Token
a6d5adbbdf412d44621cdcdb5158b15d1081a0f682d45359746fe274ebc431df
ID
a6d5adbbdf412d44621cdcdb5158b15d1081a0f682d45359746fe274ebc431df
Name
Pretty Woman
Emission amount
1
Decimals
0
Description
Neural Network art image generated by AI
Words used in Clip description "Pretty Woman"
original 2nd piece
No image base created from raw text via Clip+GauGAN
Iterations: 250
Gpu used 3080TI
Time: 1hr
Accuracy to clip description text "pretty woman" certantity :97.7%
Filter style #pixelart
Artist address: 9hq6vnN36GibhacQ76gyTcxkKJyPjhCgk8F9cAJNnvZMNqHE6wC
Type
EIP-004
Issuer Box
{ "boxId": "a6d5adbbdf412d44621cdcdb5158b15d1081a0f682d45359746fe274ebc431df", "transactionId": "df75dc667b42a6f21a6b357d05883438abbf5fc96f2e7c5a6b5a7c22b9ff1f9f", "blockId": "20c7d914ee0fec2ee63147b6912b8710eda1de0013e917f361f32931ee4b32da", "value": 2000000, "index": 0, "globalIndex": 15907900, "creationHeight": 734975, "settlementHeight": 734977, "ergoTree": "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", "ergoTreeConstants": "0: 0\n1: 0\n2: 0\n3: 0\n4: 2\n5: 1\n6: 1000000\n7: Coll(0,8,-51,3,-98,15,-100,38,6,-65,-32,123,-105,61,94,-8,-120,21,92,-38,-7,-25,97,104,-106,-1,50,63,-75,-84,-85,-44,-46,86,-38,113)\n8: Coll(1,1)\n9: Coll(-15,44,104,-67,-28,-87,68,110,-15,-22,89,110,-80,-34,116,-3,-57,46,60,-89,103,-50,24,49,-76,-43,-21,56,15,-114,-19,18)\n10: 0\n11: 4000000\n12: Coll(0,8,-51,3,-98,15,-100,38,6,-65,-32,123,-105,61,94,-8,-120,21,92,-38,-7,-25,97,104,-106,-1,50,63,-75,-84,-85,-44,-46,86,-38,113)\n13: 1650787777071", "ergoTreeScript": "{\n val box1 = OUTPUTS(placeholder[Int](0))\n val l2 = box1.value\n val coll3 = INPUTS(placeholder[Int](1)).id\n val tuple4 = box1.tokens.getOrElse(placeholder[Int](2), (coll3, placeholder[Long](3)))\n sigmaProp(\n (\n (OUTPUTS.size == placeholder[Int](4)) && (\n (\n (\n (\n (((coll3 == tuple4._1) && (tuple4._2 == placeholder[Long](5))) && (l2 == placeholder[Long](6))) && (\n box1.propositionBytes == placeholder[Coll[Byte]](7)\n )\n ) && (box1.R7[Coll[Byte]].get == placeholder[Coll[Byte]](8))\n ) && (box1.R8[Coll[Byte]].get == placeholder[Coll[Byte]](9))\n ) || (\n (l2 >= INPUTS.fold(placeholder[Long](10), {(tuple5: (Long, Box)) => tuple5._1 + tuple5._2.value }) - placeholder[Long](11)) && (\n box1.propositionBytes == placeholder[Coll[Byte]](12)\n )\n )\n )\n ) && (HEIGHT.toLong < placeholder[Long](13))\n )\n}", "address": "2eR9oDmG9onJa8DfTAoSMZUXWQFD3iMhsXv41qdfTu4jxSs3Eh7oUC8oQeMdFw2pn3ttGSSWN19Qii2WdRAR78pTt6DG6dSDzvBp1yz6HDwpHYBiN9BiGogq9p3caJKY84NMBhyWW17AF2NHjrr1Aph6t2hACM9K6eYvY12V31bCKskXmj77vi8pLyW4BqJDDkTqn6RoWacZBUd49R1CXEMNBJow9VDJPQgpDv7t3diNy7NVyzD7TLdDy2gUcL391sDf9skhK5ct2jvMpsrwGcF4NaMYUX1p1NiGSK3aziDZx3MrbaDs2T4gzqxeNbxsGzEyUNQb9MAcborXCwpZ1Wqi1ga5HY6HAVPWmHZ8NdfeGyzj9eUURqUHTGzmxrA6CdvzH", "assets": [], "additionalRegisters": { "R4": { "serializedValue": "0464", "sigmaType": "SInt", "renderedValue": "50" }, "R5": { "serializedValue": "0e240008cd039e0f9c2606bfe07b973d5ef888155cdaf9e7616896ff323fb5acabd4d256da71", "sigmaType": "Coll[SByte]", "renderedValue": "0008cd039e0f9c2606bfe07b973d5ef888155cdaf9e7616896ff323fb5acabd4d256da71" } }, "spentTransactionId": "a6b90027196ea9daa75f23334b0c44ba9fa41c6b096805f36e2b6469cb4bb981", "mainChain": true }