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nkZZYdPBexhKpVcRTslWTK1cy7LHOFlE/VsKMzVWkyOKTRMNlKtfpXBO6F4z/dk4Zi/7SLEKf2RgxvYUucyjTFa5qahXUurBsEk57LTA+R2YzRv8FmPWMszcPT6XuVeWXm3Slsp69mgNAMCjHr8Fs3pfDa9fB2byYtVd4PfShpvgN4ak28+e5DWdtR2zu/s83i2Y0S8RlzmVSjIO5PTvlXT1MaeeOSpQevVezHK6oMakNmQUvQxcdoIhiZ7L0RZJuurAYRfdes+MKGZ9auZEBeAMI6Pi49ymRha7jwMXG3KuPerIu9a2M3RBtvPOqhF7MKNbwm5TIgvfUjglzZJO25Ni6JJGpI1m1jzVbcK6rAUeDnmUyTCuPTWFLsowo9ltxG2CfbJ2BDgwoFcGvXNYg5tkuD4V3NbXKqu7kqe8xiTgXyvvY7mqrcx11F9kxcfwYFCvjM8qRsZy1Tce1yHvyjLOtFDeYBIaR5Z8znJT6lJw32uYJHzIAgZ1SohO8E7pzE1dg1zoIEPWv1QL8idqL3lqcdW7LCd973WhioSsPaUWEF5vj14bUMZ15CLjEnBhX7usvgOs4OCYLXxVA+9bLAd1VbuRukoWvVpAeYzaqvcDDNyfg+Z63Ig8ySTh15oVBBba6hoMoDxo5JzkmeDKRxiymgcIwJAWO8ZNCkBwYc7ZVuxOZXFZ+jkicFrcBq4PAsCw5hzDHlHcybNLFr6oiSh/NmxEJwEAuTKRWyKDwZ3JP6XtrBUBzwdMjL2kAYD2EnUd5gT7QnMpOMuQlbhQCAIzmRC2DAYACM51G4ZORg8Ft67okYWfBoSgeIEY/bMGAFC10V0YOvqt17W0ldKapohB2XIhbBltgpGNbsLQ0ehR4N73UlnGnaoYVK4Wws+9Jpja5B4Mnf3W62JDorJw4wAbULFKKHkxMcHh+9yCOdR7NLi4Z6W05FWKDShfyASwZTgHDtrhDgydZR9pbgY3MVm4foAdKPrIEMAlIQ4MXcJcgKHDnWPB1Wui0vQbPXbAe3efAPuHxoGSj/Xsc5r+SXE3dYU0bJhgC8gxe60wOZ1wQPt9u8ttLAWXv8CQlvpzwBZA1c/MAiNnEQ7AoMXUzRIXgtuXNknDllMkgPfmiAV2nKPwwH9Xq3uxzz2uR15h0tjM/hIAhsw3eBi5UuMBGTUv6VZ7BoL7j4tKw9iNmgzQzm3jYfLRMA/Ac+IK3ZX0yyEHarPl4Y5jpQCUv5HgIP1psAWA74JlSfdhr2q5AE6My2OLBskBMn6+bkJsPlm1APCetCjGXGZVCeTE4Ap5mHohKAdAOeRH3YSJ9/tZAWhTZnQYbtJ1JOTIS1PyMHKzKglAPWJ+AhGRdVzhtwIgwdO+69DdQr9VyRVFmx3AltOILABlxMvtBiIa2y/xWwGAUnzAMz0JN2CveiFnXq07wDYer0kDAP9p83sMhsbeGyoUK3Px5TT72HdByJ1FKxxAo+3NWiIPAAKnz++hjMZmHVOiCMBQln2LKiGXnpFwgDJj74MVTgCAesDMPkaN2OozQorFAJp1O4ZATvUucIAxxpJb/j3oCACQ8Iib5kRTicYAr8rItrZjIcceH5WHSClj8fppfme4xFdWAvzibOs+l+Qaz5fMAaRJg6G+5TyvY8KBLOu5iEDOHbrHCaSRGEU0dlxRTOxc+d5BxV45nuzqPJdA7iV36fZihhWySGsCEWnbi4NVMRi/Mtb96Yn9g6odUptVu08mkItDy2ztfXK+YYWYWLQ2gYgsWX9xqSICELi/nVJm7HzqmIGlQZ/P6w9WHPtKQwKzeNNkArn5pB4bv15dNXQxFUD9zSt+YYiIrG/+wV4RAOIZvrCXomuuroNcrb5MhdadHCZk7DoRpB+efHUHcmnvO5PCqpVZKTvijQ6DuQCbVw25u7xegC07qiwEQCY2iCDbekjZA40Gcmm8/t/LPKqVWQmW1Q4/4+mV0XgsamRL6s0iyOXHd1sYay4bfP50HwAcsE0Esfu0qvBxn3ebzDS+741DqsMa4VkSxTvsdz9lSdctXsjpypMpjrHtyX97Oxm/3gMA4zcJYeLZgYpSdutmg8NlRnTzIxMri4IBn8/r9QZCJRUHtmJ2sg1HKpDjwwsYItLWma8uTSHuulAFgCErhJCtHa0CKGPf6WYWooxhdhsf9YfcP3gXotG1aOYuioi47XQVAPovYyKIXbcFAQD85yxN2Mr2ztt8kA+e35Ha8Ut9F0PuhrM0ACiekRJCuu44DcyBk75rN3jpdDrb6Pd1BPJC7YkV3+2MofWv01QA0B6ICiEmPh5KgKsMerghydA6nU6ns2T/dX7IF8PT5/eh6K/nagBATmoSQ2x/qB/H7B31UH1vipmyNv5uLeSRgVdSQrjzch8AwPBfmBiypjv6E55ZLTnk0V+jKeYMlWasOk6FvLJ6rxh23BwGACj5MCGGyHbdNYBYcRUtWHPSy/viBmUsYY/pOyTRhiv9kG8e3CyG8WerAADUc/bZQGRtz9d5hKyJovnqRJihxyK7Z5x+ZEKGseOWUshDJzWJIf1qJAEAqJ6ZQsS0ACIm1l9Xq9oz+5sTyXhftKtl56IHp5QFPApAYKW9VP0VJZCfTtothmzt8RoAgHbRbrTPeuZfUq0Re6AoqqZ5NIUQsFRuYTbiy84NQN5at0sMse3aMJgHfBa3hYg0tuPt0ytVYkPq8JRIqunlcRrks6O22kD90+EEAEA9crlhz8wSuz+5ui6sqQpxINRrYXTOPbuYQJ47ZIMNxK2X+sAcuORXKoPLjETXzmVP/ebY0bUVUjz1iEjjLV+eU04gD65ewWxg8p3hCpiDl202JAlH/TKUv8cTu186PEAgTy79ImUDsemOGgLm0EVrdE5aXiwgA0KHhFTIp31/6bODdMNlJSYAz7HfdlF0Mi4n/1YubbWDqC+eVmQCUPrdMLeXyUv6CwKAug3MDmJy4dlFJgBQB9Uze+k0J+UrEKDs/aQtxOTCM4uICQL1aDfNNfkLBdAubbaHmFxz8UAVAIZFbAkWEAAjllJ7iKnGv03xhx+n9uLdkd6kwTDmLSAg+FSfBETWtfLTXrSdGEWIWj72modma4UEkKnrqAREpGi/WwMHicebtwH4bm6TIrOFyFJ8/c5ZmOrw5W8AFe8nMqJZsUMUT7DfQffM3xM1EFEflM8BmbjCyICegZrm0RRFUVWPv+qoR5dv74wbDC3p7/M6AM+09YZjmErGY7FYQjcMg1KGtr9Q8jsA7wVbDKec3hXI9wACF69PZVN0cP4H4D15Vi/LGv3MQgBAGfzk7lSWsGdIQQAA4XPndhnZgOu8hQKAUnnp/C4j87qrCgcAUKound2WZJnVM6agAAASmvjQsvakkRHMiHetfy5YaJiV4Oirv9oZSegGk8WoHuvePmP6QK9CoGDVArXH3PTS3I1N3X2xeCKRSCaTiXgs2tHcsOyrp6+dVOFVoDAmiur1B0JFJeVlJUVBv09TFAL/7///uztWUDgg7iEAADB+AJ0BKgABAAE+MRaJQ6IhIRMJrYggAwSzt3C7WG5sXllSM2c/M/jnmKjSetHv9+o/KP/JfPf0aeYB+uXSt8wHm8f7D9mfdl/U/UA/T/rSvQS/k3969Ob9tfhZ/cr9kPaXzYb+j/iP7rvif7B/Wf7N+xX9w9Wfxz6f+6fkn+5f+p+QavBzLfZv8H/cP279pv9x4R/JfUF/F/5p/kvy//vnFQ7d/qPQI94Ppv+m/v37l/5T0uPGb3X+z/+39wD+Z/0H/Gfmr/g///9Zf5b/LeLf9h/1nsBfx/+d/7b/G/uR/mvpo/kv+b/jf9B/6P8H7U/zH/Ff8n/YfvH+//4D/yL+g/6T+9/5j/sf4z///9z7qvX3+2H/l9yL9W/vrMQguIBOcXEAnOLiATcbrMmB+DzsqQzQuLSmZtThXU9DqHzg0Egif3KJRKjXuUeHyGZ0DSeqcvUr2cN+y5VH81zOA2d7pbEAc7uuGdJV+WH7SLTw3NNPPOukP1j8UiuIBNvN4FiLivtlggrPmoKZxNQrvrwGCP48qaExipNrUY2qsWOQxrmit0XWgPZhuWBTw9qNMBNfdKIffLuOGvNcTiFQCxfTfEN/gfDsJ80CEkPPqvJIQ47xg/4yTuXju9b+fz3syZkM7SfCskum3/tOhuVWADpp0U3GgYaqTg5SuZ9/EQRO69er0pHGn38pkSvYuirkZYXpkHSxg/tV9IZEmKZHCBHqTvCD4pbXpTY4lSP6NhHRrU5084oWkXcjDfz8OIOF+uld/pyLnYPGIOPsQqNsikYDZ9c/xlIQxxMcIdtNayefF6fp1xi0rdoc8t2HDHveo7hLIa4/naEl/dnTVBpWJonNMbPvGkiQ8QMut4zkmUW/Zyf7PgGUm7N59LaF7X/vLS8wLzNYVNV+i5jzxSavob61QqZnX/K4YjyM3EFZ7Brdlg5TpRuDPY7Oe1T3TzngJXLBlN6veyxv9REjPEAo2JljN2ERDYgW08eNs0PPnbGeCcl+p5mS6zhqyGdr5qsPMqRyy2mdPQky7Bi2Nr42tRTxW51UZezYQ3KjgGqBDUEvmAsAGQoNpe4p4n72nZNzW6QAbqBS5R4+P0o1x/3FkyRGU17v6aDNkOhW+pNaiP54mCzCmSezKqdlrJDu58R4X8eDRsohRR/9eX/3YF2YyOkISLzGBDOSI9oqv6tKan0zD9HMpgm9/0anPCzT6hVc3ZquwORofyzV875PZ8A12Fvlf/3rymLFvfc6Q55w4UOM4AcM4uGxTsrcaC/CKmM9CsgPJ7egZM1hBuxZm+PF9cPakOk5+R8hmjwXhZ3vf5TTV2DLqv7x/+ypSTytZ+ZnsWlMz2LSmZ7Fo8AA/v/0YHAABUQ98I9lXAWOJe487K59Vl37nKOGxFcKg1eODo2p9JRTCRdT5kQGTsq17MlwrJ61N9vo9TJIGsiUtYmMXjVvj0+ONc0QAAkt4L/XAHow0rorfzkPbMV04UOwrNzbP3c3uN+w8156e895Pb/yF5vFBMJMxZMCshvi+T/owyp0BhlEu45g7lF9p8gr62F/24AXv1e6cW8BCiOZGvpAb0P8++Js5N1326Yv/rP/gNFd4H8p3n9ZjJGL5AeI0xLDvKbXUiRZFLDCjbbjlL/6HPs6xh/yDX/zwFhiEZLk88VH3Ae34gTbHMaSXDtoyB/3gehvb99tm7TlPkACn8l2Z+rTmFPf3vpVljZwf0aYjcRf7Z4H5x/Y6FcAX5y+vxQh/fuPS0YhE4fY+egP/+o0l0jZ1HocvuPygpz92XUItBFAW5DUSS/8qig9TCMqWEUlhJLoF9u0/xXAl3nJ5bzc2Ioq8wZ+2zfhivm8RhGWlVoYBPiJVQQfejaDvv+h3P7oY4G/86pfm6r3M/4yZqwp35wwhB6KSYorIYRVPh/SXDtmeszzUxncbqnzWLUywX65oWjGEldyKuMti7Fhk0goRglWmtJKVu5ThOEMp2h/jjH6++b+9WwKlh/71wd4L7Y+mg6ocAt0CQqad6pEe1kDTLyCSuHGdWsIYeGslLwwrH2v2NY9Q+ZdFuw5weyuxkD1xHfeQifnH8nMadeI0FCWpfZ0K2VThvtqAV4+DJ9HicU081NqBqEbJa5nSKuihIJ3WsGtzDd5cD9MQ5W31Y22ygChWv+rt999gNExAPlBix/nwgAfGOFzbnU+ZqocoZYY6/yDM+ohyiz2O4TQFlXmPHYsnhkOGeomRDQbz6zQ0CJ1zleP7EBYD6V3yQQumsPtM+hK00eSjCujbfPOD+b5+zUQdvrVXIWp+IqgC/IOBIG3uPdrqT9up1JGFhf4CO9VXFYWlwswaDBMJz2ukotdYa0e1e+lPvBW7txqtG1HAg5F69JVs2G6iqVbAgxHyF8Kt7+MYSQWBCr98d2k9dY3yc2H37rLJHeZ3H5B5dHFOi+jmEHD8+WODNFqhsEUue/YyuL0j+6JAIO07eCgnEaMxWm3+P7h3oX4BNdn7aYCY2Y2deN4SrBpWJSDwLj3LplYVAMk2JwdtchSsibJf0wgERywBwsYe71lEptKei+z9Rl9aYriD/waf+40zKDK9gGakaPRyP+VDptRD/ndVCcgy6anG9WJdxH3HEIX8PG7LqjMj8rLpPePntjvRTMtM0klaXdZAqy/+yY3zShPE5Fv8jLkVld9pKZZ/PZ7+S67K4vJn/mcG3PWtIkJzoiITLGG9aTymVIT6R+DXLgtmICeyhxobb9cxsGF9KZq7iVvroKo80zPIlvyU5Xs4sB1L4gzCX9RhSX4O6jFhH9kvJ7TPtzKeCuQmK0qq0Pu1Od/KCVeIU1cWILBu6NT6RIo5a+ylKDPOr+j2rvndKCbEC/QNOCTH72saS505E789CuZd7rwdXSURm0w9nAzPtfihuRIxht8cYgY0ZxVrI95TxihEUzFQP0in/U0+uVAqyv2MHwdP6LNTQPR3NkevHgQk4eZ874ZWxsM/PLCuKmvv4EqmjU8tcfAgDNtDL8fwKgOhFc5B3bq1RUn8EGuGkrfzs4FxN4Q5Bu+N7IJme4apE3Gtmc2NcK8UokTnndwlLB2SQuYb1lW6d56ORFdnrMJy+nymSxiCXBj1VwZpYYXySa42O8DPk3Qwu/BAJbplnUaiv4RCpZbphFGz75Sak/yfyOVR04UPSWgAXNQOZDx9nsCK52cttYHzptIEDkUs80dF8Xah2olW2Ol1+JMMKazXwfh3cNu890doAZIqakx9H/9/CSkJ/3o6i8weviN/8X87dcuyFWco1x4bHC8/y1d9XLL7Ri0ZS7Fz0FTf9W35vfXsl29XKy6NVKEsUe7Eka/EA/FYMrt8A+qvuRwlp8uDFnqAGTfhyNAxmWV38DnpGMPdDeu5qHx1b3DLPuYu3jKTr+QapJ5puHzg+dQcUf0wKoqAuy1fwqUsJSUgWZljlGjL5zsW5Apg7479oFkHqB7PGogIHA1BY/GR6C0qcg1m6LkInYk+G3ITPxMoQXuWeYYIymSd4AYvgW2yG47psWe+Q1cIwC5wtJ2vSlGCxzz3BTqtVmh8BLbwNAQ1H+400rnsxjWpWFnmzAakQm8D0VOy+rwXZ3kKTpAXHc9kys84gbpANNNWmXGMwp/g+dDpX+AQeP47oD/Sd9SapJrZjHO/8x0E6hjiR554okv3VnrKq3KtuOsgP1G09bQsiBhG+3dhv8cyr5EkL6s8MNm3xRAMFw7MV5v3XfzL3aBH2ys/kGnMPnqmH1YMO/YytaJA8BZRk+0TNQziPV7CUsc1ivUY1u6+gBF8czF2k5dw/iwJyr6mvhymN3338yo362vD+l5vo8UiZVtiSaXn2P2dM1UAs+lrbf02qU4+j5twOA+b+eq8TTPWNF0oZacp0eYe1ZYQUVC/baakT2zKRf5ec7bu3c0yLq7qqhOwMA8nYucrVA7ZPiYKzqJUJnkdNgFRcJXbu3W1MpT8NW88eGShI8SXg6AfspVfpeFVpNSsPIXuMhk6s4XFYnjKAJrvnLavq04iaxZwZdcjHwSxm+Ol3KEmaklLDkR10l6NWdOgHALRdcLkRtxyXzFTHZIhDBEzZAzP0ZFoh1QCq7sp39lmX4vI8FVjPy0O0VQDmfZNqTjmeP5SJugiATKYXfu+x3bIiaKmHvvNav5v9L8hM4RUsyaH8ZoDkQD0dzRWhfVkmMzef/6eJY8Z5RgutvZJ5JpV5URwyeztD4UO9TUePmOc3RwXgmoqTTdJcjqxS3AhYNOvQuiGGKluTXOb3L2be/nN0+vLR9otmjyP2VyWd/vdcTjP82+4avrXZUS/b3/xOSC1n5pjIMo7a4W8nU6J8dA0jz2oXfDSPlM6ee/EZq/qbpypBFm9xugJFIuiiQqfltzJyO5QsrDt5bJx0fewCz8opAK3bDsXmfq+kXdTaevTmX8GQYeIegF3Cd+mUgG14QUoceNnaNL3ts0fm59M6Te6usSag3RRDwal1+POAkJtZ54vb+QKDtL1s8rSJ81kRr15xu7LeRTP69cj5AYmA+FfRzI1Em1PN21jhmAf28gIwl5X35MKvkhpKcD9X3CvA196diIezB9Ewa6wICZ6B4jfRBKdXYAByt5/8BfBFwi2Ptf5FGRHY+oexhnRjQnOE5K7itUL0qjfGVlMJl7V/FRdohe9+cu8Vy5xFpjgQ0H/He8QJhmAo7H8/rPPxUz9QaQ927QekewHteDNbW8VOlsmZ0hGWWd54YtN76OObs9aWPEd2lTiK0qHt7Vb8Dx+iGQ22q9MpVCJwFti7bNCuzwWqz51F4FmBCsPgVedfIixlj5WY6oIqdLof3ToDQaNp4wzOUcQsna40ZevueO96oGpbU6ottmRoa5slhJHoE1/PgVVFVZP8cOY/b8fJaN3orOqMj6Mt2+hgNpOgB1E5zJletHwt8dScS2yqWMeIEGBqkB38mT6DI30hFX4yWHz29bkJRS3a7wewrSSzU/ELVusD+eZcyvTgcpSHuSFpiHuYelkP/NA6jIaHAsJxrObMYrfuUTANE591C75zsrLkOENMoj4et7mj5R4hu5CUE1kOH5BnSzd+ecYEWRJDaKHrOGGK+DW88LAyQWitwX75f9OvO9r4UMNedRmKfkdVglcCs36DAQMBvMTUCetpy+o0D0L8OdjeF5/NqPj0FceFCklQd9nmn+r+G8lWFLgaGAbtP60EmQrQkgvyEHesXAZIFDLW7JWnuhG+3cYquTM/AiucpVJWrRoMr6tBzvzBGuVYQeii0mMbIK+8O83xanj+uh9wB6Bmt2n6HvfgQ/rsw55/xrbcRFdhWz9Y+Uil5+C0jzl0ZUuxVemwS0mSezXk9kzWnhU7qOg1oiTdw4fUa33YzfzIiEi0MDmTXOehJqnMj9wN1bCzPu3/7XauWWiqH9YU6G3VcZNIjCx673Icp2y5EWGnNn4syP9vFxq7X3wK7ko35wrjbrneUWMvl9/jQgVsri15d+P3Z6YL+WSwDQvJFIwu4C5uqvPTwnx+8Ex0np+HvY2QKUu1EgZa6fU7q6CbqHvG27jeKVzBwAO5ihaUeZIiRIinTj9mvcPHqyEzJJYXTCUyvhzxZX3v0rj57J3jLV4DZskd5tfJsG2Q2A1l8IKfjSEJHhQlbBpIdErO/8axEmHwXigv2efbOErG9GgxGrR2O7gslMryK1JfKP70g9Eyw8eg3mDE6nPz43Ue5QiO2K6Wzb5I/pENnwGnsFY6bCyM1bDmXDgDn3TGOwrvL5CcqS1zdGfVMv+x5i4BFzkgNWO3NDeONxbH8MclJOpqo6SxHzDr2ApispdIFHz69HZNWXE7bXSSPwxbwCvx+x3i7Y/wjqTRD4n/GL/eyD/UEJZzOitkz0hkdi3EFMEES6YmsDLGOnFFWumqsoQ0nL8MU8j21HChbhuai1gS+Px1wZ+JbfLQXIEdGDEVDkHkxQf7JSTqcKiUYZ+scnyOFeD9cIOZC9GkmM5YZvhv/+XhX/4a/56trpJW3jJXNFPsyT5Fp5/8uEIXVIRRoaKsu7q30PJfNplJYH96mIVJewrKca+j5shCayPXXClIJAdk611jLi9qFKM1WDEm3z62uZLi0rCJ+nlOZC40vJdZWUYn+/5Rz5kNK8i9NGocj9/6kh1EkjFJiiD0poNx/K4ObYw3k5WaXVJ8Rigzp7fiq3Ig7l8tMxpwt76b6lntB87JDAoun9aiZ987aWoryBA/l5FVu0fSahmu0vy/He/CDDIHyAt58p6FX+WM+Ui8p7st2zfkMeL4gp6vP6Wk6bhkbsMpq+KPmuiDB4DcHD6sIcnQWgpJGMFeBAFNDuBmWevWw2tYNTNcFKssf4u625JPFbsjJNjxObrGIdbGKHdZbQXRlDUpL3QDWTdBO8HEm99CZK5pqXNh1+JS9JkQw5LAgsIVo6miSGQWduhL28tu+2C5CJ9eHl1/0pY8jgWHJ3w+Dvz+DKbIHzqoKzMgsGMHdnFkiyYBr715ZFFx5Waxj5PUz2Q6Zr80g9L1hsNo6m1R8JKBIUHzHj4bm2oYS/6EBRhxDs6rKyLDSO03d4JT3Q5s187OjifSi01BN2LFRvO5zQLJ8ICacEvMhrIe9e0IOEEBv66QBsUyukJds/RedQIBHY2rpevvLEoMcRiMqKJVoYoY7Mink8fHG1SYQJZ3FcF/5QlPSGEKYdRR2WOg3bNhCZwTUc1bgW/w0qgxzzqh8NBQvYzGu+zZmnt/nxf/HRa7RdWrTG3KMAOcWEdJ2hg3Kf0frqTKVNXtV+gJAqfMUnQDQfgnDsPu0U8w5N5ewFLc/ULgyOzxH35GlEZIu5+9cjO/DyCmu5CXmJsvAxiIrI2ZYF/wp9PXyu1MVQDi0SDr/Ms/WihYGvu+g2Z4VICdn4H9ISBPwjLATl4oaMijloH+afSJnA1VbRGlO9DPT75VCQF8s0RepTVoSToEFDF5vpdZA14z35X5EuTubYlUVqlBG6JVvUxjDKIMBX7+CgEcjtlARSjuGDksfagwIgO9SniuLA5+yRkfIvJUFZ4VanUSUXV6ZWHU6BcEsJUmbIsFC1UmAiPIIH9YwqKovvscWCLqNYnXP39B1r5PF8G9FRibwt8X1PbDQ8eMBSj1uQMf/YVIbcAF5C3Ds88v0mpVg5JDoCN7MHGuM/tXycsY5bhp8+B1dOsea6bwDs788vfZMeevgC1/t9f727OP9QjWS3tw0D35FuBrMyK169U65074XjcSeM9fC/0mpEACaF9rzgGJgk5p5vlenJApPOXLRtnsZsXDbKQ5Ov+GHBaw2iVZEUVeTm51O7U5jsXT+3KVdFhlMVdhdHo7QF5PGK15jliWQspgs4IUiCvHyl1dNZvatmVh6ozZRa1v0fAPFClPuxVppFV4PxmjxmM4ioSg5pBqrtaib3YNMsM7nU5LLGTOPddoGa/g0jimHVssrP0Nfhdg76XE+cPf1dOfOAxq4uK8vZleKF+jpWDc8xcGtgLWGQyBIS6+/Ah+T3ae1PFMc7rA+0xz0GaZzjwP3te0szESDa/GJ5gWsNEJ+MqqC/7+nRPm+ayBsWo7X8p9dEj94c6jqGJ7wKrky93VtpPF2jv0h8o1+wH3Nk1CXbM1z7Pqe3i8yVDvLGheOBLGUFpcgO2mcitAu3Gr2QRSDCmfzhttFNVQJKMja/oj4l+qw1F65aQOPAt32XUC3PfXh5oCfzcrtYUbN0oqy+tv+OT3s7g84uCEuYymVHre+p4fXGuVLNdjOuAECD1amKnuORsQxj6fbQcCoxaLJq2qR8frdoQMMUMKSuCACSG5G+GCb54r/UvFz751tCYlhXKn1I4+yWb1spX9lEapg9xRl/2er48h8/nl8fwL/HZD8/Ex+YCd4C6mHACYxp8WNJ3uC4wOHWZ9mwD/usz/bZwRs7ipamj82gBLDCj/6Zs+9dvpAUMCdI9gJ3FRTjQjbw3KxeDhSw7GKdbJhvZyAF6GX82iNBrGkeqY1ZzAWf8PQSi4s5fKdtt0rVEIuppy/UYhD8oWhVFs7aSpgfAXcisiTl3T1lY5ICK2pWBz8g/cqILWFIV/1/FGwP7Yl9OyvFzBRL33/uJqUDXH+1m1Ibps323yTtvTADeXKG+WrfsMuoqdkE2Du5eVCuEHya2Vo7Mw/8XwII/EFYYLcauFU4bGxsbkHlnJeLDREphmRSyipXy0lOLQKVevxkXRWOuW5TYcmlx4xudfBjnjgFO0VdHaVQzqcgBNkRzZf30qTptAfMgBoL1UAITK9hXE4NMQuhKEstrDxMQigMZMoqNM9LsHeUZMjO0AN4IisOTVQ4SPfqx28KYAx5Pe+89APimR3P+HXPSjA7Pc+h6f2+1xpDWEgUAviYtAiz1kDaiX3YXbZMVel768V9qtYMwPCjNLK9VQSzVYgZseI/9HLGFmgX+i6d0iYhM0FFVu01ygz9E0t+dOE/3xRN6BeagQiij/MDYaoGl/VeYtZNhYSLQhh6zByBK/3cesvBg33q/PzIkJP6iTncSkwjztazioiLSXmCuJaRW76Zxf+zLCKLsrl4bN0sx2ZIPYJJSObicP8Kbla/POKUNdOAJNDrAsKcQXzfLL5W+q4hO/U6/d/Ze4iW/9rxQOpg+Ulru/hf2HQ+2uOevRA+XCyksRe/SBRCQefSDVKgOtLBKRNbTxDS6uanQcRKzL1Nos0A4wrDXmLuAo3jMjz1Mhn9AsgT+T8g2PGzPvHx3IMKHeICmg2Jp1D2pAKDpD2FvzWrcX1r7eS7ttk0sZXs5smfVIjzUqaB2T+BMu8Lx5i5CnxzZL33tTqPWYH4Lbm6AaUjbKFQu1ovh+moNN2r/YmNPBrbghzIAyIAoDajkt3iB4gB7+96EZ4Pj3/npxoRwgMRLV0llb5G7Q60OtlpiF0IYG4ytm25/euRVvqZVIO952uZWDVBBChkjrT4X3MJRrDAM+TIATD9fK3JAqjd6Mgk0A+LJEBSDPOnXuT9CFrmQGAeuL3TJurgboDPv5Lb9dTlldSF2IaQNajIgP95xEXWWIQKtgiLXrHONlJR/Z+JmrzWz67++a0Qoh1yVqKSSTKxzSvw5oDr8pOYljKnWdCYZTvqCxNBxPGDwtP0N1TFwRIoTCjqmy8VcCoDTdD7aiSapoCEIqhfXi477lWRDzepB8DlDGoXxs/Ou5QvrMYi0ZvTgKu83/eWTSfndOP/79jmy2r5jNfGh7iXQE5Ty/Fi4ZrMMIgYADZU50GQISRTzVBG6N0ApdbnkqaPXfXxjC9SwId0/XC4a6bMBRyemGn1LjpPlvnPUEQWNpPcbRi8eUcyrY6pdP+YN7HEePp9vq0WbZaryf0il5xm48hiZKOw1cyVjZxLIMmyo5dA6DsZr5jUBuXAiXwj0Beqb1WQAqJxK+x98dwdZ4RISf94ezCl9YTR/VP/wwzq0b43kNzFP0oKhHhClkcKmQxgkra9v5Ac+OUV3SWq3E8OkjJ9i8TghdUAOfvUFX6RIzAvytH0IZUBbAO49wOkgWOvrI3t9XkgyXZ6TRCQFBOeIciiQSdTLDBBh2NYiuWporG2nqkqz/NXteEvCw8vTSPsJnYl3QVX5jIQqkgxTGVegIKiW53agre3pRJl0NEXCV/V7W+1Mb89v9kb6v59Piv8zVZLQVIWGTCuYOg+3H6Skbj6tgXWvn66Ah8J5c6k1sLNuizKGIaOnYMzpPGEbfOYBBalD4xaeql2I+vGyeyUxHwZB1GHsyMXI9x485o7+bEMkaZpwwNhA6zFov2W+kve2aQKikBG2x1TYSj2OguqMad6CH+xnaTbnbqJ5b464NU6CduBj4MKHcAyKqQdoMi2yVbC5IoUoLbGbwrP6oUFdToe3SWz5PFFasKx0mTE0uNj5JWX1Seg98YJeeawm82FpUbLomVRFxIq2aKLojhSvv2Y8wDwGhRM9sLJXDPDSbd899PszviBCeHPl6TVh7r+NIuOv7qu1X9TpiDWEI6QnQWbcsG9VkcnIIaI+mrGG05/AxOIAhVEYnSi4TvDHkONXytboi6OdVIlNUkwa/JaJ9MTC13FtARR1gzhouKE/UZe4gQsH/rbPs8zDiPnwFbOMTlmDJtX49UEnDt6/vAbfSbmoE5NDSigcHrLE7NVgBtKY68mcdxlkRZYafnwKWKSnIKnav/cRAGtsAC9oc8GhmK482uadByeHAMUKC+y931/VWkagTjZAm0VSA/7Ms7n4u7v4du4R+CSdVqLHHTT86DexxD6z2ZtXg0VjtI/Q6p+zWoIuFxWm7LszWxcCoRxF6ncr9WPA0SaJq/schcAjLX6CAmEIpmlLRzRjNWuwckK4bqFki5Do8Z4xR4DAdDpxai9HWBw5HhZ2+2nJe1iefxUtATMJLbR0ySViV3hVHT2VG5itDXq895tBIKO0O2gm+48R9D0/0AuJjmnbFrIkEgZpkIFr7u2UucD5t7zyNhNcoe5Ya1S+7+n/maeL/9s9Kde5H5c4FcKT2wfCsnSJcciAWOvQqhxrfCHIcDTWf1n8S0NeUp3WE/cO7M++kmZYCsgGKczVhFVUgRPvrIRTWoaRb9BL5O8LP7OTeR6li4umPyL7OUnjmfVrMSaN0f7FjQOai9FBhKy68oB5r/N8xkJordkdBCiT1zj4Kkjsm6rsfiUkMH1nzBo4arCPa0o8UGOHTraFBoJRzOdpY76QrkibbM8sK+W8HmztlKtjR8c7WWbya2vq7VGLr+f7mACAWB9mbJzoez/4B8D5cc4nT+DvMtEr0kGQ0Q77lDtbjhHXafUnUAKcW9HjIZ9WJ9HOKlElpS//cba7DgK0Tl++m3taSy5RNcio03/v4ZL6lvaA1QX0RJbx7nyGnETEewi8jtefE6vQGvqXUu+XVYSfpEut/fecIpdw/rQAO0y+iA70fnZPmOuelQkhK6vnKyI9Pc/39K17ItZ4lz2uAqsN2zk33QxCcEDUdJK2zbunDMBuR8JAWtKbtwPmNzRohDUDvNYEvOnD2cvG3f7id1cj20CuQHAaIJn7SbMi/hgO4ielDMWcBzeXIboCcd14N6BdAlsewvgUYi/xPDyH1/ehIJMDJv+hjwZeay17gyI3aIOlDaEdz036FKz/0+o76CFhIZYbm18NqdByIZTCqw70FoGt0Gmhj1DqU9piehI5J2t0sC09KSSx2shMbP1Z7zf4KX/evoIJpBIKWgM+Cug7WyxRGSKgeI01cF87xrWbDCYSfmCYV6RQyWrT3KqBb9McI+9q7dmMumcsRmN/L/wWIGEdzUXNrDgx8Ks8LE/17I5rUBgrn5wv+WIYUkmVjdoE2m0n0EiqVVBnayeereAS2CPjtY0fWPzJLUpUFGWtDa93llkr55amWbaES+D2D3EzERkggE0idxNlBlTxf8CDBqH5YRdKdBL9dVLMH+7NJbjkO04KrAAAqN88Llbj2PvzwWbM5WIiOxGWcYhV845f2/9y/qhEUbJ1IrOsJ3jYBQ8FszOWruF48StYRFS3v/60+mRhh4j/SDISkd+KAmwM6cDT/9P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"_w": 175.8, "_h": 175.8, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "{\"filename\":\"Logo no background_00001_.png\",\"subfolder\":\"\"}" ], "widgets_values_named": { "_image_path": "{\"filename\":\"Logo no background_00001_.png\",\"subfolder\":\"\"}" }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 34, "type": "LCLabel", "pos": [ -4920, -2670 ], "size": [ 198, 83 ], "flags": { "pinned": true }, "order": 6, "mode": 0, "inputs": [], "outputs": [], "properties": { "text": "Lonecat's", "font": "Great Vibes", "size": 65, "bold": true, "italic": false, "color": "#ffe63c", "align": "center", "outline": false, "outlineColor": "#000000", "outlineWidth": 4, "shadow": false, "shadowBlur": 10, "bg": false, "bgColor": "#324B4B", "radius": 12, "padding": 8, "angle": 0, "width": 0, "cnr_id": "ComfyUI_LC123_nodes", "ver": "0058958ed6e5016a80302e9a458af90008eadc77", "Node name for S&R": "LCLabel", "_w": 198, "_h": 83, "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 36, "type": "LCLabel", "pos": [ -4370, -2670 ], "size": [ 219, 83 ], "flags": { "pinned": true }, "order": 7, "mode": 0, "inputs": [], "outputs": [], "properties": { "text": "Module", "font": "Bahnschrift", "size": 65, "bold": false, "italic": false, "color": "#50e070", "align": "center", "outline": false, "outlineColor": "#000000", "outlineWidth": 4, "shadow": false, "shadowBlur": 10, "bg": false, "bgColor": "#324B4B", "radius": 12, "padding": 8, "angle": 0, "width": 0, "cnr_id": "ComfyUI_LC123_nodes", "ver": "0058958ed6e5016a80302e9a458af90008eadc77", "Node name for S&R": "LCLabel", "_w": 219, "_h": 83, "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 38, "type": "LCLabel", "pos": [ -6980, -2620 ], "size": [ 400, 63 ], "flags": { "pinned": true }, "order": 8, "mode": 0, "inputs": [], "outputs": [], "properties": { "text": "Notes: Start Here 👇", "font": "Lobster", "size": 48, "bold": true, "italic": false, "color": "#ffe63c", "align": "center", "outline": false, "outlineColor": "#000000", "outlineWidth": 4, "shadow": false, "shadowBlur": 10, "bg": false, "bgColor": "#324B4B", "radius": 12, "padding": 8, "angle": 0, "width": 0, "cnr_id": "ComfyUI_LC123_nodes", "ver": "45c0fd983d47677b1febbad80d1496a0dc0ebbb4", "Node name for S&R": "LCLabel", "_w": 400, "_h": 63, "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "color": "#fff0", "bgcolor": "#fff0" }, { "id": 39, "type": "LCNote", "pos": [ -6970, -2510 ], "size": [ 620, 890 ], "flags": { "pinned": true }, "order": 9, "mode": 0, "inputs": [], "outputs": [], "title": "LC MOSS AnyPaint 🩹", "properties": { "lc_note": { "source": "en", "texts": { "en": { "text": "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*", "src": "34b599df", "srcTitle": "LC MOSS AnyPaint 🩹" } }, "titles": { "en": "LC MOSS AnyPaint 🩹" } }, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} }, "lc_setup": { "models": [ { "file": "moss_image_sft_int8_convrot.safetensors", "folder": "diffusion_models", "size": "5.4 GB", "url": "https://huggingface.co/Comfy-Org/MOSS-Image", "note": "or Base" }, { "file": "qwen3.5_9b_int8_convrot.safetensors", "folder": "text_encoders", "size": "9.8 GB", "url": "https://huggingface.co/Comfy-Org/MOSS-Image", "note": "" }, { "file": "flux2-vae_small.safetensors", "folder": "vae", "size": "250 MB", "url": "https://huggingface.co/Comfy-Org/MOSS-Image", "note": "" }, { "file": "moss_anypaint_rank32.safetensors", "folder": "loras", "size": "149 MB", "url": "https://huggingface.co/yijunwang2/moss-anypaint", "note": "Apache-2.0" }, { "file": "lora_dmd2.safetensors", "folder": "loras", "size": "1.2 GB", "url": "https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd", "note": "Base 8-step DMD2 (turbo_lora)" } ], "packs": [ { "name": "LC123", "url": "https://github.com/lonecatone23", "probe": "" }, { "name": "LC MaskMaker", "url": "https://github.com/lonecatone23", "probe": "" } ] } }, "widgets_values": [ "English ✏️", "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*" ], "widgets_values_named": { "language": "English ✏️", "text": "## LC MOSS AnyPaint 🩹\n---\n\n@[card: Follow me](https://civitai.com/user/lonecatone23)\n\n@[card: Follow me](https://www.instagram.com/synth.studio.models/)\n\n@[card: Get my stuff here](https://github.com/lonecatone23)\n\n@[card: Get my models here](https://huggingface.co/Lonecatone23)\n\n@[card: Buy me a ☕](https://ko-fi.com/lonecatone)\n\n### This is many hours of work. If you enjoy it, please 👍 like, 💬 comment, and feel free to ⚡ tip 😉\n\n---\n\n### 🛑🚫✋ Read this first\n- MOSS Image inpaint and outpaint with yijunwang2's **MOSS AnyPaint LoRA**, done the way it was trained.\n- 📂 Two LoRAs go in your loras folder:\n - **MOSS AnyPaint** [Here](https://huggingface.co/yijunwang2/moss-anypaint/blob/main/moss_anypaint_rank32.safetensors)\n - **MOSS-Image-Base 8-step DMD2** [Here](https://huggingface.co/lodestones/MOSS-Image-Base-8-steps-dmd/resolve/da05cb3b52899179e2bb5f7efe1058fefcbae21b/lora_dmd2.safetensors) (rename it so you can find it)\n\n```\nComfyUI/\n└── models/\n └── loras/\n └── Moss Image/\n └── Utility/\n ├── moss_anypaint_rank32.safetensors\n └── MOSS_Image_Base_8_steps_dmd2_pinned.safetensors\n```\n\n- Runs on ComfyUI's own MOSS. No extra installs.\n- 8 steps, euler / simple, cfg 1. The node adds both LoRAs for itself only.\n\n**LC MOSS AnyPaint 🩹**\n- **prompt:** describe the whole finished picture, not just the change. \"An old fisherman in a yellow raincoat on a pier\", not \"yellow raincoat\".\n- 💡 \"Remove the car\" style prompts leave a flat blob. Describe what should be there instead.\n- **turbo_lora:** the Base 8-step DMD2. Set it to off only if your model already has a turbo LoRA in it.\n- **crop_to_mask** on (inpaint): small areas get redrawn in their own crop at full resolution. Off (outpaint): the whole picture.\n- **boundary_px:** keep 32. At 0 the join of an outpaint shows as a line.\n- **composite keep original:** only the painted area is pasted back. **raw:** the model's whole redraw.\n\n---\n\n***\"True Nothing is. Permitted Everything is\"***- Yoda Auditore, *Assassin's Wars*" }, "color": "#2E3A46", "bgcolor": "#2E3A46" }, { "id": 41, "type": "LCPositive", "pos": [ -5640, -1830 ], "size": [ 400, 200 ], "flags": { "collapsed": true, "pinned": true }, "order": 10, "mode": 0, "inputs": [], "outputs": [ { "name": "positive", "type": "STRING", "links": [ 49 ] } ], "title": "Base prompt (Placeholder)", "properties": { "cnr_id": "ComfyUI_LC123_nodes", "ver": "573d8e1f7a5a76fb7c93ad7a317b8ff42426c986", "Node name for S&R": "LCPositive", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "widgets_values": [ "Purposely empty" ], "widgets_values_named": { "positive": "Purposely empty" }, "color": "#326432", "bgcolor": "#326432" }, { "id": 43, "type": "LCBatchImageComparer", "pos": [ -3790, -2360 ], "size": [ 530, 850 ], "flags": { "pinned": true }, "order": 42, "mode": 0, "inputs": [ { "label": "Before", "name": "image_a", "shape": 7, "type": "IMAGE", "link": 66 }, { "label": "Anypaint(ed)", "name": "image_b", "shape": 7, "type": "IMAGE", "link": 101 } ], "outputs": [ { "name": "images", "type": "IMAGE", "links": [] } ], "title": "Anypaint Compare", "properties": { "cnr_id": "ComfyUI_LC123_nodes", "ver": "1d09f85e3bed224313a6fa77f3f79c632d6004ae", "Node name for S&R": "LCBatchImageComparer", "comparer_mode": "Slide", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "color": "#324B4B", "bgcolor": "#324B4B" }, { "id": 44, "type": "LCPositive", "pos": [ -4630, -2430 ], "size": [ 300, 180 ], "flags": { "pinned": true }, "order": 11, "mode": 0, "inputs": [], "outputs": [ { "name": "positive", "type": "STRING", "links": [ 75 ] } ], "title": "Anypaint prompt", "properties": { "cnr_id": "ComfyUI_LC123_nodes", "ver": "1d09f85e3bed224313a6fa77f3f79c632d6004ae", "Node name for S&R": "LCPositive", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "widgets_values": [ "" ], "widgets_values_named": { "positive": "" }, "color": "#326432", "bgcolor": "#326432" }, { "id": 45, "type": "Fast Groups Bypasser (rgthree)", "pos": [ -5230, -2470 ], "size": [ 270, 60 ], "flags": { "pinned": true }, "order": 12, "mode": 0, "inputs": [], "outputs": [ { "label": "🤫", "name": "OPT_CONNECTION", "type": "*", "links": [] } ], "title": "Anypaint 🖌️ Bypasser", "properties": { "matchColors": "", "matchTitle": "# Anypaint", "showNav": false, "showAllGraphs": true, "sort": "position", "customSortAlphabet": "", "toggleRestriction": "default", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "color": "#c3782d", "bgcolor": "#af6419" }, { "id": 46, "type": "PrimitiveBoolean", "pos": [ -4940, -2430 ], "size": [ 300, 60 ], "flags": { "pinned": true }, "order": 13, "mode": 0, "inputs": [ { "label": "Inpaint=True/ Outpaint=False", "name": "value", "type": "BOOLEAN", "widget": { "name": "value" }, "link": null } ], "outputs": [ { "name": "BOOLEAN", "type": "BOOLEAN", "links": [ 70, 73, 82, 88, 89, 100 ] } ], "title": "Inpaint or Outpaint?", "properties": { "cnr_id": "comfy-core", "ver": "0.37.0", "Node name for S&R": "PrimitiveBoolean", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" } }, "widgets_values": [ false ], "widgets_values_named": { "value": false }, "color": "#233", "bgcolor": "#355" }, { "id": 47, "type": "LCBooleanSwitch", "pos": [ -4320, -2360 ], "size": [ 270, 80 ], "flags": { "collapsed": true, "pinned": true }, "order": 35, "mode": 0, "inputs": [ { "label": "Inpaint", "name": "on_true", "shape": 7, "type": "*", "link": 68 }, { "label": "Outpaint", "name": "on_false", "shape": 7, "type": "*", "link": 69 }, { "name": "state", "type": "BOOLEAN", "widget": { "name": "state" }, "link": 70 } ], "outputs": [ { "name": "*", "type": "*", "links": [ 80, 93 ] } ], "title": "Image boolean", "properties": { "cnr_id": "ComfyUI_LC123_nodes", "ver": "573d8e1f7a5a76fb7c93ad7a317b8ff42426c986", "Node name for S&R": "LCBooleanSwitch", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" }, "lc_w": 270, "lc_h": 80 }, "widgets_values": [ false ], "widgets_values_named": { "state": false }, "color": "#28281E", "bgcolor": "#28281E" }, { "id": 48, "type": "LCNote", "pos": [ -5230, -2370 ], "size": [ 270, 550 ], "flags": { "pinned": true }, "order": 14, "mode": 0, "inputs": [], "outputs": [], "title": "How to use", "properties": { "lc_note": { "source": "en", "texts": { "en": { "text": "- MOSS Image inpaint and outpaint with **yijunwang2's MOSS AnyPaint LoRA**, done the way it was trained.\n\n- **[MOSS AnyPaint LoRA](https://huggingface.co/yijunwang2/moss-anypaint)**\n\n---\n\n### ✋ How to use\n\n### 🎚️Choose inpaint or outpaint from the toggle.\n- ⚠️ both will populate, but only the one selected will work\n\n**Inpaint 🖌️**\n\n- Run once so the picture shows on **LC Create Mask**, then paint over what you want changed\n - set pencil or point mode.\n - block on empty mask prevents it from processing until a mask is drawn\n\n**Outpaint & Rotate**\n\n- Drag the edges out and rotate the image\n- Write the prompt for the **whole** wider picture, including what fills the new sides.\n\n**Prompting ✍🏼**\n- base vs anypaint prompt\n - if you are just outpainting, base prompt works okay\n - for inpainting, you must use the anypaint prompt\n- 💡instead of *\"show her legs\"* when extending the image downward, write **\"pink haired woman sitting on a couch wearing a pink sweater and white lace panties\"**\n\n\n---\n\n**Settings worth touching**\n- **boundary_px:** 32. Raise it if a seam ever shows.\n- **padding (inpaint):** more = the model sees more of the scene around the mask.\n- **lora_strength:** 1.0 is what it was trained for.", "src": "96b82541", "srcTitle": "How to use" } }, "titles": { "en": "How to use" } }, "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "English ✏️", "- MOSS Image inpaint and outpaint with **yijunwang2's MOSS AnyPaint LoRA**, done the way it was trained.\n\n- **[MOSS AnyPaint LoRA](https://huggingface.co/yijunwang2/moss-anypaint)**\n\n---\n\n### ✋ How to use\n\n### 🎚️Choose inpaint or outpaint from the toggle.\n- ⚠️ both will populate, but only the one selected will work\n\n**Inpaint 🖌️**\n\n- Run once so the picture shows on **LC Create Mask**, then paint over what you want changed\n - set pencil or point mode.\n - block on empty mask prevents it from processing until a mask is drawn\n\n**Outpaint & Rotate**\n\n- Drag the edges out and rotate the image\n- Write the prompt for the **whole** wider picture, including what fills the new sides.\n\n**Prompting ✍🏼**\n- base vs anypaint prompt\n - if you are just outpainting, base prompt works okay\n - for inpainting, you must use the anypaint prompt\n- 💡instead of *\"show her legs\"* when extending the image downward, write **\"pink haired woman sitting on a couch wearing a pink sweater and white lace panties\"**\n\n\n---\n\n**Settings worth touching**\n- **boundary_px:** 32. Raise it if a seam ever shows.\n- **padding (inpaint):** more = the model sees more of the scene around the mask.\n- **lora_strength:** 1.0 is what it was trained for." ], "widgets_values_named": { "language": "English ✏️", "text": "- MOSS Image inpaint and outpaint with **yijunwang2's MOSS AnyPaint LoRA**, done the way it was trained.\n\n- **[MOSS AnyPaint LoRA](https://huggingface.co/yijunwang2/moss-anypaint)**\n\n---\n\n### ✋ How to use\n\n### 🎚️Choose inpaint or outpaint from the toggle.\n- ⚠️ both will populate, but only the one selected will work\n\n**Inpaint 🖌️**\n\n- Run once so the picture shows on **LC Create Mask**, then paint over what you want changed\n - set pencil or point mode.\n - block on empty mask prevents it from processing until a mask is drawn\n\n**Outpaint & Rotate**\n\n- Drag the edges out and rotate the image\n- Write the prompt for the **whole** wider picture, including what fills the new sides.\n\n**Prompting ✍🏼**\n- base vs anypaint prompt\n - if you are just outpainting, base prompt works okay\n - for inpainting, you must use the anypaint prompt\n- 💡instead of *\"show her legs\"* when extending the image downward, write **\"pink haired woman sitting on a couch wearing a pink sweater and white lace panties\"**\n\n\n---\n\n**Settings worth touching**\n- **boundary_px:** 32. Raise it if a seam ever shows.\n- **padding (inpaint):** more = the model sees more of the scene around the mask.\n- **lora_strength:** 1.0 is what it was trained for." }, "color": "#2E3A46", "bgcolor": "#2E3A46" }, { "id": 49, "type": "LCBooleanSwitch", "pos": [ -4320, -2320 ], "size": [ 270, 80 ], "flags": { "collapsed": true, "pinned": true }, "order": 36, "mode": 0, "inputs": [ { "label": "Inpaint", "name": "on_true", "shape": 7, "type": "*", "link": 71 }, { "label": "Outpaint", "name": "on_false", "shape": 7, "type": "*", "link": 72 }, { "name": "state", "type": "BOOLEAN", "widget": { "name": "state" }, "link": 73 } ], "outputs": [ { "name": "*", "type": "*", "links": [ 81, 94 ] } ], "title": "Mask boolean", "properties": { "cnr_id": "ComfyUI_LC123_nodes", "ver": "573d8e1f7a5a76fb7c93ad7a317b8ff42426c986", "Node name for S&R": "LCBooleanSwitch", "ue_properties": { "widget_ue_connectable": {}, "input_ue_unconnectable": {}, "version": "7.8" }, "lc_w": 270, "lc_h": 80 }, "widgets_values": [ false ], "widgets_values_named": { "state": false }, "color": "#28281E", "bgcolor": "#28281E" }, { "id": 50, "type": "GetNode", "pos": [ -4320, -2240 ], "size": [ 210, 40 ], "flags": { "collapsed": true, "pinned": true }, "order": 15, "mode": 0, "inputs": [], "outputs": [ { "name": "LC_PIPE", "type": "LC_PIPE", "links": [ 74 ] } ], "title": "Get_Pipe", "properties": { "Node name for S&R": "GetNode", "aux_id": "kijai/ComfyUI-KJNodes", "ue_properties": { "widget_ue_connectable": {}, "version": "7.8", "input_ue_unconnectable": {} } }, "widgets_values": [ "Pipe" ], "widgets_values_named": { "Constant": "Pipe" } }, { "id": 51, "type": "LCPipeOut", "pos": [ -4320, -2200 ], "size": [ 200, 550 ], "flags": { "collapsed": true, "pinned": true }, "order": 27, "mode": 0, "inputs": [ { "label": "pipe", "name": "pipe", "type": "LC_PIPE", "link": 74 } ], "outputs": [ { "name": "pipe", "type": "LC_PIPE", "links": [] }, { "name": "Model 1", "type": "MODEL", "links": [ 90 ] }, { 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