Customize the QR Code output for your text prompt with these Settings.
Image Generation Settings
Search for our available models here to learn more about them.
Please use our default settings for optimal results if you're a beginner.
βοΈ Conditioning Scales
At 0 the prompted visual will be intact and the QR code will be more artistic but less readable
.
At 2 the control settings that blend the QR code will be applied tightly, possibly overriding the image prompt, but the QR code will be more readable
.
Image generation engines can often generate disproportionate body parts, extra limbs or fingers, strange textures etc. Use negative prompting to avoid disfiguration or for creative outputs like avoiding certain colour schemes, elements or styles.
By default, each run produces one output per Model.
An increase in output quality is comparable to a gradual progression in any drawing process that begins with a draft version and ends with a finished product.
At lower values the image will effectively be random. The standard value is between 6-8. Values that are too high can also distort the image.
β QR Positioning
Use this to control where the QR code is placed in the image, and how big it should be.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIAAAACACAIAAABMXPacAAAgAElEQVR4AcXBD3BTdYIH8O8vlbe3M97Nebe6/NTnA4yLnBXFP4BLhDWvBZfUUxJBUUD+NLxwa0qBtleddNGmippiabqzvJBQ7IqixcQ/pOzWkuc5ysiwK7i46x8eIN7qD5e92Vfw/fBPbd7N/GZ2RibSwYSZfD7kgw8++Jd/+ReUyf/93/9dcMEFFRUVKIcvvvjiq6+++td//VeUyddff02OHTs2evRolMmhQ4cURRk1ahTKYXBw0LbtSy+9FGVy6tQpwhijlKJMTNNUFEWSJJSDZVm2bcuyjDLhnBPGGKUUZWKapqIokiShHCzLsm1blmWUCeecMMYopSgT0zQVRZEkCeVgWZZt27Iso0w454QxRilFmZimqSiKJEkoB8uybNuWZRllwjknjDFKKcrENE1FUSRJQjlYlmXbtizLKBPOOWGMUUpRJqZpKooiSRLKwbIs27ZlWUaZcM4JY4xSijIxTVNRFEmSUA6WZdm2LcsyyoRzThhjlFKUiWmaiqJIkoRysCzLtm1ZllEmnHPCGKOUokxM01QURZIklINlWbZty7KMMuGcE8YYpRRlYpqmoiiSJKEcLMuybVuWZZQJ55wwxiilKBPTNBVFkSQJ5WBZlm3bsiyjTDjnhDFGKUWZmKapKIokSSgHy7Js25ZlGWXCOSeMMUopysQ0TUVRJElCOViWZdu2LMsoE845YYxRSlEmpmkqiiJJEsrBsizbtmVZRplwzgljjFKKMjFNU1EUSZJQDpZl2bYtyzLKhHNOGGOUUpSJaZqKokiShHKwLMu2bVmWUSacc8IYo5SiTEzTVBRFkiSUg2VZtm3Lsowy4ZwTxhilFGVimqaiKJIkoRwsy7JtW5ZllAnnnDDGKKUoE9M0FUWRJAnlYFmWbduyLKNMOOeEMUYpRZkcOXJk3LhxKBPO+cmTJymlKBPOOWGMUUpRAsuy9u/fj6L84Ac/+Prrrx3HwekuueSS8ePHQ/jkk08OHjyIAmPGjBk3bhyEI0eOHD16FAV+8pOfXHrppRA+/PDDTz/9FN9SUVHhcrmGhoZQrEmTJl1wwQUoFuecMMYopShBLperqqpCUaLR6JNPPmlZFk5XW1ubTCYhdHZ21tfXo8ADDzzw6KOPQnjwwQfXrVuHAhs2bFi5ciWEYDCYSqXwLVOnTp04ceKmTZtQrF27dqmqimJxzgljjFKKEhiGoaoqivLII490dnYeP34cp9M0Tdd1CF1dXXV1dSgQiUSi0SiElpaWtrY2FIjH4+FwGEIoFEokEvgWj8dTWVmp6zqKlcvlvF4visU5J4wxSilKYBiGqqooSmtr6/r160+cOIHTaZqm6zqEDRs2rFq1CgUikUg0GoXQ0tLS1taGAh0dHfX19RBCoVAikcC3TJ48eeLEialUCsXK5XJerxfF4pwTxhilFCUwDENVVQgXXXTR5MmTATiOg7MQCAQGBgZOnjzpcrk+/vjjAwcOQNA0Tdd1CDt27NB1nRDicrkOHTr0/vvvQ4hEItFoFEJLS0tbWxuECRMmuN3ufD7vOE4oFLrtttsghEKhRCIBYeLEiYqiuN3uSy65xDAMQgjOAiEEwN69e48fPw4hl8t5vV4Ui3NOGGOUUpTAMAxVVSHU1NTs2LEDZ+3QoUNjx46tqKgA0N3dvWzZMgiapum6jgLr169vaGiAEIlEotEohJaWlra2Ngjt7e1r1qxBgVAolEgkIGzevHnp0qUnTpywbfuSSy7B93Hbbbdls1kIuVzO6/WiWJxzwhijlKIEhmGoqgrB5/Nls1mcNdM0x4wZM2rUKACpVCoYDELQNE3XdRRob29vbGyEEIlEotEohJaWlra2NgixWKyhoQEFQqFQIpGAkEwma2trLcuybVuWZXwfNTU1fX19EHK5nNfrRbE454QxRilFCQzDUFUVgs/ny2azOGuHDx+WZVmSJACpVCoYDELQNE3XdRTo7Oysr6+HEIlEotEohJaWlra2NggbNmxYuXIlCoRCoUQiASGZTNbW1lqWZdu2LMv4Pmpqavr6+iDkcjmv14ticc4JY4xSihIYhqGqKgSfz5fNZiEwxt566y1CCM7AcRxK6eTJk8877zwAqVQqGAxC0DRN13UIhw8f3r9/v0t48cUXf/Ob30CIRCLRaBRCS0tLW1sbhEWLFs2ZMycvTJo06fLLL4cQCoUSiQSEZDJZW1trWdYXX3zx2WefHTlyxOVy4Qwcx7npppsuvvhiCDU1NX19fRByuZzX60WxOOeEMUYpRQkMw1BVFYLP58tmsxBeeOGFuXPnYkQbN24MhUIQUqlUMBiEoGmarusQOjs76+vrUSASiUSjUQgtLS1tbW0osGHDhpUrV0IIhUKJRAJCMpmsra0dHBwcGhpqbGzs6enBiLZv337nnXdCqKmp6evrg5DL5bxeL4rFOSeMMUopSmAYhqqqEHw+XzabhZDJZAKBAEak67qmaRBSqVQwGISgaZqu6xC6urrq6upQIBKJRKNRCC0tLW1tbSgQj8fD4TCEUCiUSCQgJJPJ2trawcHBoaGh5ubm7u5ujCidTvv9fgg1NTV9fX0Qcrmc1+tFsTjnhDFGKUUJDMNQVRWCz+fLZrMQMplMIBDAiHRd1zQNQiqVCgaDEDRN03UdQkdHx+rVq1EgEolEo1EIzc3Njz/+OArE4/FwOAwhFAolEgkIyWSytrZ2cHBwaGioubm5u7sbI0qn036/H0JNTU1fXx+EXC7n9XpRLM45YYxRSlECwzBUVYXg8/my2SyETCYTCAQwIl3XNU2DkEqlgsEgBE3TdF2H0N/fv2XLFiK8//7777zzDoRIJBKNRiH09vZmMhki7N+//4MPPoAQj8fD4TCEUCiUSCQgJJPJ2trawcHBoaGh5ubm7u5ujCidTvv9fgg1NTV9fX0Qcrmc1+tFsTjnhDFGKUUJDMNQVRWCz+fLZrMQMplMIBDAiHRd1zQNQiqVCgaDEDRN03UdBTZs2LBq1SoIkUgkGo2iQHNz8+OPPw4hHo+Hw2EIoVAokUhASCaTtbW1g4ODQ0NDzc3N3d3dGFE6nfb7/RBqamr6+vog5HI5r9eLYnHOCWOMUooSGIahqioEn8+XzWYhZDKZQCCAEem6rmkahFQqFQwGIWiapus6CrS3tzc2NkKIRCLRaBQFGhsb29vbIcTj8XA4DCEUCiUSCQjJZLK2tnZwcHBoaKi5ubm7uxsjSqfTfr8fQk1NTV9fH4RcLuf1elEszjlhjFFKUQLDMFRVheDz+bLZLIRMJhMIBDAiXdc1TYOQSqWCwSAETdN0XUeBWCzW1NQE4aGHHlq7di0KPPDAA4899hiEeDweDochhEKhRCIBIZlM1tbWDg4ODg0NNTc3d3d3Y0TpdNrv90Ooqanp6+uDkMvlvF4visU5J4wxSilKYBiGqqoQfD5fNpuFkMlkAoEARqTruqZpEFKpVDAYhKBpmq7rKBCLxZqamiDcfvvtc+fOdRwH30IIefbZZ3fu3AkhHo+Hw2EIoVAokUhASCaTtbW1g4ODQ0NDzc3N3d3dGFE6nfb7/RBqamr6+vog5HI5r9eLYnHOCWOMUooSGIahqioEn8+XzWYhZDKZQCCAEem6rmkahFQqFQwGIWiapus6CsRisaamJpy1eDweDochhEKhRCIBIZlM1tbWDg4ODg0NNTc3d3d3Y0TpdNrv90Ooqanp6+uDkMvlvF4visU5J4wxSilKYBiGqqoQfD5fNpuFkMlkAoEARqTruqZpEFKpVDAYhKBpmq7rKBCLxZqamnDW4vF4OByGEAqFEokEhGQyWVtbOzg4ODQ01Nzc3N3djRGl02m/3w+hpqamr68PQi6X83q9KBbnnDDGKKUogWEYqqpCmD17dl9fH4R0On3nnXdiRBs3bgyFQhBSqVQwGISwfPnyRCKBArFYrKmpCWctHo+Hw2EImqZt2rQJQjKZrK2tHRwcHBoaamxs7OnpwYheeOGFQCAAwefz7dy5E0Iul/N6vSgW55wcOHDgn/7pn1CC48ePv/766xAopR6PB8Lf/va3d999FyO64oorZFmG8NFHH/3hD3+AMG7cuOuvvx7Cl19+yTmH8Le//Y0xBuGLL744deoURjRp0iS32w3h7bffPnLkCIQbbrhh7NixQ0ND+Xz+o48+YoxhRFdfffWFF14I4c033zx27BiEGTNmXHTRRSjW8PAw+ctf/nLRRRehBLt377777rshqKr61FNPQagQMCLTNC+++OJRo0YB2LZtW1NTE4R77733scceg5BMJh988EEIdXV10WgUwoYNG9atW4cRtba2LlmyBEJzc/MzzzwD4Yknnpg/f/6JEyc454qiEEIwomEBwuLFi3O5HITnnntu2rRpKNapU6cIY4xSihIYhqGqKoSf//znO3fuxFkzTXPMmDGjRo0CkEwmly9fDmH58uWJRAJCPB5fuXIlhDVr1rS3t0OIRqO//OUvMaLOzs66ujoImqZt2rQJwqZNm4LBoGVZtm3LsozvY/bs2b/97W8h5HI5r9eLYp06dYowxiilKIFhGKqqQvjP//zPl19+GWftyJEj48aNg/Cb3/zmvvvug6Bpmq7rELq6uurq6iA0NDTEYjEIbW1tLS0tGFE8Hg+HwxBCoVAikYDQ09OzaNGiU6dOnTx5cvTo0fg+br/99ldeeQVCLpfzer0oFuecMMYopSiBYRiqqkKYOHFiXV2d4zg4O5dddtmxY8eGhoYIIW+88UZPTw8ETdN0XYfQ1dVVV1cHoaGhIRaLQWhra2tpaYFw/fXXX3fddY7jEEL27Nnz7rvvQojH4+FwGEIoFEokEhDuu+++m2+++Z//+Z9/+MMf/vWvf8VZI4TE4/EDBw5AyOVyXq8XxeKcE8YYpRQlMAxDVVUUpbW1df369SdOnMDpNE3TdR1CV1dXXV0dhIaGhlgsBqGtra2lpQXCunXrmpubITzwwAOPPfYYhHg8Hg6HIYRCoUQigW+ZPHnyxIkTU6kUipXL5bxeL4rFOSeMMUopSmAYhqqqKMojjzzS2dl5/PhxnE7TNF3XIXR1ddXV1UFoaGiIxWIQ2traWlpaIESj0UgkAqGxsbG9vR1CPB4Ph8MQQqFQIpHAt3g8nsrKSl3XUaxcLuf1elEszjlhjFFKUYKBgYGZM2eiKK2trbFY7PPPP8fplixZ0t3dDaGjo2P16tUQVq5cuWHDBghr165tbW2F8Mtf/vLhhx+G0NjY2N7eDiEej4fDYQhLly7dsmULvuXGG2+cOHHi5s2bUaxXX321uroaxeKcE8YYpRQl+PDDDzs6OlCUW265Ze/evZxzfIvjODNmzLjnnnsgvPbaa8899xwhxHGcmTNnBgIBCDt37nz55ZcJIY7j3H777bNnz4bQ2NjY3t4OIR6Ph8NhCM8+++zrr79OCME/yLJ84YUX7tu3D8VatWrV+PHjUSzOOWGMUUpRJkeOHBk3bhzOqcbGxvb2dgjxeDwcDuMMOOcnT56klKJMOOeEMUYpRZmYpqkoiiRJOHcaGxvb29shxOPxcDiMM7Asy7ZtWZZRJpxzwhijlKJMTNNUFEWSJJw79fX1nZ2dEJ588slVq1bhDE6dOnXy5MnRo0ejTDjnhDFGKUUJPvnkk0wmQwhxHGfs2LG33XYbhMOHD/f19RFCHMcZP378rFmzUMA0TUVRJEkC8Oc//zmXyxFC8C2O41x77bXTp0+HsG/fvjfffJMQ4jjO5MmTp06digIvvfTSwMBARUXF8PDwXXfdNX36dBQwDOPdd9/9t3/7tx/+8IdXXnllZWUlCvT393/44YeEEMdxfD7f5ZdfDmHHjh0fffQRIcRxHL/ff+mll6JYnHPCGKOUogS7du2qrq6GUF1d/eqrr0LYvn37vHnzIPj9/nQ6jQKmaSqKIkkSgEQiEQqFUCAUCm3cuBHCunXrHnzwQQj//d///dhjj6Eoixcv7unpmTx58hVXXDF16tT7778fBQKBQCaTgdDb2zt37lwIM2fOHBgYgDAwMFBVVYVicc4JY4xSihIYhqGqKgSfz5fNZiFkMplAIADh7rvv3rZtGwqYpqkoiiRJAFKpVDAYRIFwOByPxyHEYrGmpiYIkUgkGo2iKMFgMJVKeTwet9s9ZcqUUCiEAvPnz3/uuecgpNNpv98Poaampq+vD0Iul/N6vSgW55wwxiilKIFhGKqqQvD5fNlsFsL27dvnzZsHwe/3p9NpFDh06JDb7YbQ3d29bNkyFAiHw/F4HEJ7e3tjYyOEhx9++Je//CWKsmLFCl3XPR6P2+2eMmVKKBRCgQULFjzzzDMQduzYUVNTA+HWW2/t7++HMDAwUFVVhWJxzgljjFKKEhiGoaoqBJ/Pl81mIfzpT3966qmnCCH5fP6666679957UeDAgQO5XO6bb75xuVynTp06efIkAJfLtX///oGBAQjhcDgej0Nob29vbGyEoKrq7Nmz8/k8viWfz99yyy033ngjhFwu9/bbb7tcLnyLy+V6/vnn9+7d6/F43G73lClTQqEQhJ07d/7pT39yCU8//fQ777wDYdGiRddcc00+nwcwODj41VdfAXAcJxQKud1uFItzThhjlFKUwDAMVVUh+Hy+bDaLs/bWW2/97Gc/+/rrrwEsXbp08+bNELq7u5ctWwYhHA7H43EIsVisqakJI3r00UcfeOABCCtWrNB1HWfg8XjcbveUKVNCoRCEu+66q7e3FyP63e9+N2vWLJwLnHPCGKOUogSGYaiqCsHn82WzWZy1PXv2zJo16+TJkwBqa2uTySSERCIRCoUghMPheDwOIRaLNTU1YURPPPFEY2MjhLq6uq6uLpyBx+Nxu91TpkwJhUIQFi5cuHXrVowom836fD6cC5xzwhijlKIEu3btqq6uhjBr1qzf/e53OGt79+6trq4+efIkgFAotHHjRgjJZHL58uUQQqHQxo0bIcRisaamJoyoo6Ojvr4ewurVqzs6OnAGHo/H7XbffPPNS5cuhbB48eKenh6MaGBgoKqqCucC55wwxiilKMGRI0e6u7sJIQBcLteoUaNwunw+f/XVV8+ZMwfCu+++++KLL7pcLkLI5Zdf/otf/OLvf/87gOuvv97v9+fzeQDDw8PffPMNgOHh4WnTpvl8PgixWKypqQkjmjVr1owZM4aHhysqKl555ZU9e/ZAmD179g033JDP510u144dO/bv3+/xeK688srPPvvspz/96fDwsMvl6u3t/eMf/whhzpw5V199dT6fJ4Rs3779gw8+gLBgwYIJEybk83nHcRYuXDhmzBgUi3NOGGOUUpwj/f39t956Kwr4/f50Og2hp6dn8eLFEKLRaFdX1/Hjx3G6YDC4adMmFGhvb29sbERRNm/evHTpUggrVqzQdd3j8VRWVuq6ju+STqf9fj+EefPmbd++HQUGBgaqqqpQLM45YYxRSnGO9PX11dTUoMDdd9+9bds2CFu3bl24cCGERx55pLOz8/jx4zidpmm6rqNAe3t7Y2MjiqLruqZpEILBYCqV8ng8lZWVuq7ju2zbtu3uu++GEAgEMpkMCuRyOa/Xi2JxzgljjFKKc6Svr6+mpgYF7r333q1bt0LYtm3bPffcA6G1tbW9vf3kyZM4XTAY3LRpEwp0dnbW19ejKJs3b166dCmEFStW6Lru8XgqKyt1Xcd3SafTfr8fwrx587Zv344CAwMDVVVVKBbnnDDGKKU4R/r6+mpqalDgqquuCgQC+XweQEVFxXnnnQdh4sSJBw8e/PLLL3G64eHhb775BqdzuVy7d+/O5XIY0axZs2bMmDE8PFxRUfHKK6/s2bMHwuzZs2+44YZ8Pu9yuXbs2LF//36Px3PllVd+9tlnP/3pT4eHh10uV29v7x//+EcIc+bMufrqq/P5PCFk+/btH3zwAYQFCxZMmDAhn887jrNw4cIxY8agWJxzwhijlOIc6evrq6mpwYjmz5//7LPPQjhy5Mi4ceNQIJlMLl++HEXp6Oior6+HsHr16o6ODpyBx+Nxu90333zz0qVLISxevLinpwcjGhgYqKqqwrnAOSeMMUopzpG+vr6amhqMaMGCBU8//TQE0zQVRZEkCadLJBKhUAhFeeKJJxobGyHU1dV1dXXhDDwej9vtnjJlSigUgrBw4cKtW7diRNls1ufz4VzgnBPGGKUU58jAwMDMmTMxonnz5j3//PMQTNNUFEWSJJyuu7t72bJlKEpHR0d9fT2E1atXd3R04Aw8Ho/b7fZ4PMuWLYOwePHinp4ejOjVV1+trq7GucA5J4wxSilKcOjQIV3XCSEul+vQoUOZTAZCZWXl4sWLHcfBt+Tz+crKytmzZ0MwTVNRFEmSAOzdu/f55593Cfv37x8YGIAwbdo0v9+fz+dxBi6Xa+fOnblcDsKMGTOmTJmSz+ddLteuXbv27duHM/B4PFdeeeVHH310/fXX5/N5l8uVzWbfe+89jMjv97vd7nw+7zhOKBRyu90oFuecMMYopSjBrl27qqurUWDu3Lm9vb0YkWmaiqJIkgRA1/UVK1agwKpVq5588kmMqLW1de3atfiePB5PZWWlruso1sDAQFVVFYrFOSeMMUopSmAYhqqqKOD3+9PpNEZkmqaiKJIkAUilUsFgEAXC4XA8HseIWlpa2tra8D15PJ7Kykpd11GsXC7n9XpRLM45YYxRSlGCXbt2VVdXo0BNTc2OHTswItM0FUWRJAlAIpEIhUIocP/993d1dWFELS0tbW1t+J4mT548ceLEVCqFYg0MDFRVVaFYnHPCGKOUogSffPJJJpMhhOBbHMdxu92zZ8/GiEzTVBRFkiQAf/7zn3O5HCEE3+Jyuf7+978fP36cEDI8PFxdXX3HHXdA6O/vf+WVVyoqKvL5/IUXXvijH/0on8/jrDmOc8EFF5x//vl/+ctfCCH4/hzH8fv9l156KYrFOSeMMUopysQ0TUVRJEnCmf3qV78Kh8MQVq5cuWHDBghr165tbW2FEI1GI5EIvqdTp06dPHly9OjRKBPOOWGMUUpRJqZpKooiSRLOrKurq66uDkJDQ0MsFoPQ1tbW0tICIRqNRiIRfE+WZdm2LcsyyoRzThhjlFKUyZEjR8aNG4cRdXV11dXVQWhubl63bh2Etra2lpYWCGvXrn3ooYfwPVmWZdu2LMsoE845YYxRSlGCDz/8sKOjA0W55ZZb9u7dyznHtziOM2PGjHvuuQdCV1dXXV0dhGuuueamm25yHIcQ8uMf/3j06NGEkHw+P2XKlOuuuw4jevbZZ19//XVCiOM4ixYtmjZtmmVZtm3Lsozvsnnz5r179xJCAGiaNmnSJJxrnHPCGKOUogQDAwMzZ85EUVpbW2Ox2Oeff47TLVmypLu7G0JXV1ddXR0KRCKRaDSKs7Z06dItW7ZA2LhxYygUsizLtm1ZlvFdAoFAJpOB0NvbO3fuXJxrnHPCGKOUogSGYaiqiqI88sgjnZ2dx48fx+k0TdN1HUJXV1ddXR0KRCKRaDSKsxYKhRKJBIRkMllbW2tZlm3bsizju8yfP/+5556DkE6n/X4/zjXOOWGMUUpRAsMwVFVFUVpbW9evX3/ixAmcTtM0XdchdHR0rF69GgUikUg0GsVZW7ZsWXd3NwRd1zVNsyzLtm1ZlvFd7rzzznQ6DaG3t3fu3Lk41zjnhDFGKUUJDMNQVRXCxIkT6+rqHMfB2bnsssuOHTs2NDRECHnjjTd6enogaJqm6zqE9957b/fu3YQQnO7TTz/95JNPADiOM2fOHJ/PB2H79u39/f2EEMdx5s+fr6oqhN27d7/33nuEEMdxpk+fPn78+MHBwS+//LK/v/+NN94ghDiOU1tbO3XqVAivvfbaoUOHCCEAqqqqxowZAyEejx84cIAQ4jhOQ0PDlVdeiWJxzsmxY8dGjx6NEhiGoaoqhNmzZ/f19eGsffTRR2PHjoXw1FNPLVmyBEJtbW0ymcSIWltb165dCyESiUSjUQjhcPhXv/oVhPb29jVr1uAMTpw4MTQ0VFdXt23bNgjd3d1LlizBiG655Zb/+Z//gfDqq69WV1ejWKdOnSKHDx++4IILUIIDBw5EIhEIN954Y0tLC/6BEIIRMcYuvPDC8847D8DAwEBXVxeEW2+99b/+67/wXQghEJ5//vmtW7dCWLBgwbx58yBs2bLlxRdfhLB8+fKamhoIhBD8g+M4ADjnw8PDPT09AwMDEFavXv2zn/0MAiEE/+A4Dv4hGo3+/ve/h9DW1jZx4kQU66uvviLvvffe+eefjxJ8/PHHzzzzDAS32z1v3jwIFRUVo0aNwoj++te/nn/++RUVFQDeeeednTt3Qpg0adLPf/5zFDhPgJDL5fr7+yGoqjpjxgwI/f39u3fvhuDz+aZMmQJh1KhRFRUVEL4Rvvrqq3w+39/fv2/fPgiBQOCaa66BIEmSy+WCMDQ0NDw8DGHr1q0HDx6EsGTJkrFjx6JYQ0ND5NixY6NHj0YJDMNQVRXCzJkz+/v7Iezfv7+rq4sQgjO74447brvtNgibNm3SNA3CsmXLUqkUCvT39z///POEEAAXX3zxJZdcAsBxnKlTp06aNAnCnj179u/fTwhxHGf69OlXXXUVhKeffvq1114jhDiOs3TpUo/Hc+LEiVOnTh08ePC9994jhDiOU11d7Xa7IWzatGnPnj2EEMdxwuHwpEmTIPz2t789evQoIcRxnDvuuINSimJ98cUXhDFGKUUJDMNQVRWCz+fLZrMQtm/fPm/ePIzo17/+9YoVKyCkUqlgMAhB0zRd11Fg3bp1Dz74IIRIJBKNRnHWli5dumXLFggbN24MhUKWZdm2LcsyvksgEMhkMhB6e3vnzp2Lc41zThhjlFKUwDAMVVUh+Hy+bDYLIZPJBAIBjEjXdU3TIKRSqWAwCEHTNF3XUSAWizU1NUGIRCLRaBRnLRQKJRIJCMlksra21rIs27ZlWcZ3mci4GA0AAAoQSURBVD9//nPPPQchnU77/X6ca5xzwhijlKIEhmGoqgrB5/Nls1kImUwmEAhgRLqua5oGIZVKBYNBCJqm6bqOArFYrKmpCcJDDz20du1anLVf/OIXv/71ryE89dRT9913n23bn3/+OaUU32XBggXPPPMMhHQ67ff7ca5xzgljjFKKEhiGoaoqBJ/Pl81mIWQymUAggBHpuq5pGoRUKhUMBiFomqbrOgrEYrGmpiYIV1999bXXXus4Dr7FcZz58+f7fD4ITz/9dH9/PxH27NljmiaEqVOnut3uMWPG/Pu///vEiRO9Xi8EXdfffPNNIrzxxhtHjx6FkE6n/X4/zjXOOWGMUUpRAsMwVFWF4PP5stkshEwmEwgEMCJd1zVNg5BKpYLBIARN03RdR4FYLNbU1IQRPfroow888ACEFStW6LqOM5g8efIVV1wxderU+++/H8Jdd93V29uLAul02u/341zjnBPGGKUUJTAMQ1VVCD6fL5vNQshkMoFAACPSdV3TNAipVCoYDELQNE3XdRRob29vbGzEiGKxWENDA4S6urquri6cgcfjcbvdU6ZMCYVCEBYuXLh161YUSKfTfr8f5xrnnDDGKKUogWEYqqpC8Pl82WwWQiaTCQQCGJGu65qmQUilUsFgEIKmabquo0B7e3tjYyNG1NHRUV9fD2HVqlUbNmzAGXg8HrfbPW3atNraWgiLFy/u6elBgZdeeun222/HucY5J4wxSilKYBiGqqoQfD5fNpuFkMlkAoEARqTruqZpEFKpVDAYhKBpmq7rEPr7+7ds2UIIAeB2u6+66ioAhJBMJtPb24sC11577YQJExzHIYS8/fbbBw8ehLBs2bLq6mrHcQghiUTitdde83g8EyZM2Ldv309+8hPHcQghb7311tGjRyGEw+Fp06Y5jgPg97//PWMMBSKRyFVXXYVicc4JY4xSihIYhqGqKgSfz5fNZiFkMplAIIAR6bquaRqEVCoVDAYhaJqm6zqEjo6O1atXQ1izZk17ezuExx9/vLm5GWdt8+bNS5cuhbBixQpd1z0eT2Vlpa7r+C7pdNrv90O44447Xn75ZRQYGBioqqpCsTjnhDFGKUUJDMNQVRWCz+fLZrMQMplMIBDAiHRd1zQNQiqVCgaDEDRN03UdQldXV11dHYSGhoZYLAahra2tpaUFZ03XdU3TIASDwVQq5fF4KisrdV3Hd9m2bdvdd98NIRAIZDIZFMjlcl6vF8XinBPGGKUUJTAMQ1VVCD6fL5vNQnjhhRfmzp2LEW3cuDEUCkFIpVLBYBCCpmm6rkPo7Oysr6+H0NDQEIvFILS1tbW0tOCsJZPJ2tpaCJqmbdq0yePxVFZW6rqO79Lb2zt37lwIc+bMeemll1Bg165dqqqiWJxzwhijlKIEhmGoqgrB5/Nls1kIjLG33nqLEIIzcByHUjp58uTzzjsPQCqVCgaDEDRN03UdwuHDh/fv3+9yuQC8//77+/btg1BZWXnNNdcAcLlczzzzzAsvvABh0aJFc+bMyefzLpcrmUzu3LkTwqRJky6//PJ8Pu9yuf7whz8cPXrU4/GMHz+eEOLz+fL5vMvl2rBhw+uvvw5h8uTJl112WT6fBzB9+nRZlnE6x3GmT59+4YUXolicc8IYo5SiBIZhqKoKwefzZbNZnLXDhw/LsixJEoBUKhUMBiFomqbrOgqsX7++oaEBQiQSiUajEB5++OGHHnoIwoYNG1auXAlh9erVHR0dOAOPx+N2uz0ez7JlyyAsXry4p6cHBV566aXbb78d5xrnnDDGKKUogWEYqqpC8Pl82WwWZ800zTFjxowaNQpAKpUKBoMQNE3TdR0F2tvbGxsbIUQikWg0CqGlpaWtrQ1CLBZraGiAUFdX19XVhTPweDxut3vKlCmhUAjCwoULt27digLpdNrv9+Nc45wTxhilFCUwDENVVQg1NTU7duzAWTt06NDYsWMrKioAdHd3L1u2DIKmabquo0B7e3tjYyOESCQSjUYhrF27trW1FUJ7e/uaNWsgrFy5Mh6P4ww8Ho/b7b7pppuWL18OYdGiRU8//TQKvPjii3fccQfONc45YYxRSlECwzBUVYVw0UUXTZ48GYDjODgLgUBgYGDg5MmTLpfr448/PnDgAARN03Rdh7Bjxw5d1wkhAK699tqbbroJwttvv713714ALpfrgw8+ME0TwoQJE9xudz6fd7lc77777tGjR3EGHo/nP/7jP3bv3j1u3Lh8Pu9yufbt2/fpp5+iwPXXX3/xxRfn83l8i+M4jz766DXXXINicc4JY4xSihIYhqGqKorS2tq6fv36EydO4HSapum6DmHDhg2rVq2CsGbNmvb2dghtbW0tLS0ogcfjqays1HUdxRoYGKiqqkKxOOeEMUYpRQkMw1BVFUV55JFHOjs7jx8/jtNpmqbrOoSurq66ujoIDQ0NsVgMQltbW0tLC0rg8XgqKyt1XUexcrmc1+tFsTjnhDFGKUUJcrlcVVUVihKNRp988knLsnC62traZDIJobOzs76+HsKqVauefPJJCA8//PBDDz2EEkydOnXixImbNm1CsXbt2qWqKorFOSeMMUopSmBZ1v79+1GUH/zgB19//bXjODjdJZdcMn78eAiffPLJwYMHIVx22WVutxvC0aNHjxw5ghJUVFS4XK6hoSEUa9KkSRdccAGKxTknjDFKKcrkyJEj48aNQ5lwzk+ePEkpRZlwzgljjFKKMjFNU1EUSZJQDpZl2bYtyzLKhHNOGGOUUpSJaZqKokiShHKwLMu2bVmWUSacc8IYo5SiTEzTVBRFkiSUg2VZtm3Lsowy4ZwTxhilFGVimqaiKJIkoRwsy7JtW5ZllAnnnDDGKKUoE9M0FUWRJAnlYFmWbduyLKNMOOeEMUYpRZmYpqkoiiRJKAfLsmzblmUZZcI5J4wxSinKxDRNRVEkSUI5WJZl27YsyygTzjlhjFFKUSamaSqKIkkSysGyLNu2ZVlGmXDOCWOMUooyMU1TURRJklAOlmXZti3LMsqEc04YY5RSlIlpmoqiSJKEcrAsy7ZtWZZRJpxzwhijlKJMTNNUFEWSJJSDZVm2bcuyjDLhnBPGGKUUZWKapqIokiShHCzLsm1blmWUCeecMMYopSgT0zQVRZEkCeVgWZZt27Iso0w454QxRilFmZimqSiKJEkoB8uybNuWZRllwjknjDFKKcrENE1FUSRJQjlYlmXbtizLKBPOOWGMUUpRJqZpKooiSRLKwbIs27ZlWUaZcM4JY4xSijIxTVNRFEmSUA6WZdm2LcsyyoRzThhjlFKUiWmaiqJIkoRysCzLtm1ZllEmnHNy7Nix0aNHo0xM0xwzZsyoUaNQDoODg59//rksyyiTU6dOkaNHj/7oRz9Cmfzv//4vpXTUqFEoh88///zUqVM//vGPUSZffPHF/wPMskeHXT0bNAAAAABJRU5ErkJggg==)