} te {{1 x40800000}}} x43060000 x45106000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} xc39a0000 x4501a000} {{a t {{1 x3f808312}} rp {{1 1}} te {{1 x40800000}}} xc3360000 x44ee4000}}} idem} {tx 1 x44f41746 x44e18ba3} {a osw x41200000 osf 0 str 1 spx x45000000 spy x44870000 sb 1 tt x40c00000}}}}}} toolbox {selectAll { { selectAll str 1 ssx 1 ssy 1 sf 1 } { createBezier str 1 ssx 1 ssy 1 sf 1 sb 1 tt 4 } { createBezierCusped str 1 ssx 1 ssy 1 sf 1 sb 1 } { createBSpline str 1 ssx 1 ssy 1 sf 1 sb 1 tt 6 } { createEllipse str 1 ssx 1 ssy 1 sf 1 sb 1 } { createRectangle str 1 ssx 1 ssy 1 sf 1 sb 1 } { createRectangleCusped str 1 ssx 1 ssy 1 sf 1 sb 1 } { brush str 1 ssx 1 ssy 1 sf 1 sb 1 } { eraser src 2 str 1 ssx 1 ssy 1 sf 1 sb 1 } { clone src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } { reveal src 3 str 1 ssx 1 ssy 1 sf 1 sb 1 } { dodge src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } { burn src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } { blur src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } { sharpen src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } { smear src 1 str 1 ssx 1 ssy 1 sf 1 sb 1 } } } toolbar_brush_hardness 0.200000003 toolbar_source_transform_scale {1 1} toolbar_source_transform_center {2048 1080} colorOverlay {0 0 0 0} lifetime_type "all frames" motionblur_shutter_offset_type centred source_black_outside true name Roto1 selected true xpos -1554 ypos 75 } Read { inputs 0 file_type exr file C:/Users/bf0000/Desktop/ABR_EP3F2_0510_RWG00001.exr format "4096 2160 0 0 4096 2160 1 4K_DCP" origset true colorspace Log3G10 name Read3 selected true xpos -1217 ypos -685 } OFXcom.absoft.neatvideo4_v4 { DNP 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 NFP 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ParamsHash1 -269000074 ParamsHash2 260 ParamsHash3 0 name "Reduce Noise v4_2" selected true xpos -1217 ypos -535 } Dot { name Dot3 selected true xpos -1183 ypos -489 } set Nae77dc00 [stack 0] Dot { name Dot4 selected true xpos -908 ypos -489 } set Nae77d800 [stack 0] OFXuk.co.thefoundry.keylight.keylight_v201 { show "Final Result" unPreMultiply false screenColour {0.05750145018 0.09363752604 0.05031968653} screenGain 1 screenBalance 0.5 alphaBias {0.5 0.5 0.5} despillBias {0.5 0.5 0.5} gangBiases true preBlur 0 "Screen Matte" 1 screenClipMin 0.17 screenClipMax 0.305 screenClipRollback 0 screenGrowShrink 0 screenSoftness 0 screenDespotBlack 0 screenDespotWhite 0 screenReplaceMethod "Soft Colour" screenReplaceColour {0.5 0.5 0.5} Tuning 0 midPoint 0.5 lowGain 1 midGain 1 highGain 1 "Inside Mask" 0 sourceAlphaHandling Ignore insideReplaceMethod "Soft Colour" insideReplaceColour {0.5 0.5 0.5} Crops 0 SourceXMethod Colour SourceYMethod Colour SourceEdgeColour 0 SourceCropL 0 SourceCropR 1 SourceCropB 0 SourceCropT 1 balanceSet false insideComponent None outsideComponent None cacheBreaker true name Keylight3 selected true xpos -1429 ypos -40 } FilterErode { size 6 name FilterErode1 selected true xpos -1429 ypos -16 } FilterErode { size -6 name FilterErode2 selected true xpos -1429 ypos 20 } Merge2 { inputs 2 operation stencil name Merge4 selected true xpos -1429 ypos 81 } Invert { name Invert1 selected true xpos -1429 ypos 105 } FilterErode { size 6 name FilterErode3 selected true xpos -1429 ypos 141 } Blur { size 9.4 name Blur1 selected true xpos -1429 ypos 182 } push $Nae77d800 Dot { name Dot5 selected true xpos -453 ypos -489 } Dot { name Dot6 selected true xpos -453 ypos -379 } Grade { whitepoint {0.395286411 0.3730274439 0.297657311 1} multiply {0.9833333492 1.133333325 0.8833333254 1} gamma 0.8 name Grade3 selected true xpos -597 ypos -382 } Dot { name Dot1 selected true xpos -563 ypos -326 } set Nae77e400 [stack 0] IBKColourV3 { name IBKColourV3_8 selected true xpos -740 ypos -329 screen_type green Size 1 erode 10 multi 1 } IBKColourV3 { name IBKColourV3_9 selected true xpos -740 ypos -305 screen_type green Size 1 erode 1 multi 1 } IBKColourV3 { name IBKColourV3_10 selected true xpos -740 ypos -281 screen_type green Size 1 erode 1 multi 5 } IBKColourV3 { name IBKColourV3_11 selected true xpos -740 ypos -257 screen_type green Size 1 erode 1 multi 10 } IBKColourV3 { name IBKColourV3_12 selected true xpos -740 ypos -233 screen_type green Size 1 erode 1 multi 50 } IBKColourV3 { name IBKColourV3_13 selected true xpos -740 ypos -209 screen_type green Size 1 erode 1 multi 100 } IBKColourV3 { name IBKColourV3_14 selected true xpos -740 ypos -185 screen_type green Size 1 erode 1 multi 150 } push $Nae77e400 Dot { name Dot2 selected true xpos -563 ypos -116 } IBKGizmoV3 { inputs 2 name IBKGizmoV3_3 xpos -740 ypos -119 st C-green } Grade { channels rgba gamma 0.9 name Grade4 selected true xpos -740 ypos -79 } push $Nae77d800 OFXuk.co.thefoundry.keylight.keylight_v201 { show "Final Result" unPreMultiply false screenColour {0.05750145018 0.09363752604 0.05031968653} screenGain 1 screenBalance 0.5 alphaBias {0.5 0.5 0.5} despillBias {0.5 0.5 0.5} gangBiases true preBlur 0 "Screen Matte" 1 screenClipMin 0.17 screenClipMax 0.58 screenClipRollback 0 screenGrowShrink 0 screenSoftness 0 screenDespotBlack 0 screenDespotWhite 0 screenReplaceMethod "Soft Colour" screenReplaceColour {0.5 0.5 0.5} Tuning 0 midPoint 0.5 lowGain 1 midGain 1 highGain 1 "Inside Mask" 0 sourceAlphaHandling Ignore insideReplaceMethod "Soft Colour" insideReplaceColour {0.5 0.5 0.5} Crops 0 SourceXMethod Colour SourceYMethod Colour SourceEdgeColour 0 SourceCropL 0 SourceCropR 1 SourceCropB 0 SourceCropT 1 balanceSet false insideComponent None outsideComponent None cacheBreaker true name Keylight2 selected true xpos -942 ypos -384 } FilterErode { size 5 name FilterErode4 selected true xpos -942 ypos -360 } Blur { size 5 name Blur2 selected true xpos -942 ypos -324 } ChannelMerge { inputs 2 name ChannelMerge1 selected true xpos -942 ypos -91 } EdgeBlur { name EdgeBlur3 selected true xpos -942 ypos -9 } push $Nae77dc00 Copy { inputs 2 from0 rgba.alpha to0 rgba.alpha name Copy2 selected true xpos -1217 ypos 32 } set Naab9f800 [stack 0] Group { name DespillToColor1 tile_color 0x475247ff note_font "Bitstream Vera Sans Bold" note_font_color 0xffffffff selected true xpos -1082 ypos 89 addUserKnob {20 User l main} addUserKnob {68 sto l "screen type" t "- auto - The screen type will be controlled by \n the screen color:\n\n g>b : green despill\n b>g : blue despill\n\n- 'blue' and 'green' act as an override so you can pick a blue-ish screen color but still despill green tones and vice versa.\n" M {auto green blue "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" "" ""}} addUserKnob {18 sc l "screen color"} sc {0.09678465873 0.1657129377 0.08461047709} addUserKnob {6 sc_panelDropped l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {6 sc_panelDropped_1 l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {6 sc_panelDropped_1_1 l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {18 tc l "target color"} tc {0.02107642777 0.02054497227 0.01369239204} addUserKnob {6 tc_panelDropped l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {6 tc_panelDropped_1 l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {6 tc_panelDropped_1_1 l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {7 balance t "- determines which colors get affected more by the despill operation. \nlower : red\nhigher : green / blue" R 0 2} balance 1 addUserKnob {7 gain t "Increasing gain will affect a wider range of colors." R 0.5 3.5} gain 1 addUserKnob {26 ""} addUserKnob {6 enableErode l "enable erode" +STARTLINE} addUserKnob {6 spillmatte l "spillmatte output" t "- spillmatte output to alpha channel.\nThis channel is normalised, so the picked color has an alpha value of 1. \nIn ordner not to clamp values above 1 you might choose to grade this mask down a bit." -STARTLINE} addUserKnob {7 erode t "For blurry edges, eroding the despill matte is an alternative to increasing the gain." R 0.1 50} erode 1 addUserKnob {7 erodeMix l mix} erodeMix 1 addUserKnob {26 ""} addUserKnob {7 falloff t "- controls the gamma on the despill matte." R 0.5 1.5} falloff 1 addUserKnob {26 ""} addUserKnob {41 maskChannelMask l mask -STARTLINE T Merge1.maskChannelMask} addUserKnob {41 inject -STARTLINE T Merge1.inject} addUserKnob {41 invert_mask l invert -STARTLINE T Merge1.invert_mask} addUserKnob {41 fringe -STARTLINE T Merge1.fringe} addUserKnob {41 unpremult l "(un)premult by" T despillGreen.unpremult} addUserKnob {7 mix} mix 1 addUserKnob {26 ""} addUserKnob {20 info l "info / advanced" n 1} info 0 addUserKnob {26 jm l "" +STARTLINE T "Despill to Color by Johannes Masanz\nVersion: 4.1"} addUserKnob {26 ""} addUserKnob {7 ir l "increase range" t "compensates for screen values higher than 1" R 0 100} ir 50 addUserKnob {20 endGroup_1 l endGroup n -1} } Input { inputs 0 name mask xpos -234 ypos 479 number 1 } set Naab9f400 [stack 0] Input { inputs 0 name source xpos -84 ypos 76 } set Naab9f000 [stack 0] Expression { expr0 r expr1 g expr2 b channel3 alpha expr3 parent.gain<1?min((b-(r*parent.balance+g*(1-(parent.balance-1)))/2),(b*parent.gain-(r*parent.balance+g*(1-(parent.balance-1)))/2)):(b*parent.gain-(r*parent.balance+g*(1-(parent.balance-1)))/2) name ExpBlue xpos 516 ypos 76 } Grade { channels alpha whitepoint {{parent.NoOp1.avb}} name despillWhite1 xpos 516 ypos 102 } set Naab9e800 [stack 0] push $Naab9f000 Expression { expr0 r expr1 g expr2 b channel3 alpha expr3 parent.gain<1?min((g*parent.gain-(r*parent.balance+b*(1-(parent.balance-1)))/2),(g-(r*parent.balance+b*(1-(parent.balance-1)))/2)):(g*parent.gain-(r*parent.balance+b*(1-(parent.balance-1)))/2) name ExpGreen xpos 402 ypos 76 } Grade { channels alpha whitepoint {{parent.NoOp1.avg}} name despillWhite xpos 402 ypos 102 } set Naab9e000 [stack 0] push $Naab9e000 push $Naab9e800 Switch { inputs 2 which {{parent.sc.b>parent.sc.g?0:1}} name Switch2 xpos 456 ypos 149 } Switch { inputs 3 which {{parent.sto}} name Switch3 xpos 456 ypos 175 } FilterErode { size {{-parent.erode}} filter gaussian mix {{parent.erodeMix}} name despillGaussian xpos 456 ypos 219 disable {{1-parent.enableErode}} } set Naab9d400 [stack 0] Grade { channels alpha gamma {{parent.falloff}} black_clamp false name falloff xpos 346 ypos 264 } set Naab9d000 [stack 0] push $Naab9d400 ChannelMerge { inputs 2 operation max name ChannelMerge1 xpos 456 ypos 257 } push $Naab9d000 push $Naab9d400 ChannelMerge { inputs 2 operation min name ChannelMerge2 xpos 563 ypos 257 disable {{parent.falloff==1?1:0}} } Switch { inputs 2 which {{parent.falloff>1?1:0}} name Switch1 xpos 456 ypos 307 } set Naab9c400 [stack 0] push $Naab9f400 push $Naab9c400 Grade { channels alpha whitepoint {{parent.NoOp1.avb}} white {{parent.ir+1}} reverse true name Grade2 xpos 516 ypos 347 } push $Naab9f000 Grade { inputs 1+1 channels rgba add {{parent.tc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))-parent.sc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))} {parent.tc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))-parent.sc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))} {parent.tc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))-parent.sc*(clamp(1/clamp(parent.NoOp1.avb/(parent.ir+1)),0,1000000))} {curve}} black_clamp false unpremult {{{parent.despillGreen.unpremult}}} name despillBlue xpos 516 ypos 383 } set Nad5a7800 [stack 0] push $Naab9c400 Grade { channels alpha whitepoint {{parent.NoOp1.avg}} white {{parent.ir+1}} reverse true name Grade4 xpos 402 ypos 348 } push $Naab9f000 Grade { inputs 1+1 channels rgba add {{parent.tc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))-parent.sc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))} {parent.tc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))-parent.sc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))} {parent.tc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))-parent.sc*(clamp(1/clamp(parent.NoOp1.avg/(parent.ir+1)),0,inf))} {curve}} black_clamp false unpremult -rgba.alpha name despillGreen xpos 402 ypos 383 } set Nad5a7000 [stack 0] push $Nad5a7000 push $Nad5a7800 Switch { inputs 2 which {{parent.sc.b>parent.sc.g?0:1}} name Switch4 xpos 456 ypos 453 } Switch { inputs 3 which {{parent.sto}} name Switch5 xpos 456 ypos 479 } push $Naab9f000 Merge2 { inputs 2+1 operation copy bbox B maskChannelInput -rgba.alpha mix {{parent.mix}} name Merge1 xpos -84 ypos 479 } Shuffle { alpha black name Shuffle1 xpos -84 ypos 505 disable {{1-spillmatte}} } Copy { inputs 2+1 from0 rgba.alpha to0 rgba.alpha bbox B name Copy2 xpos -84 ypos 545 disable {{1-spillmatte}} } Output { name Output1 xpos -84 ypos 599 } NoOp { inputs 0 name NoOp1 xpos 181 ypos 160 addUserKnob {20 User} addUserKnob {7 avg l alphavalueGreen} avg {{parent.sc.g*clamp(1,parent.gain,inf)-(parent.sc.b*(1-(parent.balance-1))+parent.sc.r*parent.balance)/2}} addUserKnob {7 avb l alphavalueBlue} avb {{parent.sc.b*clamp(1,parent.gain,inf)-(parent.sc.g*(1-(parent.balance-1))+parent.sc.r*parent.balance)/2}} } end_group push $Naab9f800 Group { name PxF_KillSpill help "Remove red/green/blue spill." tile_color 0x733520ff selected true xpos -1217 ypos 91 addUserKnob {20 User} addUserKnob {4 back_color l ScreenColor t "Which type of spill to remove." M {red green blue "" ""}} back_color green addUserKnob {7 supp l Suppression t "Bias the mix of channels used to cap the 'spill' channel.\nFor example when removing 'green spill':\n0 = green channel is capped by the red channel.\n\n0.5 = green channel is capped by half-mix of red and blue channels.\n\n1 = green channel is capped by the blue channel." R 0 2} supp 0.5 addUserKnob {7 masterMult l Limiter t "Gain applied to the 'cap' channel to make the suppression more or less aggressive." R 0 10} masterMult 1 addUserKnob {18 SpillTweak t "Adjust the luminance and color of the spill areas." R 0 10} addUserKnob {6 SpillTweak_panelDropped l "panel dropped state" -STARTLINE +HIDDEN} addUserKnob {26 ""} addUserKnob {26 t l "" +STARTLINE T "PxF_KillSpill 2.5.2 - (c) 2011 - Xavier Bourque - www.pixelfudger.com"} } Input { inputs 0 name mask xpos -228 ypos 853 number 1 } Input { inputs 0 name img xpos -496 ypos -217 } Dot { name Dot3 xpos -462 ypos -140 } set Nb2a5f800 [stack 0] Dot { name Dot2 xpos -689 ypos 208 } Dot { name Dot4 xpos -729 ypos 756 } push $Nb2a5f800 Dot { name Dot1 xpos -156 ypos 744 } push $Nb2a5f800 push $Nb2a5f800 Shuffle { red blue green blue alpha black name Blue xpos 187 ypos 28 } set Nb2a5e800 [stack 0] push $Nb2a5f800 Shuffle { red green blue green alpha black name Green xpos 76 ypos 26 } set Nb2a5e400 [stack 0] push $Nb2a5f800 Shuffle { green red blue red alpha black name Red xpos -17 ypos 27 } set Nb2a5e000 [stack 0] Switch { inputs 3 which {{back_color i}} name High xpos -17 ypos 132 } push $Nb2a5e400 push $Nb2a5e000 Switch { inputs 2 which {{"back_color == 0 ? 1 : back_color == 1 ? 0 : 0" i}} name LowA xpos 76 ypos 132 } Multiply { value {{"1 - supp" i}} name Multiply1 xpos 76 ypos 190 } push $Nb2a5e800 push $Nb2a5e400 push 0 Switch { inputs 3 which {{"back_color == 0 ? 2 : back_color == 1 ? 2 : 1" i}} name LowB xpos 187 ypos 140 } Multiply { value {{supp i}} name Multiply2 xpos 187 ypos 187 } Merge2 { inputs 2 operation plus name Merge1 xpos 138 ypos 299 } Multiply { value {{masterMult i}} name Multiply3 xpos 138 ypos 327 } Merge2 { inputs 2 operation min name Merge10 xpos -17 ypos 371 } set Nae787c00 [stack 0] ShuffleCopy { inputs 2 red red green green name ShuffleBlue xpos -426 ypos 371 } push $Nb2a5f800 push $Nae787c00 ShuffleCopy { inputs 2 red red blue blue name ShuffleGreen xpos -526 ypos 369 } push $Nb2a5f800 push $Nae787c00 ShuffleCopy { inputs 2 green green blue blue name ShuffleRed xpos -630 ypos 369 } Switch { inputs 3 which {{back_color i}} name Switch1 xpos -526 ypos 424 } set Nae786c00 [stack 0] push $Nb2a5f800 push $Nae786c00 Merge2 { inputs 2 operation minus name Merge9 xpos -338 ypos 547 } Saturation { saturation 0 name Saturation1 xpos -338 ypos 586 } ColorCorrect { gain {{SpillTweak.r i} {SpillTweak.g i} {SpillTweak.b i} {1 i}} name ColorCorrect1 xpos -338 ypos 655 } Merge2 { inputs 2 operation plus name Merge11 xpos -526 ypos 655 } ShuffleCopy { inputs 2 name ShuffleCopy1 xpos -526 ypos 740 } Keymix { inputs 3 invertMask true bbox A name Keymix1 selected true xpos -526 ypos 875 disable {{"\[exists parent.input1] ? 0 : 1" i}} } set Nae785400 [stack 0] Viewer { input_process false name Viewer1 xpos 95 ypos 454 } push $Nae785400 Output { name Output1 xpos -526 ypos 980 } end_group Switch { inputs 2 which 1 name Switch1 selected true xpos -1217 ypos 130 } Grade { inputs 1+1 white 0.6 name Grade5 selected true xpos -1217 ypos 170 } Premult { name Premult2 selected true xpos -1217 ypos 202 } Merge2 { inputs 2 operation under name Merge3 selected true xpos -1217 ypos 244 }