Network_Bending_Static_Images.ipynb

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  "metadata": {
    "colab": {
      "name": "Network Bending-Static Images.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "toc_visible": true,
      "authorship_tag": "ABX9TyOWigyIvH7qld9OAJ4yhSNI",
      "include_colab_link": true
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      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/dvschultz/ml-art-colabs/blob/master/Network_Bending_Static_Images.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mRGVsNV4APak"
      },
      "source": [
        "# Network Bending\n",
        "## Manipulate StyleGAN2 models through rotation, translation, etc.\n",
        "\n",
        "[Paper](https://arxiv.org/abs/2005.12420) | [Video](https://youtu.be/IlSMQ2RRTh8) | [GitHub](https://github.com/terrybroad/network-bending)\n",
        "\n",
        "Thanks to [Sid Black](https://twitter.com/realmeatyhuman) for a lot of the code used here to get this up and running on Colab."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9sTjMUOhAdVH"
      },
      "source": [
        "## Install Library\n",
        "\n",
        "This code uses the PyTorch version of StyleGAN2. Because of that the install process for this may take a couple minutes."
      ]
    },
    {
      "cell_type": "code",
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        "outputId": "f4e90140-9cff-49b7-d33a-5904d64ccb4d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "cat /usr/local/cuda/version.txt"
      ],
      "execution_count": 4,
      "outputs": [
        {
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          "text": [
            "CUDA Version 10.1.243\n"
          ],
          "name": "stdout"
        }
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        "colab": {
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      "source": [
        "# Install libraries\n",
        "!git clone https://github.com/dvschultz/network-bending\n",
        "!pip uninstall torch torchvision -y\n",
        "!pip install torch==1.5.0+cu101 torchvision==0.6.0+cu101 -f https://download.pytorch.org/whl/torch_stable.html\n",
        "!pip install Ninja kmeans-pytorch\n",
        "!apt-get install -y vim make gdb libopencv-dev\n",
        "!wget https://download.pytorch.org/libtorch/cu101/libtorch-shared-with-deps-1.5.0%2Bcu101.zip\n",
        "!unzip /content/libtorch-shared-with-deps-1.5.0+cu101.zip -d /root/\n",
        "%cd network-bending\n",
        "\n",
        "#install custom transformations\n",
        "!chmod +x /content/network-bending/build_custom_transforms.sh\n",
        "!/content/network-bending/build_custom_transforms.sh /root/libtorch/"
      ],
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'network-bending'...\n",
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            " extracting: /root/libtorch/include/ATen/core/Scalar.h  \n",
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            " extracting: /root/libtorch/include/ATen/core/ScalarType.h  \n",
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            " extracting: /root/libtorch/include/ATen/core/typeid.h  \n",
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            "   creating: /root/libtorch/include/ATen/native/quantized/cpu/\n",
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            "   creating: /root/libtorch/include/ATen/cudnn/\n",
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            " extracting: /root/libtorch/include/ATen/cudnn/Exceptions.h  \n",
            " extracting: /root/libtorch/include/ATen/cudnn/Handles.h  \n",
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            " extracting: /root/libtorch/include/ATen/Backtrace.h  \n",
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            " extracting: /root/libtorch/include/ATen/Generator.h  \n",
            " extracting: /root/libtorch/include/ATen/SmallVector.h  \n",
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            "   creating: /root/libtorch/include/torch/csrc/onnx/\n",
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            "   creating: /root/libtorch/include/torch/csrc/api/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/\n",
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            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/\n",
            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/\n",
            "  inflating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/batchnorm.h  \n",
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            "   creating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/container/\n",
            "  inflating: /root/libtorch/include/torch/csrc/api/include/torch/nn/modules/container/named_any.h  \n",
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            "/content/network-bending\n",
            "/root/libtorch/\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
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            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
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            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"10.1\") \n",
            "-- Caffe2: CUDA detected: 10.1\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 10.1\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  7.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_70,code=sm_70\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/dilate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target dilate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/dilate.dir/op.cpp.o\u001b[0m\n",
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            "[100%] Built target dilate\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
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            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
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            "-- Looking for pthread.h\n",
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            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"10.1\") \n",
            "-- Caffe2: CUDA detected: 10.1\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 10.1\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  7.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_70,code=sm_70\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/erode/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target erode\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/erode.dir/op.cpp.o\u001b[0m\n",
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            "[100%] Built target erode\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
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            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"10.1\") \n",
            "-- Caffe2: CUDA detected: 10.1\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 10.1\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  7.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_70,code=sm_70\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/rotate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target rotate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/rotate.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library librotate.so\u001b[0m\n",
            "[100%] Built target rotate\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"10.1\") \n",
            "-- Caffe2: CUDA detected: 10.1\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 10.1\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  7.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_70,code=sm_70\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/scale/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target scale\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/scale.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library libscale.so\u001b[0m\n",
            "[100%] Built target scale\n",
            "-- The C compiler identification is GNU 7.5.0\n",
            "-- The CXX compiler identification is GNU 7.5.0\n",
            "-- Check for working C compiler: /usr/bin/cc\n",
            "-- Check for working C compiler: /usr/bin/cc -- works\n",
            "-- Detecting C compiler ABI info\n",
            "-- Detecting C compiler ABI info - done\n",
            "-- Detecting C compile features\n",
            "-- Detecting C compile features - done\n",
            "-- Check for working CXX compiler: /usr/bin/c++\n",
            "-- Check for working CXX compiler: /usr/bin/c++ -- works\n",
            "-- Detecting CXX compiler ABI info\n",
            "-- Detecting CXX compiler ABI info - done\n",
            "-- Detecting CXX compile features\n",
            "-- Detecting CXX compile features - done\n",
            "-- Looking for pthread.h\n",
            "-- Looking for pthread.h - found\n",
            "-- Looking for pthread_create\n",
            "-- Looking for pthread_create - not found\n",
            "-- Looking for pthread_create in pthreads\n",
            "-- Looking for pthread_create in pthreads - not found\n",
            "-- Looking for pthread_create in pthread\n",
            "-- Looking for pthread_create in pthread - found\n",
            "-- Found Threads: TRUE  \n",
            "-- Found CUDA: /usr/local/cuda (found version \"10.1\") \n",
            "-- Caffe2: CUDA detected: 10.1\n",
            "-- Caffe2: CUDA nvcc is: /usr/local/cuda/bin/nvcc\n",
            "-- Caffe2: CUDA toolkit directory: /usr/local/cuda\n",
            "-- Caffe2: Header version is: 10.1\n",
            "-- Found CUDNN: /usr/lib/x86_64-linux-gnu/libcudnn.so  \n",
            "-- Found cuDNN: v7.6.5  (include: /usr/include, library: /usr/lib/x86_64-linux-gnu/libcudnn.so)\n",
            "-- Autodetected CUDA architecture(s):  7.0\n",
            "-- Added CUDA NVCC flags for: -gencode;arch=compute_70,code=sm_70\n",
            "-- Found torch: /root/libtorch/lib/libtorch.so  \n",
            "-- Found OpenCV: /usr (found version \"3.2.0\") \n",
            "-- Configuring done\n",
            "-- Generating done\n",
            "-- Build files have been written to: /content/network-bending/transforms/translate/build\n",
            "\u001b[35m\u001b[1mScanning dependencies of target translate\u001b[0m\n",
            "[ 50%] \u001b[32mBuilding CXX object CMakeFiles/translate.dir/op.cpp.o\u001b[0m\n",
            "[100%] \u001b[32m\u001b[1mLinking CXX shared library libtranslate.so\u001b[0m\n",
            "[100%] Built target translate\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "dlKlP0NoB8Zp"
      },
      "source": [
        "## Download .pt file\n",
        "\n",
        "As mentioned above, this library uses the PyTorch version of StyleGAN2. If you have a .pkl file, you’ll need to convert it to a .pt file. I have a notebook to do that here."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-ijf6j9Iw8_u",
        "outputId": "cb02d4a7-a882-4d54-daf0-53020cdffe21",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!gdown --id 1huJHdsDlj6x50j_uI1wvsIY8zW6O4lVb"
      ],
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Downloading...\n",
            "From: https://drive.google.com/uc?id=1huJHdsDlj6x50j_uI1wvsIY8zW6O4lVb\n",
            "To: /content/network-bending/FreaGAN-10k.pt\n",
            "133MB [00:00, 258MB/s]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kzJ33m8GCdW5"
      },
      "source": [
        "## Generate Image Samples\n",
        "\n",
        "First, edit `example_transform_config.yaml` to include various transforms. At the bottom of this file is a sample for each transform possible. I also recommend reviewing the [repo](https://github.com/terrybroad/network-bending) for additional samples.\n",
        "\n",
        "Then run the next command. While there are a nummber of arguments you cna pass into the script here are a few required or helpful ones.\n",
        "\n",
        "*   `--ckpt` pass your `.pt` model file in\n",
        "*   `--config` pass your `example_transform_config.yaml` to this\n",
        "*   `--pics` how many sample images to produce\n",
        "*   `--truncation` defaults to `0.5`, so change if you want something else\n",
        "*   `--size` if you’re not using a 1024 square model you’ll need to include this with the dimension (note: network bending doesn’t work with non-square models)\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YK8tkjZ5OqlW",
        "outputId": "d1f1305a-17ad-4c4b-9487-4b86b57c7391",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "!python generate.py --ckpt /content/network-bending/FreaGAN-10k.pt --pics 1 --config /content/network-bending/configs/example_transform_config.yaml"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0, 14, 15, 23, 30, 43, 50, 55, 56, 58, 63, 66, 78, 89, 95, 111, 112, 117, 132, 135, 143, 155, 162, 167, 170, 174, 182, 184, 187, 197, 204, 236, 248, 259, 267, 270, 272, 276, 278, 280, 289, 317, 319, 330, 340, 350, 354, 357, 364, 366, 368, 375, 383, 386, 393, 407, 408, 409, 419, 479, 483, 491, 496, 497, 501, 504, 510]\n",
            "[0, 14, 15, 23, 30, 43, 50, 55, 56, 58, 63, 66, 78, 89, 95, 111, 112, 117, 132, 135, 143, 155, 162, 167, 170, 174, 182, 184, 187, 197, 204, 236, 248, 259, 267, 270, 272, 276, 278, 280, 289, 317, 319, 330, 340, 350, 354, 357, 364, 366, 368, 375, 383, 386, 393, 407, 408, 409, 419, 479, 483, 491, 496, 497, 501, 504, 510]\n",
            "  0% 0/1 [00:00<?, ?it/s]torch.Size([1, 512])\n",
            "100% 1/1 [00:01<00:00,  1.20s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wo-dVZt8Dp-O"
      },
      "source": [
        "Rather than try to look at them in Colab (which I find tedious) let’s just zip up the file and download it."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0bazmXRa0zhw",
        "outputId": "03c56baa-7dde-495b-ab9d-c975ac2cb1bb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "!zip -r samples-freagan-10-strips.zip ./sample/\n",
        "#once completed go to the side panel, right-click on the zip name and download"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "  adding: sample/ (stored 0%)\n",
            "  adding: sample/000004.png (deflated 0%)\n",
            "  adding: sample/000002.png (deflated 0%)\n",
            "  adding: sample/000006.png (deflated 0%)\n",
            "  adding: sample/config.yaml (deflated 13%)\n",
            "  adding: sample/000000.png (deflated 0%)\n",
            "  adding: sample/000008.png (deflated 0%)\n",
            "  adding: sample/000003.png (deflated 0%)\n",
            "  adding: sample/000007.png (deflated 0%)\n",
            "  adding: sample/000009.png (deflated 0%)\n",
            "  adding: sample/000005.png (deflated 0%)\n",
            "  adding: sample/000001.png (deflated 0%)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mQkbRaOuD85t"
      },
      "source": [
        "##Generating Sample Strips\n",
        "\n",
        "That was pretty easy, but if you want to see what each transform does to an image it’s gonna be pretty frustrating and tedious. Thankfully there’s a script that will help generate a transform at every layer of the network, and output those images to a single image strip. You may actually want to run this before generating samples, but its helpful to understand the single image generation process first.\n",
        "\n",
        "This time, edit the `/configs/sample_strip_config.yaml` file, then pass it in to the `--config` argument. Most of the same options as above (pics, truncation, etc) are available here as well."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o7LtrjsMyL-5",
        "outputId": "05bc5700-fe49-4e71-a35e-921d4a69c4c3",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 34
        }
      },
      "source": [
        "!python generate_sample_strips.py --ckpt /content/network-bending/FreaGAN-10k.pt --pics 1 --config /content/network-bending/configs/sample_strip_config.yaml"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100% 1/1 [00:11<00:00, 11.32s/it]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Rf6sZbOfeSVS"
      },
      "source": [
        "## Helper functions"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dYPiAAU6j_i1"
      },
      "source": [
        "# empty sample folder\n",
        "rm -rf /content/network-bending/sample/*.png"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}