05_autoregressive_02_pixelcnn_pixelcnn.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "id": "206a93a2-e9b0-4ea2-a43f-696faa83ea03",
      "metadata": {
        "id": "206a93a2-e9b0-4ea2-a43f-696faa83ea03"
      },
      "source": [
        "# 👾 PixelCNN from scratch"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "1af9e216-7e84-4f5b-a2db-26aca3bea464",
      "metadata": {
        "id": "1af9e216-7e84-4f5b-a2db-26aca3bea464"
      },
      "source": [
        "In this notebook, we'll walk through the steps required to train your own PixelCNN on the fashion MNIST dataset from scratch"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "9c1e6bbc-6f3b-48ac-a4f3-fde6f739f0ca",
      "metadata": {
        "id": "9c1e6bbc-6f3b-48ac-a4f3-fde6f739f0ca"
      },
      "source": [
        "The code has been adapted from the excellent [PixelCNN tutorial](https://keras.io/examples/generative/pixelcnn/) created by ADMoreau, available on the Keras website."
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/KouichiMatsuda/GDL2/blob/main/05_autoregressive_02_pixelcnn_pixelcnn.ipynb)"
      ],
      "metadata": {
        "id": "9f99DeQDWtcT"
      },
      "id": "9f99DeQDWtcT"
    },
    {
      "cell_type": "code",
      "source": [
        "! mkdir notebooks\n",
        "%cd notebooks\n",
        "! wget https://raw.githubusercontent.com/davidADSP/Generative_Deep_Learning_2nd_Edition/main/notebooks/utils.py\n",
        "%cd .."
      ],
      "metadata": {
        "id": "nMrme6eXVcql",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1211154c-9429-4f92-9dca-4351df2ca8b3"
      },
      "id": "nMrme6eXVcql",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/notebooks\n",
            "--2024-06-02 09:48:32--  https://raw.githubusercontent.com/davidADSP/Generative_Deep_Learning_2nd_Edition/main/notebooks/utils.py\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.109.133, 185.199.110.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 771 [text/plain]\n",
            "Saving to: ‘utils.py’\n",
            "\n",
            "utils.py            100%[===================>]     771  --.-KB/s    in 0s      \n",
            "\n",
            "2024-06-02 09:48:33 (43.3 MB/s) - ‘utils.py’ saved [771/771]\n",
            "\n",
            "/content\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "6acebfa8-4546-41fd-adaa-2307c65b1b8e",
      "metadata": {
        "id": "6acebfa8-4546-41fd-adaa-2307c65b1b8e"
      },
      "outputs": [],
      "source": [
        "%load_ext autoreload\n",
        "%autoreload 2\n",
        "import numpy as np\n",
        "\n",
        "import tensorflow as tf\n",
        "from tensorflow.keras import datasets, layers, models, optimizers, callbacks\n",
        "\n",
        "from notebooks.utils import display"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8543166d-f4c7-43f8-a452-21ccbf2a0496",
      "metadata": {
        "id": "8543166d-f4c7-43f8-a452-21ccbf2a0496"
      },
      "source": [
        "## 0. Parameters <a name=\"parameters\"></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "444d84de-2843-40d6-8e2e-93691a5393ab",
      "metadata": {
        "id": "444d84de-2843-40d6-8e2e-93691a5393ab"
      },
      "outputs": [],
      "source": [
        "IMAGE_SIZE = 16\n",
        "PIXEL_LEVELS = 4\n",
        "N_FILTERS = 128\n",
        "RESIDUAL_BLOCKS = 5\n",
        "BATCH_SIZE = 128\n",
        "EPOCHS = 150"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "d65dac68-d20b-4ed9-a136-eed57095ce4f",
      "metadata": {
        "id": "d65dac68-d20b-4ed9-a136-eed57095ce4f"
      },
      "source": [
        "## 1. Prepare the data <a name=\"prepare\"></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "0ed0fc56-d1b0-4d42-b029-f4198f78e666",
      "metadata": {
        "id": "0ed0fc56-d1b0-4d42-b029-f4198f78e666",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "da7d4835-566f-463c-89db-70e58d5955d4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-labels-idx1-ubyte.gz\n",
            "29515/29515 [==============================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/train-images-idx3-ubyte.gz\n",
            "26421880/26421880 [==============================] - 2s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-labels-idx1-ubyte.gz\n",
            "5148/5148 [==============================] - 0s 0us/step\n",
            "Downloading data from https://storage.googleapis.com/tensorflow/tf-keras-datasets/t10k-images-idx3-ubyte.gz\n",
            "4422102/4422102 [==============================] - 1s 0us/step\n"
          ]
        }
      ],
      "source": [
        "# Load the data\n",
        "(x_train, _), (_, _) = datasets.fashion_mnist.load_data()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 5,
      "id": "b667e78c-8fa7-4e5b-a2c0-69e50166ef77",
      "metadata": {
        "id": "b667e78c-8fa7-4e5b-a2c0-69e50166ef77"
      },
      "outputs": [],
      "source": [
        "# Preprocess the data\n",
        "def preprocess(imgs_int):\n",
        "    imgs_int = np.expand_dims(imgs_int, -1)\n",
        "    imgs_int = tf.image.resize(imgs_int, (IMAGE_SIZE, IMAGE_SIZE)).numpy()\n",
        "    imgs_int = (imgs_int / (256 / PIXEL_LEVELS)).astype(int)\n",
        "    imgs = imgs_int.astype(\"float32\")\n",
        "    imgs = imgs / PIXEL_LEVELS\n",
        "    return imgs, imgs_int\n",
        "\n",
        "\n",
        "input_data, output_data = preprocess(x_train)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "id": "e3c2b304-8385-4931-8291-9b7cc462c95e",
      "metadata": {
        "id": "e3c2b304-8385-4931-8291-9b7cc462c95e",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 91
        },
        "outputId": "3f70d6d5-4fdc-4643-bdd2-8c1e14a5a7ff"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
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          },
          "metadata": {}
        }
      ],
      "source": [
        "# Show some items of clothing from the training set\n",
        "display(input_data)"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5ccd5cb2-8c7b-4667-8adb-4902f3fa60cf",
      "metadata": {
        "id": "5ccd5cb2-8c7b-4667-8adb-4902f3fa60cf"
      },
      "source": [
        "## 2. Build the PixelCNN"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 7,
      "id": "847050a5-e4e6-4134-9bfc-c690cb8cb44d",
      "metadata": {
        "id": "847050a5-e4e6-4134-9bfc-c690cb8cb44d"
      },
      "outputs": [],
      "source": [
        "# The first layer is the PixelCNN layer. This layer simply\n",
        "# builds on the 2D convolutional layer, but includes masking.\n",
        "class MaskedConv2D(layers.Layer):\n",
        "    def __init__(self, mask_type, **kwargs):\n",
        "        super(MaskedConv2D, self).__init__()\n",
        "        self.mask_type = mask_type\n",
        "        self.conv = layers.Conv2D(**kwargs)\n",
        "\n",
        "    def build(self, input_shape):\n",
        "        # Build the conv2d layer to initialize kernel variables\n",
        "        self.conv.build(input_shape)\n",
        "        # Use the initialized kernel to create the mask\n",
        "        kernel_shape = self.conv.kernel.get_shape()\n",
        "        self.mask = np.zeros(shape=kernel_shape)\n",
        "        self.mask[: kernel_shape[0] // 2, ...] = 1.0\n",
        "        self.mask[kernel_shape[0] // 2, : kernel_shape[1] // 2, ...] = 1.0\n",
        "        if self.mask_type == \"B\":\n",
        "            self.mask[kernel_shape[0] // 2, kernel_shape[1] // 2, ...] = 1.0\n",
        "\n",
        "    def call(self, inputs):\n",
        "        self.conv.kernel.assign(self.conv.kernel * self.mask)\n",
        "        return self.conv(inputs)\n",
        "\n",
        "    def get_config(self):\n",
        "        cfg = super().get_config()\n",
        "        return cfg"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "a52f7795-790e-47b0-b724-80be3e3c3666",
      "metadata": {
        "id": "a52f7795-790e-47b0-b724-80be3e3c3666"
      },
      "outputs": [],
      "source": [
        "class ResidualBlock(layers.Layer):\n",
        "    def __init__(self, filters, **kwargs):\n",
        "        super(ResidualBlock, self).__init__(**kwargs)\n",
        "        self.conv1 = layers.Conv2D(\n",
        "            filters=filters // 2, kernel_size=1, activation=\"relu\"\n",
        "        )\n",
        "        self.pixel_conv = MaskedConv2D(\n",
        "            mask_type=\"B\",\n",
        "            filters=filters // 2,\n",
        "            kernel_size=3,\n",
        "            activation=\"relu\",\n",
        "            padding=\"same\",\n",
        "        )\n",
        "        self.conv2 = layers.Conv2D(\n",
        "            filters=filters, kernel_size=1, activation=\"relu\"\n",
        "        )\n",
        "\n",
        "    def call(self, inputs):\n",
        "        x = self.conv1(inputs)\n",
        "        x = self.pixel_conv(x)\n",
        "        x = self.conv2(x)\n",
        "        return layers.add([inputs, x])\n",
        "\n",
        "    def get_config(self):\n",
        "        cfg = super().get_config()\n",
        "        return cfg"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 9,
      "id": "19b4508f-84de-42a9-a77f-950fb493db13",
      "metadata": {
        "id": "19b4508f-84de-42a9-a77f-950fb493db13",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dad33a2a-ea05-42c7-cb8d-4dc19fb925a0"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"model\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " input_1 (InputLayer)        [(None, 16, 16, 1)]       0         \n",
            "                                                                 \n",
            " masked_conv2d (MaskedConv2  (None, 16, 16, 128)       6400      \n",
            " D)                                                              \n",
            "                                                                 \n",
            " residual_block (ResidualBl  (None, 16, 16, 128)       53504     \n",
            " ock)                                                            \n",
            "                                                                 \n",
            " residual_block_1 (Residual  (None, 16, 16, 128)       53504     \n",
            " Block)                                                          \n",
            "                                                                 \n",
            " residual_block_2 (Residual  (None, 16, 16, 128)       53504     \n",
            " Block)                                                          \n",
            "                                                                 \n",
            " residual_block_3 (Residual  (None, 16, 16, 128)       53504     \n",
            " Block)                                                          \n",
            "                                                                 \n",
            " residual_block_4 (Residual  (None, 16, 16, 128)       53504     \n",
            " Block)                                                          \n",
            "                                                                 \n",
            " masked_conv2d_6 (MaskedCon  (None, 16, 16, 128)       16512     \n",
            " v2D)                                                            \n",
            "                                                                 \n",
            " masked_conv2d_7 (MaskedCon  (None, 16, 16, 128)       16512     \n",
            " v2D)                                                            \n",
            "                                                                 \n",
            " conv2d_18 (Conv2D)          (None, 16, 16, 4)         516       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 307460 (1.17 MB)\n",
            "Trainable params: 307460 (1.17 MB)\n",
            "Non-trainable params: 0 (0.00 Byte)\n",
            "_________________________________________________________________\n"
          ]
        }
      ],
      "source": [
        "inputs = layers.Input(shape=(IMAGE_SIZE, IMAGE_SIZE, 1))\n",
        "x = MaskedConv2D(\n",
        "    mask_type=\"A\",\n",
        "    filters=N_FILTERS,\n",
        "    kernel_size=7,\n",
        "    activation=\"relu\",\n",
        "    padding=\"same\",\n",
        ")(inputs)\n",
        "\n",
        "for _ in range(RESIDUAL_BLOCKS):\n",
        "    x = ResidualBlock(filters=N_FILTERS)(x)\n",
        "\n",
        "for _ in range(2):\n",
        "    x = MaskedConv2D(\n",
        "        mask_type=\"B\",\n",
        "        filters=N_FILTERS,\n",
        "        kernel_size=1,\n",
        "        strides=1,\n",
        "        activation=\"relu\",\n",
        "        padding=\"valid\",\n",
        "    )(x)\n",
        "\n",
        "out = layers.Conv2D(\n",
        "    filters=PIXEL_LEVELS,\n",
        "    kernel_size=1,\n",
        "    strides=1,\n",
        "    activation=\"softmax\",\n",
        "    padding=\"valid\",\n",
        ")(x)\n",
        "\n",
        "pixel_cnn = models.Model(inputs, out)\n",
        "pixel_cnn.summary()"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "442b5ffa-67a3-4b15-a342-eb1eed5e87ac",
      "metadata": {
        "id": "442b5ffa-67a3-4b15-a342-eb1eed5e87ac"
      },
      "source": [
        "## 3. Train the PixelCNN <a name=\"train\"></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "id": "7204789a-2ad3-48bf-b7e8-00d4cab10d9c",
      "metadata": {
        "id": "7204789a-2ad3-48bf-b7e8-00d4cab10d9c"
      },
      "outputs": [],
      "source": [
        "adam = optimizers.Adam(learning_rate=0.0005)\n",
        "pixel_cnn.compile(optimizer=adam, loss=\"sparse_categorical_crossentropy\")"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!mkdir logs\n",
        "!mkdir output"
      ],
      "metadata": {
        "id": "W-mIH95qWCus"
      },
      "id": "W-mIH95qWCus",
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 12,
      "id": "09d327fc-aff8-40e6-b390-d1bff4c06ea6",
      "metadata": {
        "id": "09d327fc-aff8-40e6-b390-d1bff4c06ea6"
      },
      "outputs": [],
      "source": [
        "tensorboard_callback = callbacks.TensorBoard(log_dir=\"./logs\")\n",
        "\n",
        "\n",
        "class ImageGenerator(callbacks.Callback):\n",
        "    def __init__(self, num_img):\n",
        "        self.num_img = num_img\n",
        "\n",
        "    def sample_from(self, probs, temperature):  # <2>\n",
        "        probs = probs ** (1 / temperature)\n",
        "        probs = probs / np.sum(probs)\n",
        "        return np.random.choice(len(probs), p=probs)\n",
        "\n",
        "    def generate(self, temperature):\n",
        "        generated_images = np.zeros(\n",
        "            shape=(self.num_img,) + (pixel_cnn.input_shape)[1:]\n",
        "        )\n",
        "        batch, rows, cols, channels = generated_images.shape\n",
        "\n",
        "        for row in range(rows):\n",
        "            for col in range(cols):\n",
        "                for channel in range(channels):\n",
        "                    probs = self.model.predict(generated_images, verbose=0)[\n",
        "                        :, row, col, :\n",
        "                    ]\n",
        "                    generated_images[:, row, col, channel] = [\n",
        "                        self.sample_from(x, temperature) for x in probs\n",
        "                    ]\n",
        "                    generated_images[:, row, col, channel] /= PIXEL_LEVELS\n",
        "\n",
        "        return generated_images\n",
        "\n",
        "    def on_epoch_end(self, epoch, logs=None):\n",
        "        generated_images = self.generate(temperature=1.0)\n",
        "        display(\n",
        "            generated_images,\n",
        "            save_to=\"./output/generated_img_%03d.png\" % (epoch),\n",
        "        )\n",
        "\n",
        "\n",
        "img_generator_callback = ImageGenerator(num_img=10)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 13,
      "id": "85231056-d4a4-4897-ab91-065325a18d93",
      "metadata": {
        "tags": [],
        "id": "85231056-d4a4-4897-ab91-065325a18d93",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "50c59c43-4bc0-4139-8af2-ff5ce79d1704"
      },
      "outputs": [
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Epoch 1/150\n",
            "  6/469 [..............................] - ETA: 5s - loss: 1.3592     "
          ]
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0107s vs `on_train_batch_end` time: 0.0174s). Check your callbacks.\n"
          ]
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - ETA: 0s - loss: 0.4972\n",
            "Saved to ./output/generated_img_000.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 35s 55ms/step - loss: 0.4972\n",
            "Epoch 2/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.4005\n",
            "Saved to ./output/generated_img_001.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.4004\n",
            "Epoch 3/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3874\n",
            "Saved to ./output/generated_img_002.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3875\n",
            "Epoch 4/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3814\n",
            "Saved to ./output/generated_img_003.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 51ms/step - loss: 0.3813\n",
            "Epoch 5/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3768\n",
            "Saved to ./output/generated_img_004.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3767\n",
            "Epoch 6/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3732\n",
            "Saved to ./output/generated_img_005.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3732\n",
            "Epoch 7/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3698\n",
            "Saved to ./output/generated_img_006.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 51ms/step - loss: 0.3698\n",
            "Epoch 8/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3671\n",
            "Saved to ./output/generated_img_007.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3672\n",
            "Epoch 9/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3650\n",
            "Saved to ./output/generated_img_008.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3650\n",
            "Epoch 10/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3628\n",
            "Saved to ./output/generated_img_009.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3628\n",
            "Epoch 11/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3608\n",
            "Saved to ./output/generated_img_010.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3607\n",
            "Epoch 12/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3584\n",
            "Saved to ./output/generated_img_011.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3585\n",
            "Epoch 13/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3569\n",
            "Saved to ./output/generated_img_012.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3569\n",
            "Epoch 14/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3558\n",
            "Saved to ./output/generated_img_013.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3558\n",
            "Epoch 15/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3541\n",
            "Saved to ./output/generated_img_014.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3541\n",
            "Epoch 16/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3529\n",
            "Saved to ./output/generated_img_015.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3529\n",
            "Epoch 17/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3519\n",
            "Saved to ./output/generated_img_016.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3519\n",
            "Epoch 18/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3508\n",
            "Saved to ./output/generated_img_017.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3507\n",
            "Epoch 19/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3496\n",
            "Saved to ./output/generated_img_018.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3495\n",
            "Epoch 20/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3490\n",
            "Saved to ./output/generated_img_019.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3490\n",
            "Epoch 21/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3481\n",
            "Saved to ./output/generated_img_020.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3481\n",
            "Epoch 22/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3474\n",
            "Saved to ./output/generated_img_021.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3474\n",
            "Epoch 23/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3464\n",
            "Saved to ./output/generated_img_022.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3465\n",
            "Epoch 24/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3458\n",
            "Saved to ./output/generated_img_023.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3458\n",
            "Epoch 25/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3451\n",
            "Saved to ./output/generated_img_024.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3451\n",
            "Epoch 26/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3446\n",
            "Saved to ./output/generated_img_025.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3446\n",
            "Epoch 27/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3440\n",
            "Saved to ./output/generated_img_026.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3440\n",
            "Epoch 28/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3435\n",
            "Saved to ./output/generated_img_027.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 54ms/step - loss: 0.3435\n",
            "Epoch 29/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3431\n",
            "Saved to ./output/generated_img_028.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3431\n",
            "Epoch 30/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3424\n",
            "Saved to ./output/generated_img_029.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3424\n",
            "Epoch 31/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3418\n",
            "Saved to ./output/generated_img_030.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3418\n",
            "Epoch 32/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3416\n",
            "Saved to ./output/generated_img_031.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 24s 52ms/step - loss: 0.3416\n",
            "Epoch 33/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3410\n",
            "Saved to ./output/generated_img_032.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3410\n",
            "Epoch 34/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3403\n",
            "Saved to ./output/generated_img_033.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3403\n",
            "Epoch 35/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3401\n",
            "Saved to ./output/generated_img_034.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3401\n",
            "Epoch 36/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3398\n",
            "Saved to ./output/generated_img_035.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3399\n",
            "Epoch 37/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3396\n",
            "Saved to ./output/generated_img_036.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3396\n",
            "Epoch 38/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3389\n",
            "Saved to ./output/generated_img_037.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3389\n",
            "Epoch 39/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3389\n",
            "Saved to ./output/generated_img_038.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3389\n",
            "Epoch 40/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3384\n",
            "Saved to ./output/generated_img_039.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3385\n",
            "Epoch 41/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3379\n",
            "Saved to ./output/generated_img_040.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3379\n",
            "Epoch 42/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3377\n",
            "Saved to ./output/generated_img_041.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3377\n",
            "Epoch 43/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3373\n",
            "Saved to ./output/generated_img_042.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3374\n",
            "Epoch 44/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3370\n",
            "Saved to ./output/generated_img_043.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3370\n",
            "Epoch 45/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3368\n",
            "Saved to ./output/generated_img_044.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3368\n",
            "Epoch 46/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3365\n",
            "Saved to ./output/generated_img_045.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3365\n",
            "Epoch 47/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3363\n",
            "Saved to ./output/generated_img_046.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3364\n",
            "Epoch 48/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3361\n",
            "Saved to ./output/generated_img_047.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3361\n",
            "Epoch 49/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3355\n",
            "Saved to ./output/generated_img_048.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3356\n",
            "Epoch 50/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3357\n",
            "Saved to ./output/generated_img_049.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3357\n",
            "Epoch 51/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3354\n",
            "Saved to ./output/generated_img_050.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3354\n",
            "Epoch 52/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3350\n",
            "Saved to ./output/generated_img_051.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3350\n",
            "Epoch 53/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3347\n",
            "Saved to ./output/generated_img_052.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3347\n",
            "Epoch 54/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3347\n",
            "Saved to ./output/generated_img_053.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3346\n",
            "Epoch 55/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3344\n",
            "Saved to ./output/generated_img_054.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3344\n",
            "Epoch 56/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3341\n",
            "Saved to ./output/generated_img_055.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3341\n",
            "Epoch 57/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3339\n",
            "Saved to ./output/generated_img_056.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3339\n",
            "Epoch 58/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3337\n",
            "Saved to ./output/generated_img_057.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3337\n",
            "Epoch 59/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3335\n",
            "Saved to ./output/generated_img_058.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3335\n",
            "Epoch 60/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3333\n",
            "Saved to ./output/generated_img_059.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3333\n",
            "Epoch 61/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3332\n",
            "Saved to ./output/generated_img_060.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3331\n",
            "Epoch 62/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3330\n",
            "Saved to ./output/generated_img_061.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3330\n",
            "Epoch 63/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3328\n",
            "Saved to ./output/generated_img_062.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3327\n",
            "Epoch 64/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3325\n",
            "Saved to ./output/generated_img_063.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3325\n",
            "Epoch 65/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3325\n",
            "Saved to ./output/generated_img_064.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3325\n",
            "Epoch 66/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3323\n",
            "Saved to ./output/generated_img_065.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3323\n",
            "Epoch 67/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3319\n",
            "Saved to ./output/generated_img_066.png\n"
          ]
        },
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAKjElEQVR4nO3b0RKrKhIF0DiVX4SPlI9kHs7DVN06I+ZCI+parySxRWw1u9xqrfUDAAAAAAAw2H+uLgAAAAAAAHgmIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABAiO/VBcDT5ZybnymlhNZQaw39fYAZRvTKlNKASriT1nW4ta5aayb6Gv75fD77vh+OW9f30lozrfHWeoBV9fZbgGgznjc803CFEeuu9x7VmxAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEGKrtdari+A3pZSu8X3fR5bzeq35zjlPqqSPVgBcrdUvW/32jJRS6Di/6b2nmVHDDDPWlfu/dbTWnD7Dis4800SvbX2M2c7cI+jZzzLi/5veXnhm3fn/hl+11vaIXtb6DW9CAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDie3UB/C6l1DXOWDnnq0sA4KRSStf3XWN/05rv3uMxwluOaet+Zd/3SZXQ68x585Z1zTgjnmmi1521/y4j7hGsB/6p1etm3JuucP8L/zTjGutNCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQ36sLgNXlnK8uYYpt2w7H930/HE8pjSwHeKFSytUlLFED/OrMunWdfg7Hkn/D9e0+3tLTW/s5Ys3OWPdPOBZv0loTI46nfssVWv9drtCrvAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQIjv1QXA6kopV5ewhJzz4XitdVIlANyFa+g55umcM/OUUppQSZ871Mjz6DPztOa6NX6mR7Sezd7CuuZXrsHvM6LnPsGIftk7V96EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACDE9+oC4O5SSofjpZRJlcA6tm1rfqbWejjeOndGnHut3+B93rQmcs6H4/u+h9cw4zxvWeGY99bwlnuNM/vZWteta88Mvese/qa19p/gLvd2evofKzwnr7AemKu1rp5y7/gUZ45H7zGdcbxm9P3WNlrPbjPOjRZvQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQ4nt1ASPlnLt/I6XUNT5Caz/2fT8c37btcPzMPqwwD6tozXdLKWVQJdeqtV5dAhO1+tCIdd36jVafecq5BVd507V8db398C1G9P3e++Qz94Wta2hrGyOeaXp5FljLCmviLvTTdfT2bPf6c52Z79Znev87OWPGc2qLtfk/rbnovSc6s43e7484nr3Xlhnnzoj/V3r305sQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACG2WmudsaFSSvdnUkpd4yNqmKG1Hy0z9mHf9/Bt3EVrvnPOkyrp01p3jvk6WmtuRr9t6f3+Kp6yH6u4Q798Uy+M7gOfzxrH9A3O9P3W2r1Dv9u27eoSTomey7s8rzypX/aaccx6tzGixhX6SO9/BjO4No7Tu25HrIc39bre59ARc9V7/szoATN6/iq9boV7kpYVrsGT/no/NOJ/pN5z2JsQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIT4ztpQSmnIZ46UUrq+f6aG3hpzzs3PtPZj3/eu75/Ru59vcuaY8h4jzr/Wmmr1gDN6z/ERPaL1GzPOrRFzybO0zuFt27q30Vp3q1yDZ/QixlhlzfQacQ1dwVP248iT9nHEvvT+xoxzuFXjiOfgJ62LSK3r54x74N71sIroZ5o7relWrb3/M43gv5NxVjmHV/gft2XGXNzhuSj6/+4zvAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQIjv1QWMlFK6uoSmfd8fsQ3g70op3b/R6mUjttH6jd4a9CH4/3rPv1Fa22mNb9vW3Eat9XC8NRcj5mpEz7zaiDVxh/tkWNGMHpJzPhxfoQc8oZfCPz1pXc84x1e5h13djHl4ylw/ZT84x5sQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIT4Xl0AvyulhG8jpRS+jbuYMd8reMt+9mrN05lzp/UbvcfiTA37vnfVcIcecac1fadae7xlP1ueMg+11uZncs6hNYz4/Tv0s5Yn7MPn85z94F5a6866hPua8UzzhOems97wDHnGU+7lYTZvQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACE+F5dAL9LKV1dArzWiPPvDufwCjXu+351CdPMmO9SSvg2ot1hns7U+IRj8fmM2Y/Wb7Tmc4VeNUPvPD1FrbX5maecX6vLOV9dAtzWjD6lF85zl2vwCnXeYV2+5XkfruBNCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCfK8uAFaXc766BIBuKaWu75dSusbPaNXYO/75tHt69Dx9Pp/Pvu9d21jFmbnqnU8YrbdXWdN/mAf490bcM0VbocYV+swK83AnM46ZYwL35U0IAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEJstdZ6dRGwsm3bri5hCfu+H46nlCZVAgDwdznnw/FSyqRK8JgJf9fqU2foZX/0PoOOmEe9DuAcb0IAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOJ7dQEAAAAA8ItSyuF4SulwvNY6shwADngTAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACDE9+oCAAAAAABgNaWUw/GU0qRK7s2bEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACE2Gqt9eoiAAAAAACA5/EmBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDiv06L0VmuAJtfAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3320\n",
            "Epoch 68/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3318\n",
            "Saved to ./output/generated_img_067.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3318\n",
            "Epoch 69/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3318\n",
            "Saved to ./output/generated_img_068.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3318\n",
            "Epoch 70/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3315\n",
            "Saved to ./output/generated_img_069.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3315\n",
            "Epoch 71/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3314\n",
            "Saved to ./output/generated_img_070.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3314\n",
            "Epoch 72/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3312\n",
            "Saved to ./output/generated_img_071.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3313\n",
            "Epoch 73/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3311\n",
            "Saved to ./output/generated_img_072.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3311\n",
            "Epoch 74/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3309\n",
            "Saved to ./output/generated_img_073.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3310\n",
            "Epoch 75/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3306\n",
            "Saved to ./output/generated_img_074.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 55ms/step - loss: 0.3306\n",
            "Epoch 76/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3306\n",
            "Saved to ./output/generated_img_075.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 26s 56ms/step - loss: 0.3306\n",
            "Epoch 77/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3306\n",
            "Saved to ./output/generated_img_076.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3306\n",
            "Epoch 78/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3302\n",
            "Saved to ./output/generated_img_077.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3302\n",
            "Epoch 79/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3302\n",
            "Saved to ./output/generated_img_078.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3302\n",
            "Epoch 80/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3301\n",
            "Saved to ./output/generated_img_079.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3301\n",
            "Epoch 81/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3298\n",
            "Saved to ./output/generated_img_080.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3298\n",
            "Epoch 82/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3297\n",
            "Saved to ./output/generated_img_081.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3297\n",
            "Epoch 83/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3296\n",
            "Saved to ./output/generated_img_082.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 59ms/step - loss: 0.3296\n",
            "Epoch 84/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3294\n",
            "Saved to ./output/generated_img_083.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3294\n",
            "Epoch 85/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3296\n",
            "Saved to ./output/generated_img_084.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3295\n",
            "Epoch 86/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3291\n",
            "Saved to ./output/generated_img_085.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3291\n",
            "Epoch 87/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3290\n",
            "Saved to ./output/generated_img_086.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3290\n",
            "Epoch 88/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3291\n",
            "Saved to ./output/generated_img_087.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3291\n",
            "Epoch 89/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3287\n",
            "Saved to ./output/generated_img_088.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3288\n",
            "Epoch 90/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3288\n",
            "Saved to ./output/generated_img_089.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3288\n",
            "Epoch 91/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3286\n",
            "Saved to ./output/generated_img_090.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3285\n",
            "Epoch 92/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3286\n",
            "Saved to ./output/generated_img_091.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 52ms/step - loss: 0.3286\n",
            "Epoch 93/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3284\n",
            "Saved to ./output/generated_img_092.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 28s 59ms/step - loss: 0.3284\n",
            "Epoch 94/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3281\n",
            "Saved to ./output/generated_img_093.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3281\n",
            "Epoch 95/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3282\n",
            "Saved to ./output/generated_img_094.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3282\n",
            "Epoch 96/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3281\n",
            "Saved to ./output/generated_img_095.png\n"
          ]
        },
        {
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAALKElEQVR4nO3bUZKjvBUGUJPyFsV2xr0dtEjy0JVKZlI/Vz3SBWGf8yo3XCQhRH/Fsu/7/gAAAAAAABjsX1cXAAAAAAAAvCchBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAECK59UF8HO11qtLeJRSri4BAAD4C73vE94F7meGd8iohhHzytxs83q9Dtu/vr7CY/z69avrGPu+h+cA4Ns77N18CQEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKZZ93/eri+B367oetm/bdlIlAADA3WS/T9Raw9+UUrrOwc9EY9I7Hi1jHjEn3suyLIft/tXEn6JnU4t3WOv8T48/tcy73rk5w7zzJQQAAAAAAJBCCAEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKZ5XFzBSrfXyY5RSuo8f/WZd18P2bdvCcwAA3F20J2ph38Q7yp7X0TsP78eY86d9368ugZu5w56r5X92vethdA7r7f0Y0za+hAAAAAAAAFIIIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABI8by6gJ+otR62r+t6UiX/LKrxjHNE/bBt28hyAP5K73pZShlUCTCraE8zYt+1LEv3MbKNWO/s/95Hy7z3jLyXaEyNZzt9eR+v16urHf5GtLe0RpBhxDtLNDejc8zwfPQlBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAApnlcXwHi11qtLAAit65p6/G3bwt+UUlJrOMuyLOnniPqqpb+zjeiHfd8HVEKraM8Stbfcw3fYF/WuRS3XOKIvgRwj7j/3MP/r9Xp1tY84B1wheh+I1sqWd9ToGFF77/738Zjj3Yv/6h3zM2qYgS8hAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACCFEAIAAAAAAEjxvLqAM5VSri7hFLXWq0vgZNGYt8yJbdtGlUOyEeMdrYdnrJfRnFvXNb2GWdxh3b5DjS3zNrqOZVkO2/d9/1FN5JphXs6wvxwx92e4Dr5Fzz97ts8zYm/HZ/n6+jpsf71eXe0tzjgH/NSIveOI9/EjnvNkmGGf4EsIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACCFEAIAAAAAAEghhAAAAAAAAFI8ry7gTNu2XV3CKZZlOWyvtYbHKKWMKocTtIzp1cy7duu6HraPWMui8ThjLKJz7PueXsMsor6Y4R6f4f6M7o0ZaviUvcYoM4xp7/3n+cZo0Tpizn0eY34vr9fr6hJCUY1fX1/hMXr36i3niNyhrxkr2jve4b0qYs3nXfkSAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACDF8+oCRtq27eoSphD1QynlpEoYZVmWw/YRY9p7jk+ZV+u6Xl3CKTVE54jGu9baXcOIY0RmWS97r7Xl+Zc9b1quofc6z5h3kTPO8U6yx/xT6If3Et0XI/Zc0b5u3/fwGMzDs+deXq/X1SV019Dy973nsA5xhTPeJ2Z4Z+Hz9O4vz+BLCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSPK8u4CdKKVeXcAv6aS611vA367oetkdjGp2jZU70zpvoGrZt6zr+WaK+nOE6lmU5bD9jvEccv3fe9t4XdzLiWrL7q+Xve+fdiLVuhnMwzhnj0bsWtXin9epqUV/27lfeZZ3p3Xu2sF6Ooy+Z0ev1uroE3kz0bGoxwzM2Eu017At/5g5jzjdfQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQYtn3fb+6CJhZrbWr/Ywatm3r+vsRNZRSumu4w3LU2w9n1NDS12fM26u1jEX0mzPG8/GIx2Nd18P2aA1oOQdjtIzFJ4nm7gzPt0/xKXNzWZbD9hn2GjPsLc96vs1ew11Ea+nj8Tn3OHBfMzz/IiNqOOP59klrfssz8MiIvpphbkZ636vO4EsIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACCFEAIAAAAAAEghhAAAAAAAAFI8ry4AMq3rGv6m1nrYXkoZVc5fi2qIrqFF7zFm6KczzHCdUQ0z1MhYd1gDtm0LfxOtyWfM3Tus+Z8k6u+W53jvOSIj7q9eZ6wB7yJai85YA3rXupb1tLcG7sWzCcg2w16iZa3LrnOG9XaGGlpF43HGe2pvf7XsmbL/BzPD/XcGX0IAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJBCCAEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApFj2fd+vLgL+ybquh+211sP2UsrIcm4r6qdZbNt22G48eVfRPRqthSPujd71tGWdmeEezr5O26rfRXM3MuI5/w7zboZruIs77HnOGM/o3ov2XL337uNhXv/EiP6OxhT4bCPWmUjvuj7iGf4O/yMaUeMdrpPP40sIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACCFEAIAAAAAAEghhAAAAAAAAFIs+77vVxcBf2td18P2WutJlVBK6Wpv/Q28o2itita6lnsnez0cUUPvGjDDmm9b9bto7kZGzJkZ5n72OTw/+akz1svoHNu2pdcwi961rGUt/aT+BMZreS7MsNe+gzPeaewNuSNfQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQ4nl1Ae+m1nrYXko5qZLPsG1b9zGiMfsU5ibc1xnr2Ig1IjrGDOuxtfD9zDCmvXPf/rJd7zoS9eW6rl3Hfzz6968tNfTOiTP64ZO4R4HZtaxTvWuZvf636Bl6xljAFXwJAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAECK59UFvJtSytUl8EPGDLhatA5t23bYXmsdWU6a6Dqtx/xUy9zPnldn3H/ujXbruh62R+tppOXvoxp650zvNQDAFexnvnmO86l8CQEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQYtn3fb+6iP+otXb9fSllUCUAAP8v2qvYi/xuWZbD9qi/9HebbduuLmEave8TEXPu27qu4W/My3H0NwBwd76EAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACDFsu/7fnURAAAAAADA+/ElBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJDi3/zEHUyGkMhtAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3282\n",
            "Epoch 97/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3279\n",
            "Saved to ./output/generated_img_096.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3279\n",
            "Epoch 98/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3279\n",
            "Saved to ./output/generated_img_097.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 28s 59ms/step - loss: 0.3279\n",
            "Epoch 99/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3277\n",
            "Saved to ./output/generated_img_098.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3277\n",
            "Epoch 100/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3276\n",
            "Saved to ./output/generated_img_099.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3276\n",
            "Epoch 101/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3274\n",
            "Saved to ./output/generated_img_100.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3274\n",
            "Epoch 102/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3276\n",
            "Saved to ./output/generated_img_101.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3276\n",
            "Epoch 103/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3274\n",
            "Saved to ./output/generated_img_102.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3274\n",
            "Epoch 104/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3272\n",
            "Saved to ./output/generated_img_103.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3271\n",
            "Epoch 105/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3272\n",
            "Saved to ./output/generated_img_104.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3272\n",
            "Epoch 106/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3272\n",
            "Saved to ./output/generated_img_105.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3272\n",
            "Epoch 107/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3269\n",
            "Saved to ./output/generated_img_106.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3269\n",
            "Epoch 108/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3268\n",
            "Saved to ./output/generated_img_107.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 28s 59ms/step - loss: 0.3268\n",
            "Epoch 109/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3269\n",
            "Saved to ./output/generated_img_108.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3268\n",
            "Epoch 110/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3265\n",
            "Saved to ./output/generated_img_109.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3265\n",
            "Epoch 111/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3266\n",
            "Saved to ./output/generated_img_110.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3266\n",
            "Epoch 112/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3266\n",
            "Saved to ./output/generated_img_111.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3266\n",
            "Epoch 113/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3266\n",
            "Saved to ./output/generated_img_112.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3266\n",
            "Epoch 114/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3261\n",
            "Saved to ./output/generated_img_113.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3261\n",
            "Epoch 115/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3261\n",
            "Saved to ./output/generated_img_114.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3261\n",
            "Epoch 116/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3262\n",
            "Saved to ./output/generated_img_115.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 58ms/step - loss: 0.3261\n",
            "Epoch 117/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3260\n",
            "Saved to ./output/generated_img_116.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3261\n",
            "Epoch 118/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3259\n",
            "Saved to ./output/generated_img_117.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 59ms/step - loss: 0.3260\n",
            "Epoch 119/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3258\n",
            "Saved to ./output/generated_img_118.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3259\n",
            "Epoch 120/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3258\n",
            "Saved to ./output/generated_img_119.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3257\n",
            "Epoch 121/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3258\n",
            "Saved to ./output/generated_img_120.png\n"
          ]
        },
        {
          "data": {
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            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 27s 57ms/step - loss: 0.3258\n",
            "Epoch 122/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3257\n",
            "Saved to ./output/generated_img_121.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3257\n",
            "Epoch 123/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3256\n",
            "Saved to ./output/generated_img_122.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 28s 59ms/step - loss: 0.3255\n",
            "Epoch 124/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3253\n",
            "Saved to ./output/generated_img_123.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "metadata": {
            "tags": null
          },
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "469/469 [==============================] - 25s 54ms/step - loss: 0.3254\n",
            "Epoch 125/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3255\n",
            "Saved to ./output/generated_img_124.png\n"
          ]
        },
        {
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "469/469 [==============================] - 25s 53ms/step - loss: 0.3255\n",
            "Epoch 126/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3255\n",
            "Saved to ./output/generated_img_125.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAALNklEQVR4nO3bTbKjuBIGUPPCW5QWKS2SHtxBve6IslQlpRD4nCk2JCgRP19wnOd5vgAAAAAAACb739UFAAAAAAAAzySEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAjxvroAAOB6tdah5TsopVxdAhtq9W5KaVElv3eHGtlHz3ysZ7ijnHP4NtwrAKNWzFWjzHXsyJcQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDifXUBAEC8nPPVJYQ7jmN4Hed5TqiEO6m1Di2foZQSXkNKaXgdzNEazxnztbmM/2r13Yw5Yof51FwHRGvNMyvmQnMdd+RLCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCHOd5nlcXAQD8vZzz1SV8jVLK1SUw2Q7nT6uvaq0fl6eUmtuYsQ7mOI7j4/IZY9Ea71bP6YfnafXdDNF90+rr1+v18noDiDZ6He+Zy1pcx7kjX0IAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhHhfXQDcXa314/KU0qJKoF/Oeej/pZTwGlrnTuvc6zFjP3iWGX3FvbTmgVZP9Myn53kObWPGfOh+5D5WzEP64Xl2uH6N1qAv76U13q3lK+7DPasTQd/A3/ElBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAh3lcXcDe11qHlpZSZ5fxVDSml8Bp20ToW32LFcfimvnqC1lzU6pnjOIZraPXMaN/qyX9zbfgx2lc554/LV1znmWu0J2aM+becfwCfeHZbZ4djPaOG0ftb98fsqKfv7tKbo+9Qe4wei6e8L1uxH6PPPb6EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACDE++oC7ialNPT/4zgmVfJ7rRpH92GlWuvQ8hVaNexwvHc4Tj3O87y6hFvIOQ+vo5TycXmrb1v/76mxtQ769RzLFdefq/XMdaPXyB3m9G+ywzW2tY2e+U7fANHucr/PGqPP0SuuWzN6NrrOGfeW3MsOc+kONcyyYl9a9+I7nKN3GNOeGlvvFFrv9HwJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECI4zzP8+oidlJr/bg8pRReQ855qIYVNd5F61gyz4xzp5Qyq5yttY5Vq29bx6nnWB/H0fzNSA09517r8tM6Ti09//+WnuvxLfOlMd/Linue0bmktY3R9fdsY8b5qffXGb3Or+AR8HlG7+2e4g69PeO60XKH68roM8+MbawYizv0JL/MODdG34309OUufdWqdcU5Rp8ZYzH6LsqXEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAh3lcXsNJxHMPrOM9zQiVjaq0fl6eUbrGNFVr78XrF70tPDfzYoe9aNawYz9H9nFFjq4YZY5Vz/qOa/quUMlwDcK3WeTrjPH7CXDA6J7OW8WA2PfUsK57XW/fZrfvonncno88DM65tT7jGP8noO7dWX75eezwrm5N/ucP7kRbj2W90LHwJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECI99UFzJRzDt/GcRzh2xg1o8aU0tDyXfTUWWtdUAk9x/kOfdXajxX7MGOui65zxXFojcWMnrtDT+5ixTne+r/5/H6cYz/07n3MmOuMN39qxXPuDHp/jh2O03mezd+M3ou3lpdSwmvo2c/RGnbRmkd22I+euW50zFrb2OE59pvuj2fs6w69Sx9fQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQ4n11AX8i5/xxea11USU8SUopdP368l5a/VBKGd5Gqyfu0DOt4zBjH1rrWDFW9IueS3vc4dz5NqNjskNftfTUqDfvw1hxhaf0XfR+3OGasIvWsdrheWTFvfqKntmlL0fHrGc8Rrcxo6+i3wvuMB97jv23HcaEOXwJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECI99UF/L+c88fltdZFlfy9lNLQ8terfRzoV0pp/mb0eN+hL5mndQ7v0A8988yMuWr0/9HnXs9Y9MwR7KM1pqN9y3ytMWnNA3cY0xn3bXe4ttxF9LHq6ck7jFerb10f53rCcy7r7HDt26GGHtHPNE+ywzwz435nh/0Y9U19OWO8njDm/PAlBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECI96oN1Vqn/GZ3pZSPy3v2MaU0tI7R/wN7a53jq9YRXYO56vuMXt922QbfpXXv93q1+250eU8Nd5BzHl7H6Dk8Oha9v+E+evrSmK/hOMPf2+Ee1zn8Y4exmGX0mf4pPdE6DivGfPRYrhgLX0IAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOJ9dQFPcxzH1SVMkVK6uoRt1FqvLuFrPKHvevah9ZtWzz3hOL1e7f14yn7Sz5h/n9H5sOcaXUoZWsdojT2+ZT5ccU+Vcw7fBs/ylOe3aD3zkOcmgLan3Nfxy4xnljsYfW7yJQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAId6rNlRrXbWpx0spXV3Co7SOp95dp3Wsv6X3v2U/4b9WzAHmmb2MHu+e/7uO76M1Xs4/IuScry7hFpx/wB14f7MX1w7+hC8hAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAjxvroA/lyt9ePyUsrQ/79NSunj8vM8Py6fcTyNyY/WWADAn4q+trh2wd5a52jrPnzGOT56rz+jhtF19OzD6HNo6//A73mn8BzHcTR/03pPtYu71MkavoQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACPG+ugDmq7VeXcJXSSltsQ6AEa1rh3mKK+xwTzOj93POQ/8vpQzXAN+qdQ6f57mokt/bYa5rcR8Ae2udo3eYZ/jRM996duOOfAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQIjjPM/z6iIAAAAAAIDn8SUEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOIfc8I9d5+TOFoAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 27s 58ms/step - loss: 0.3255\n",
            "Epoch 127/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3252\n",
            "Saved to ./output/generated_img_126.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 53ms/step - loss: 0.3252\n",
            "Epoch 128/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3251\n",
            "Saved to ./output/generated_img_127.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAALEElEQVR4nO3bUdajKhYG0KTXP0WcTsx0ZJD0w33o7up7A1VwEM3er0Q9CkH0Wz5LKeUBAAAAAAAw2L/OLgAAAAAAALgnIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABAiJ+zC+D3bdv2sT2l1NUOfyfn/LG9Ni6P4+iu4VvGbu1a19pn1DBinvmW/uQ/9n0/dXu4qt57cItSSvc+uI4Za4ka64BraRkz0X26Qg2spfeZBYB5fAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGepZRydhH8r23bPrbnnLv2n1Kq/uY4jq5jcD21cdU77loYd3+pzQG1//CMvhpRg/6+l+fzeXYJD0saVhU9L7es7biPEeNpxlrCuLyX2vr08Yhf261QA+OMeO/RO5fVtjeeAMbxJQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIZ6llHJ2Ed8k5zzkNz1SSkN+w708n8+P7bWpInrcPh7fMy63bfvYPuJa165l7zFa+uo4jq5jMNa+72eXcAmuE78asbabcX/7lnvoCqL7e8aaa8Q5GHPXMmP92cv6ci21MdNrxjPPCMYcULPCs8AKfAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOLn7AK+Tc45/Bgppe591OoccQzm2bat+pvjOLqOYUzw31rGQ21c9o5Jfs/7/e7a/vV6DaoErsX9j19Fj4kZY652jBnPNMB3c38F7qLlndwVlFK6tvclBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhfs4u4G5yzh/bU0qTKulzlTpp09Kf+pzfURsvtbmw5Td3mU/v4vV6fWx/v9/d+7iCfd+72iFCy5xrzryOlv7s1TsejCfOYNxdi7U88C1mrN3uwJcQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIT4ObuAq8k5d7WnlEaWA4/H4/HYtu1j+3EckyqhRW2e+Ba1+dB8Ota+713bv9/vj+2v16tr/8CfMx/ey4j+9MzC77rC+tS4vJe7zEN3OY8VzJiH9AcRau/k+IsvIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAI8XN2ATPlnMP3kVLqrqG2jxl6z5OxRoxdrmNGf0fPZS1zhHmGFb3f74/tpZRJlQD8ud576Ii1yFXu49u2fWwfcR4rXIvaeQL/r2UuPI5jQiVriH5OnfEcfJe50DPJOC3jLvrdxbe88/MlBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECIn7ML+B3btnVtn1Kq/ibn3HWMK9TQsv9SSmgN/J7a2D+OY1IlfIvoeQjOsu97Vzv8ynzJr3rXbbUx1fI8UfNN47b3GXLEtRrRZzXP57OrhiuMq5a+9Fw0xjfNEXexQp/11tAyD/XOVbUaW85hxnzKOLV7x4j3tLV9zFhLrFBjjS8hAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAjxM+tAOechv+nZvmX/KaXQGmao1dB7joy3bdup249QG1ct/41SyqhyONmIuXCF+RSAe+ldJ494nlhhrX6HZ55WI/q0V22tPqLG4zi698H3GPHuJHo+XWG+vdK7k95aW94pRF+Plv3PmE9revdxpXHVa4XrXTPifdqMe2z0O/MR+6iNbV9CAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDip/WH27Z9bE8pdW2/ipxz1/a169Cy/9o++D53GBN3OAf4Zq/X6+wSYEkt97fa+q/W7h66jhFr+d7njRFmjLlvGte9fT7iWvWOqxX6a8Qxau8djuPoPka0EXPEjHlmhbnuDuN+FSP+GzOuV2+d39SnM1zlXW+0FebDmhVq9CUEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACF+Wn94HEfXgUopXds/Ho9Hzrl7H71SSuHH6D3PGTXSbtu26m9qfVYbE7V2Y2Itvf0xoj975/TamGsZ9wB3MGJ96j79lxXW+jUt98/odVnLdeo9Ru0+3rL/q4zr3nX4iGOMsML6Mvo8rzKmaq4w162gpb+9O4FzzbiH1qwwp65QQ68Z86EvIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCPEsp5ewi4E/lnMOPkVLqqqG2/ePxeGzb9ls13dVxHGeXwEJG/Ldot+97+DHe73fX9q/Xa1Al/2zGdVhF7T824j/Ye5+e8T+/w1zTso5YYcnfO+Zm6F33jThGrX3EunGF/+asdd+MuY42K1zrFfpzxDwSPV+27L/3Wo7oixXuG55hAdr4EgIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEM9SSjm7CPgnOeeu9hYppe59fDKixm9R64vovoI72/e9a/v3+z2mkA6v1+tje0uNtX30Xqcr6b0/rXAPXqGGEWb0xQpL/hnnWfvNCv1dM6PG2jFGrMFXWdf1jolt26rH6L2eK7hCjSOsMBeuYIX+HjEH3OU8AL6BLyEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACPEspZSzi4A/tW3b2SUsIed8dglVKaXu37TsA/h7+753ta9gRI1XOM9ZaveOWnvLnNy7jxE13MGI+7x7LN+qdx5ped7oncuY5ziOs0sAgK/kSwgAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQvycXQD0OI6jex855672GVJKH9tHXAcAGK12/4re/i5q16FlrVL7jWsNAABE8SUEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQIifswuAs6WUutoBWMP7/e7ex77v/YXcRO3+l3Pu3scKWs7jkxnnOKIvgHXNmEfMEwDAmXwJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECIZymlnF0EAAAAAABwP76EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEL8G79lN1b4twmEAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 59ms/step - loss: 0.3251\n",
            "Epoch 129/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3251\n",
            "Saved to ./output/generated_img_128.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3251\n",
            "Epoch 130/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3251\n",
            "Saved to ./output/generated_img_129.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3251\n",
            "Epoch 131/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3249\n",
            "Saved to ./output/generated_img_130.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 27s 58ms/step - loss: 0.3250\n",
            "Epoch 132/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3250\n",
            "Saved to ./output/generated_img_131.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 53ms/step - loss: 0.3249\n",
            "Epoch 133/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3250\n",
            "Saved to ./output/generated_img_132.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 60ms/step - loss: 0.3250\n",
            "Epoch 134/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3246\n",
            "Saved to ./output/generated_img_133.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 26s 55ms/step - loss: 0.3246\n",
            "Epoch 135/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3246\n",
            "Saved to ./output/generated_img_134.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3245\n",
            "Epoch 136/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3246\n",
            "Saved to ./output/generated_img_135.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 27s 59ms/step - loss: 0.3246\n",
            "Epoch 137/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3248\n",
            "Saved to ./output/generated_img_136.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3248\n",
            "Epoch 138/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3245\n",
            "Saved to ./output/generated_img_137.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 59ms/step - loss: 0.3244\n",
            "Epoch 139/150\n",
            "465/469 [============================>.] - ETA: 0s - loss: 0.3244\n",
            "Saved to ./output/generated_img_138.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 26s 55ms/step - loss: 0.3245\n",
            "Epoch 140/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3244\n",
            "Saved to ./output/generated_img_139.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 26s 55ms/step - loss: 0.3243\n",
            "Epoch 141/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3242\n",
            "Saved to ./output/generated_img_140.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 27s 58ms/step - loss: 0.3242\n",
            "Epoch 142/150\n",
            "469/469 [==============================] - ETA: 0s - loss: 0.3243\n",
            "Saved to ./output/generated_img_141.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAKhklEQVR4nO3bXRKjKBQG0DiVLeJ2YrYji2Qeuqbmp6aD3XARzTmvJHpVBPQrl1JKeQAAAAAAAHT2x9kFAAAAAAAA9ySEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAjxPLuAX7Gu68f2lNKgSn4u5/yxfd/3QZVwJ9u2NbUDzGBZlqb/j5jnzdOcobbGra0veyilhO+DH2rXc8T1ro2nMzxXAXOrzV2tjoxDxipghNbnWOvsH3wJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhllJKObuIv+Scm9prUkpN/+/hyDHUfjPRJePxeCzL8rH9yPXatu3UdoCa2ty0ruugSmLV1gr7vg+qhDuZ4f7Rt+dxhfFSf/g+PZ7Fa/2m1vdbn/cfD8/KvdSecWdhbgO4Dl9CAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDieXYBI+Wcm7eRUupQSds+1nX92L7ve89yqCilfGzfti28hhH7AO5tWZaP7SPmvxn0WCtwL7V11xEz9KtvuYe/wZH+VHsemKFPctyI59jW9sejvpaoqT1XHdl+7VwZC3/oMbfVtL6X6FGjdycA8/AlBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAECIpZRSzi7iL+u6nl1Cs5RS8zZyzk3/3/e9uQYA7qU2t9Tm4B7z2xXUzlNtjv2W8zSLZVnC9zHimrau/Y7Qd+cxwzOP5wUi1May2jjTY0yv7eNb+n5tnGm9VkfcYf78lv4CMIIvIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAI8Ty7gH/a973p/znnpvYeRuwjpRS+D/rZtq3Lb4Bf4977txHz0x3U5lhz8Fh3WVdFH4d++V2O9Cd94lrWdf3YfuR6znDNazXc5Xn8DmrvXo70p1q/rbW3vv95POrXe4b7gr/NcH9eYW1Zu3cej8ejlNK0DziDLyEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACPE8u4Cecs5nl9BFSqmpnbG2bfvY/n6/w/fR4/+t+2AePa73iP6gz3EGc+i1jFjb3WH9eOQY9P1x1nX92F67Fnfok/yafd8/ttf61ONxjXt8RI1XOA8zqI0zPfrciLGudR/6y69pnd96aO03PfpEbRvm8bFmeLfBMb6EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACDE8+wC4O5er1f4PrZta2pnLrXr9X6/P7Yf6XMz9IllWc4uYYrzcBU554/tKaVBlbSpHce+74MqAf6rdn/O4EiN0ePhkXGqVue6ruE13MWRa97ad3v0mdZ5utYnetQ4ot9dZT0yO+fxfnrMsbV+McM83lrDDMfAWD3eS5RSOlRyf76EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAjxPLsAuLv3+139zev1atrHtm1N/+e4Gc51rb8c6XMz1NDa7+krpfSxPec8qBLgrmrjyIhxpjbW9RB9HCPOkzH/bz3OxYg5traNdV1Dt39E7Tzs+968D46pXc8RYyXXc4f57S7PPN90D0e/gymlhG7/8agfwwzvmUbwJQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIZZSSjm7iF7WdT27hC5SSk3tjLVt2y32wTHLsnxsf71egypp836/Q7c/w3k4ct/UfnOne+8uc2S0fd/PLoF/qI25HFfr2zOsL2vX+0iNOede5Zymx7WIPg83eoSs6nEuW7cxw/15xFXq/AbWfT+03nt3Gutq5+Iuc6xxCOblSwgAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQjzPLgDgSkopH9u3bRtTSKPX6/Wx/SrH0eoux5lzbv5NSqlXOQC/Zd/3j+3rug6q5FxHxvSa2pjeYx/fosf8eIc5Vp/5Lkeu9wz9OrpfXuU8HDFiLJthnJihhhGu0u845sh7idZ3Fz3efbRuw5cQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIR4nl3AbFJKH9tzzuE11PZRqxE4z7ZtXX5zthlqnKGGb1KbW9Z1bfo//I593z+291iXjVjbcUxtHCmlNO/jCtd7xPOIMZtfpc9cS23+/BbLspxdwlcxTsD/m+Hdxgw1+BICAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIMTz7AJmk3M+u4RHSunsEoBA27adXQJfqHVuKaV0qgSOq/XbEeu2EeuyEcdR28e3rD/vcJx3OAaAEWZYRwB4B/SDLyEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACPE8uwAAoE1Kqctv4GqO9Oucc9M+Wv8/C2MAAN+mNvfdZY4HuAJfQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQ4nl2AT2llD6255wHVfJztRqP/gYA4NsdWdvNsP4DAMbzbgW4gm3buvxmdr6EAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACDE8+wCekopfWzPOQ+q5OdqNcL/2batqR0AvlXr2muG9WMP1qAAAMBZfAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOJ5dgEjpZSqv8k5h+8D/mvbtrNLAIDLaV23HVFb2+37Xt3Gsiy9yvlttXNlDQvAt6nNfeZGOF/r+7Ie79tq27jCO70ZjsGXEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEWEop5ewiAAAAAACA+/ElBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABDiT2WufEXxelTMAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3243\n",
            "Epoch 143/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3240\n",
            "Saved to ./output/generated_img_142.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 60ms/step - loss: 0.3240\n",
            "Epoch 144/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3242\n",
            "Saved to ./output/generated_img_143.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 26s 54ms/step - loss: 0.3242\n",
            "Epoch 145/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3240\n",
            "Saved to ./output/generated_img_144.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3240\n",
            "Epoch 146/150\n",
            "467/469 [============================>.] - ETA: 0s - loss: 0.3241\n",
            "Saved to ./output/generated_img_145.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 59ms/step - loss: 0.3241\n",
            "Epoch 147/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3239\n",
            "Saved to ./output/generated_img_146.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAALEUlEQVR4nO3bXXLsqhUGUCvlKaLpWD0dGCR5OKlKcutWgy9s9NNrvdKGLQkh5K+01VrrFwAAAAAAwGT/OrsAAAAAAADgmYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACG+zy7g0xzHMeU3I38/2v+nKaUM/X1KaVIlsVrHeZfjYHzO9jAfuCtrHb+1Yt+0Yu9m/weM6Nlf7vu+oJIxtdazS6DTjDl3hX1dzvnsEviFnnkXPa+uUAO/c4XnX2tOXGHO+BICAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEJstdZ6dhFXchzH2SVcwiedh1JKaP8ppdD+Z9n3/W176zjucpyfYNu24T48GrijGXO/tZblnIfH4Fpae55P2hPR1rNvbK0jrT1Xa52ZUQP8VWteRr8zrWKPO09r39Vay0bXwh4r5q335M8z+r+T0f6/vqxlq7XWkp5r9s6KdeIK77G+hAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAgxPfZBcx0HMcl+jjbE45hllLK2SV0adWZUgrtf8YYXEfOufmb1pyInpM8T886c4V51+qjVcO+72/be+4/+l1hT3OFGmZ4ynFEm7EOja51LZ7B/J3W8+ku70WjPIfXGd1TrbhWK96jWSv6GdpaS3v6GN1LeM5fT/S867nmrbl5h3njSwgAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEN9nF/Abx3EMtfNHz3lyrvullC7Rx2j/pZSh9hk1MEfPuXY9mG3FvJuxTrVqyDm/bd+2rTnGp+jZC7xer7fttdbwGlb0wXOs2Ne12ltr2Yx9nX3AvfQ830b36vBbrT3TE+ak96q1Zqx1V/i/hTnxPKN7t5YnrJc9fAkBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQIjvswv4X8dxDLU/hfMwT0qp+Zt939+2l1KGaqi1Nn/TGqPnOKK1arjDMdxFa07e4VzeoUaup7WOtO6NFTX0rOmf4vV6nV3CJVzhPPz8/JxdAr+Qc37b3lqHRvem3I9rzl+NzokZc2p0v/+Uee29p9+M/xlc4XxHz90rHCP/r3VNRq/Zp1xzX0IAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEOJ71UDHcZzex4waVmjVueI4Xq/X6TWsklIaai+lzCznH1lRQ2uM1nlinn3f37b3XIuc89v2bduGxjAf+DutudsyY97NuH8i/36l1rO8tRdYUcOKMVYcZ7Qn7cs+QfQ6BJyr9d40uh/qseId9grvwdE+aT2ecT0/5R3xKcfBPFf4f9kd5qUvIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAI8d37w+M4htpfr1dzjJ+fn95y/vEYd9A6jtHztG1b8zejY9xJSunUv+9RShmqofX3PX3MGIM1cs5nlwB/a3S93Pd9UiVxNdRaF1UyrrV3myF6b9azpxm1Yk80uvfruZYrrjd9VuwdV4zBOvbZ93KF9ypzZp3Rd/VVVsyJFWNc5Xy+M3oe7nCMd7LiHh3tY8a9c4d540sIAAAAAAAghBACAAAAAAAIIYQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBbrbXO6Og4jhndDHm9XsN9/Pz8TKjk/q5wPZ+ilHJ2CV1SSmeXwH9s2xY+RmvpH61h0qOFC9n3PXyM0XVoxXo7Y6203s4zY79iz8NsrfVyxRrQWg9zzuE1MM+KveFTtOa2Z/Afd9kzcS2teTM6r8yZfs7Vf43Oy5490Yp34VGjc2LFnPIlBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhtlprPbsIuLN939+2l1KafeSch2roGSO6BubZtu3sEoZ5tKzVswaMrhOtNaK1Fn59fX2llIb7GOl/htYYK9Z84Dw961T0PT66Vn59WYfu5gl7w1Vac3vFXgGAP1rvRjP+lzWqp4ZPeHas2Bv6EgIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEN9nFwB3l1J6255zHh6jlDJUQ6t9xhj0a51r+Ktt2962r7g/Z6wRK9ayltE+3L/wbK31ttYaXsO+72/b7cmex7NlHvcHwDqjz68rrNlXqKHHE/YKvoQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIMT32QXA023b1vxNSmlBJe+VUt62j9bY6n/GGHfRcy7uzvX+nej7b4Y7zNt935u/qbWG1pBzDu0fPlnPOjS6Vn3KPXyH584nmXE97vCcbmkd5xOOEQD+iSfszXwJAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABACCEEAAAAAAAQQggBAAAAAACEEEIAAAAAAAAhhBAAAAAAAEAIIQQAAAAAABBiq7XWs4uAO9v3/W17znlRJfdXSnnbnlJaVEms1pxpnYc76Jn3T7meV9AzZ1q/GZ13K65na4wZ9441G+Lc4fl2h2fTjPN4h+P8JNu2vW3veTa19pdXsOI57t8bAHBNvoQAAAAAAABCCCEAAAAAAIAQQggAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIMT32QXA3aWUzi7hMT7lXLaOs5SyqBKeoufe+YT76xOOEcBa93mesjd8ynEAAL/nSwgAAAAAACCEEAIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQnyfXQA8XSklfIyU0nAfrTpnjMEfrXNZa33b3rpW+74P19AaI+c81D8AAH1WvE8AAETyJQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIb7PLgCurpQSPkZKaejvWzWO9s+99FzvnPPQGCvuCwBYbcbzrfUcXrFvGz0Oe0cAAGbyJQQAAAAAABBCCAEAAAAAAIQQQgAAAAAAACGEEAAAAAAAQAghBAAAAAAAEEIIAQAAAAAAhBBCAAAAAAAAIYQQAAAAAABAiO+zC4CrSym9bS+lDLXP0KqRZ2nNqZzzokoA4F5G90w9+7rWb1bUMLp/ZS7nG35vxloHwHX4EgIAAAAAAAghhAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEFuttZ5dBAAAAAAA8Dy+hAAAAAAAAEIIIQAAAAAAgBBCCAAAAAAAIIQQAgAAAAAACCGEAAAAAAAAQgghAAAAAACAEEIIAAAAAAAghBACAAAAAAAIIYQAAAAAAABC/Bs+ye1Gt4q53QAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3239\n",
            "Epoch 148/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3239\n",
            "Saved to ./output/generated_img_147.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 28s 60ms/step - loss: 0.3239\n",
            "Epoch 149/150\n",
            "466/469 [============================>.] - ETA: 0s - loss: 0.3238\n",
            "Saved to ./output/generated_img_148.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 26s 55ms/step - loss: 0.3238\n",
            "Epoch 150/150\n",
            "468/469 [============================>.] - ETA: 0s - loss: 0.3238\n",
            "Saved to ./output/generated_img_149.png\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAABiEAAACXCAYAAABzwvhEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAKjUlEQVR4nO3bUc6juBIG0D9X2aLZTsh28CK5D61Rj1qjFDN2GUPOeYVAAYUN+cRj3/f9BwAAAAAAoLP/nV0AAAAAAABwT0IIAAAAAAAghRACAAAAAABIIYQAAAAAAABSCCEAAAAAAIAUQggAAAAAACCFEAIAAAAAAEghhAAAAAAAAFIIIQAAAAAAgBTPswtgTrXWj8tLKYMqOd8M52KGGriOZVmatxH1lJ7jDOu6nl3CFDV8k2j+i5b3EI13R8bc1jHVmAvf7chYZ5xgNq1zdI85ProvRrxnuzeBKzjyThONmfu+f1zuSwgAAAAAACCFEAIAAAAAAEghhAAAAAAAAFIIIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASPHY930/uwj6WpaleRullKbld1Jrbfr9iHPVWuPPz3dd06uL7vEe/RDZtu3jcv3Ef7Gua9Pv3+93uM7r9WraR6T1GO4mGo9GjFcj9hFpHROjY/A4D/d25P3O+xuz6fG/xB1E700APczwP1H0TuJLCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSPPZ9388u4i+11tTtl1JStz+LZVnS97FtW/o+ZjHifGb7putFn56Nxsse42lUp77lT+u6nl3CFDVcSXSfR2NJ9rPhXRgv+3k8Hs3biK5H1Nc9+n6G9x59+VvrNe3xbDfierQeZ/T7I32t78YZMZbdgZ4ERujxDBuJ5uFovPMlBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAECK56gdLcsSrlNrHVAJR5RSzi5hmCO9eXU97q1v6omr27bt7BK6iPpWT8K5jswt0X3q2a+PHtfiWzwej/R9zNDX7r2xovPZuryHO7zzHDlP0XHe5Tl5BsYRgF9m+O8imt96PBu2HocvIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABI8Ry1o1rrqF0BXNqyLB+XX2E83bYtXKeU8nF5dJzR7wHuIhoPj4y53yKaQ0eYYZ7OrmGGY5xJ6/kY8UxzhRp71DBDnVcww1gJcBfRHNvjuSl63m/9f2UEX0IAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJBCCAEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkOJ5dMVlWT4uL6U0Lf/5+fmptR4tB/ib6P46cm8duUcZI7oW27Y17yMa03vsI2LMp7f3+x2u83q9BlTCX9znx0TnyTzfT+u5vMo7zRVq0JNjzXC+e4xlwHXdZV64y3HcRevc0eN6Rf+fRDUeOYYR/8tn8yUEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJBCCAEAAAAAAKQQQgAAAAAAACmeR1cspTQtX5bl6K6YwLZtZ5fQRa317BIuIzpX0T3OtUTXs/Xe6dEvrTXqWf6L9/v9cfm6rmMKuQBz7DyOXItvGRNb30l6zI/Zc+wR0bP8iHezu8zT3mN/6dG3I3r/Cn2lp37RD/cTXdPW5T8/8fzW2ldH7s/W/0f57cj1muG/iRnc4X9aX0IAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJBCCAEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApHgeXbGUklkHTKvW+nH5DPdGVCNzeTweZ5eQrsd9EW3jCvcmY71er3CddV0/Ln+/352qgeOMd/1E52Lf94/Le8zRMzyXzVDDXfpy27ZwnWVZBlSSa4aeuYvoXB7pqdZ9tM4bR3q69R6f4X2hh6uMda09M4tono6uR7S8x/3Jb9FYMuL+6dH7V3hWbz3OEb3vSwgAAAAAACCFEAIAAAAAAEghhAAAAAAAAFIIIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUjx7bWhZll6bmlop5ePyWuugSjjiyPWI1omu+RUcOQ93OE7uJZpX9CzAL54/+ZOeGGvbto/Lo+sxw/W6wnPVFWo8osd/J63nIuq5qKeZT+s40+P+GjGWZff+XcaZUaLxrMdYM8Mc2VpDj75rrWGG3vYlBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAApnr02VEr5uLzW2mtXp7rLcQCczXgKcEz0nL1t26BK4JeoJ4+uwzitz11Hrmf2Pq7SUzMcx1XOVbZvOg+tx9rj3ewK/wtGNS7LEm7Dc9dv0bmIrvmR830FI3pixDyezZcQAAAAAABACiEEAAAAAACQQggBAAAAAACkEEIAAAAAAAAphBAAAAAAAEAKIQQAAAAAAJBCCAEAAAAAAKR49tpQKaXXpkjmWgHZaq232AfACNGzmWc3Rot6btu2QZXcwwzPLCPGEWMVzGuGZ40rjBH7vofrzDCmX0WPvovO9xX6qoc7HKcvIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSPM8ugPG2bTu7hKmUUpqW11p7lpMiOoaj6wCcaV3Xj8sfj0fzNoDv9i3PQ94H+NMM7zTfcv8BcJy54T58CQEAAAAAAKQQQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABAiueoHe37PmpXAKeptTZvo5SSvg/msq5r03J+eb1eU2yD34xnzCbquWh51NOzcG/xb12ltwHOZryE/8aXEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQQggBAAAAAACkeJ5dAJytlHJ2Cem+4Ri5nta+rLV2qmR+j8cjfR/7vqfvg3vZtu3sEr5qHKCPET0T7cP8B//MOwsA3JcvIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABI8Ty7AJhdrTX996WUpn30ENU5Q43fIjrXrT3JfNZ1PbuEsIYZauR+vmVu+Zbj5BjzOPwzYyUA3JcvIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABIIYQAAAAAAABSPM8uAK6u1np2CUykRz+UUjpUwp2s69q0/C41jNB6nHc5D1dhvOTfiuZpPUUGfQcAfDtfQgAAAAAAACmEEAAAAAAAQAohBAAAAAAAkEIIAQAAAAAApBBCAAAAAAAAKYQQAAAAAABACiEEAAAAAACQ4rHv+352EQAAAAAAwP34EgIAAAAAAEghhAAAAAAAAFIIIQAAAAAAgBRCCAAAAAAAIIUQAgAAAAAASCGEAAAAAAAAUgghAAAAAACAFEIIAAAAAAAghRACAAAAAABI8X8ov7DO0Z7whwAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\b\r469/469 [==============================] - 25s 54ms/step - loss: 0.3238\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<keras.src.callbacks.History at 0x7eb875bec100>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "pixel_cnn.fit(\n",
        "    input_data,\n",
        "    output_data,\n",
        "    batch_size=BATCH_SIZE,\n",
        "    epochs=EPOCHS,\n",
        "    callbacks=[tensorboard_callback, img_generator_callback],\n",
        ")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "cfb4fa72-dd2d-44c1-ad18-9c965060683e",
      "metadata": {
        "id": "cfb4fa72-dd2d-44c1-ad18-9c965060683e"
      },
      "source": [
        "## 4. Generate images <a name=\"generate\"></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 14,
      "id": "7bbd4643-be09-49ba-b7bc-a524a2f00806",
      "metadata": {
        "id": "7bbd4643-be09-49ba-b7bc-a524a2f00806"
      },
      "outputs": [],
      "source": [
        "generated_images = img_generator_callback.generate(temperature=1.0)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 15,
      "id": "52cadb4b-ae2c-42a9-92ac-68e2131380ef",
      "metadata": {
        "id": "52cadb4b-ae2c-42a9-92ac-68e2131380ef",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 91
        },
        "outputId": "d8da601a-5630-49d3-fcb9-1ac169523efd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x300 with 10 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "display(generated_images)"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "wbsplG8oW5Kv"
      },
      "id": "wbsplG8oW5Kv",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    },
    "colab": {
      "provenance": [],
      "machine_shape": "hm",
      "gpuType": "L4"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 5
}