swap.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G9BdiCppV6AS"
      },
      "source": [
        "# Video tutorial link > https://youtu.be/OI1LEN-SgLM\n",
        "# Testing video and images and more : https://www.patreon.com/posts/1-click-deepfake-83785289\n",
        "## SECourses : https://www.youtube.com/SECourses\n",
        "## GitHub instructions : https://github.com/FurkanGozukara/Stable-Diffusion/blob/main/Tutorials/1-Click-DeepFake-Tutorial.md\n",
        "# RunPod Roop DeepFake Auto installer: https://www.patreon.com/posts/auto-installer-84511510"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ni6edG-8MUNg"
      },
      "source": [
        "**If you want to use the latest version remove `!git checkout 312208a41102ba86d2454ae8efc9d3f0b786a6e7`**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "t1yPuhdySqCq",
        "outputId": "62590f74-4433-4f15-9e4f-1e42dff96a6b"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "\u001b[?25hCollecting lmdb (from gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading lmdb-1.4.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (299 kB)\n",
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            "\u001b[?25hRequirement already satisfied: pyyaml in /usr/local/lib/python3.10/dist-packages (from gfpgan==1.3.8->-r requirements.txt (line 21)) (6.0.1)\n",
            "Collecting tb-nightly (from gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading tb_nightly-2.15.0a20230902-py3-none-any.whl (5.5 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m5.5/5.5 MB\u001b[0m \u001b[31m103.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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            "Collecting yapf (from gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading yapf-0.40.1-py3-none-any.whl (250 kB)\n",
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            "Collecting addict (from basicsr>=1.4.2->gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading addict-2.4.0-py3-none-any.whl (3.8 kB)\n",
            "Requirement already satisfied: future in /usr/local/lib/python3.10/dist-packages (from basicsr>=1.4.2->gfpgan==1.3.8->-r requirements.txt (line 21)) (0.18.3)\n",
            "Collecting filterpy (from facexlib>=0.2.5->gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading filterpy-1.4.5.zip (177 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m178.0/178.0 kB\u001b[0m \u001b[31m23.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "Requirement already satisfied: numba in /usr/local/lib/python3.10/dist-packages (from facexlib>=0.2.5->gfpgan==1.3.8->-r requirements.txt (line 21)) (0.56.4)\n",
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            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->insightface==0.7.3->-r requirements.txt (line 6)) (1.4.4)\n",
            "Requirement already satisfied: pyparsing>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from matplotlib->insightface==0.7.3->-r requirements.txt (line 6)) (3.1.1)\n",
            "Requirement already satisfied: python-dateutil>=2.7 in /usr/local/lib/python3.10/dist-packages (from matplotlib->insightface==0.7.3->-r requirements.txt (line 6)) (2.8.2)\n",
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            "Requirement already satisfied: imageio>=2.4.1 in /usr/local/lib/python3.10/dist-packages (from scikit-image->insightface==0.7.3->-r requirements.txt (line 6)) (2.31.1)\n",
            "Requirement already satisfied: tifffile>=2019.7.26 in /usr/local/lib/python3.10/dist-packages (from scikit-image->insightface==0.7.3->-r requirements.txt (line 6)) (2023.8.12)\n",
            "Requirement already satisfied: PyWavelets>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-image->insightface==0.7.3->-r requirements.txt (line 6)) (1.4.1)\n",
            "Requirement already satisfied: google-auth<3,>=1.6.3 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (2.17.3)\n",
            "Requirement already satisfied: google-auth-oauthlib<1.1,>=0.5 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (1.0.0)\n",
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            "Requirement already satisfied: tensorboard-data-server<0.8.0,>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (0.7.1)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->insightface==0.7.3->-r requirements.txt (line 6)) (3.2.0)\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->insightface==0.7.3->-r requirements.txt (line 6)) (2023.7.22)\n",
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            "Requirement already satisfied: triton==2.0.0 in /usr/local/lib/python3.10/dist-packages (from torch>=1.7->gfpgan==1.3.8->-r requirements.txt (line 21)) (2.0.0)\n",
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            "Requirement already satisfied: lit in /usr/local/lib/python3.10/dist-packages (from triton==2.0.0->torch>=1.7->gfpgan==1.3.8->-r requirements.txt (line 21)) (16.0.6)\n",
            "Requirement already satisfied: qudida>=0.0.4 in /usr/local/lib/python3.10/dist-packages (from albumentations->insightface==0.7.3->-r requirements.txt (line 6)) (0.0.4)\n",
            "Requirement already satisfied: opencv-python-headless>=4.1.1 in /usr/local/lib/python3.10/dist-packages (from albumentations->insightface==0.7.3->-r requirements.txt (line 6)) (4.8.0.76)\n",
            "Requirement already satisfied: humanfriendly>=9.1 in /usr/local/lib/python3.10/dist-packages (from coloredlogs->onnxruntime-gpu==1.15.1->-r requirements.txt (line 16)) (10.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.10/dist-packages (from prettytable->insightface==0.7.3->-r requirements.txt (line 6)) (0.2.6)\n",
            "Requirement already satisfied: joblib>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->insightface==0.7.3->-r requirements.txt (line 6)) (1.3.2)\n",
            "Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from scikit-learn->insightface==0.7.3->-r requirements.txt (line 6)) (3.2.0)\n",
            "Requirement already satisfied: mpmath>=0.19 in /usr/local/lib/python3.10/dist-packages (from sympy->onnxruntime-gpu==1.15.1->-r requirements.txt (line 16)) (1.3.0)\n",
            "Requirement already satisfied: importlib-metadata>=6.6.0 in /usr/local/lib/python3.10/dist-packages (from yapf->gfpgan==1.3.8->-r requirements.txt (line 21)) (6.8.0)\n",
            "Requirement already satisfied: platformdirs>=3.5.1 in /usr/local/lib/python3.10/dist-packages (from yapf->gfpgan==1.3.8->-r requirements.txt (line 21)) (3.10.0)\n",
            "Requirement already satisfied: tomli>=2.0.1 in /usr/local/lib/python3.10/dist-packages (from yapf->gfpgan==1.3.8->-r requirements.txt (line 21)) (2.0.1)\n",
            "Requirement already satisfied: cachetools<6.0,>=2.0.0 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (5.3.1)\n",
            "Requirement already satisfied: pyasn1-modules>=0.2.1 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (0.3.0)\n",
            "Requirement already satisfied: rsa<5,>=3.1.4 in /usr/local/lib/python3.10/dist-packages (from google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (4.9)\n",
            "Requirement already satisfied: requests-oauthlib>=0.7.0 in /usr/local/lib/python3.10/dist-packages (from google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (1.3.1)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.10/dist-packages (from importlib-metadata>=6.6.0->yapf->gfpgan==1.3.8->-r requirements.txt (line 21)) (3.16.2)\n",
            "Requirement already satisfied: MarkupSafe>=2.1.1 in /usr/local/lib/python3.10/dist-packages (from werkzeug>=1.0.1->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (2.1.3)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->gdown>=4.2.0->opennsfw2==0.10.2->-r requirements.txt (line 18)) (2.4.1)\n",
            "Requirement already satisfied: llvmlite<0.40,>=0.39.0dev0 in /usr/local/lib/python3.10/dist-packages (from numba->facexlib>=0.2.5->gfpgan==1.3.8->-r requirements.txt (line 21)) (0.39.1)\n",
            "INFO: pip is looking at multiple versions of numba to determine which version is compatible with other requirements. This could take a while.\n",
            "Collecting numba (from facexlib>=0.2.5->gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading numba-0.57.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl (3.6 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.6/3.6 MB\u001b[0m \u001b[31m98.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hCollecting llvmlite<0.41,>=0.40.0dev0 (from numba->facexlib>=0.2.5->gfpgan==1.3.8->-r requirements.txt (line 21))\n",
            "  Downloading llvmlite-0.40.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (42.1 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m42.1/42.1 MB\u001b[0m \u001b[31m16.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: PySocks!=1.5.7,>=1.5.6 in /usr/local/lib/python3.10/dist-packages (from requests->insightface==0.7.3->-r requirements.txt (line 6)) (1.7.1)\n",
            "Requirement already satisfied: pyasn1<0.6.0,>=0.4.6 in /usr/local/lib/python3.10/dist-packages (from pyasn1-modules>=0.2.1->google-auth<3,>=1.6.3->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (0.5.0)\n",
            "Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.10/dist-packages (from requests-oauthlib>=0.7.0->google-auth-oauthlib<1.1,>=0.5->tensorboard<2.14,>=2.13->tensorflow==2.13.0->-r requirements.txt (line 17)) (3.2.2)\n",
            "Building wheels for collected packages: insightface, basicsr, filterpy\n",
            "  Building wheel for insightface (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for insightface: filename=insightface-0.7.3-cp310-cp310-linux_x86_64.whl size=1053197 sha256=f0cebb12ee02df265bf7712a23b928d01e23a78ec1f2b090351cebc521994ddb\n",
            "  Stored in directory: /root/.cache/pip/wheels/e3/d0/80/e3773fb8b6d1cca87ea1d33d9b1f20a223a6493c896da249b5\n",
            "  Building wheel for basicsr (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for basicsr: filename=basicsr-1.4.2-py3-none-any.whl size=214817 sha256=7c709a8ca8d605d513f3acbed346ae93c0fe79532c9b32873775bd329e398cf1\n",
            "  Stored in directory: /root/.cache/pip/wheels/38/83/99/2d8437cc652a01af27df5ff037a4075e95b52d67705c5f30ca\n",
            "  Building wheel for filterpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for filterpy: filename=filterpy-1.4.5-py3-none-any.whl size=110459 sha256=b231664c836080b701cd1370f01ee2bb734a7a1e9e67938f5d3441cbc2af37ce\n",
            "  Stored in directory: /root/.cache/pip/wheels/0f/0c/ea/218f266af4ad626897562199fbbcba521b8497303200186102\n",
            "Successfully built insightface basicsr filterpy\n",
            "Installing collected packages: tk, lmdb, addict, typing-extensions, tqdm, tkinterdnd2, tensorflow-estimator, protobuf, pillow, numpy, llvmlite, keras, darkdetect, yapf, opencv-python, onnx, numba, customtkinter, tensorboard, tb-nightly, filterpy, tensorflow, opennsfw2, insightface, facexlib, basicsr, gfpgan\n",
            "  Attempting uninstall: typing-extensions\n",
            "    Found existing installation: typing_extensions 4.7.1\n",
            "    Uninstalling typing_extensions-4.7.1:\n",
            "      Successfully uninstalled typing_extensions-4.7.1\n",
            "  Attempting uninstall: tqdm\n",
            "    Found existing installation: tqdm 4.66.1\n",
            "    Uninstalling tqdm-4.66.1:\n",
            "      Successfully uninstalled tqdm-4.66.1\n",
            "  Attempting uninstall: tensorflow-estimator\n",
            "    Found existing installation: tensorflow-estimator 2.12.0\n",
            "    Uninstalling tensorflow-estimator-2.12.0:\n",
            "      Successfully uninstalled tensorflow-estimator-2.12.0\n",
            "  Attempting uninstall: protobuf\n",
            "    Found existing installation: protobuf 3.20.3\n",
            "    Uninstalling protobuf-3.20.3:\n",
            "      Successfully uninstalled protobuf-3.20.3\n",
            "  Attempting uninstall: pillow\n",
            "    Found existing installation: Pillow 9.4.0\n",
            "    Uninstalling Pillow-9.4.0:\n",
            "      Successfully uninstalled Pillow-9.4.0\n",
            "  Attempting uninstall: numpy\n",
            "    Found existing installation: numpy 1.23.5\n",
            "    Uninstalling numpy-1.23.5:\n",
            "      Successfully uninstalled numpy-1.23.5\n",
            "  Attempting uninstall: llvmlite\n",
            "    Found existing installation: llvmlite 0.39.1\n",
            "    Uninstalling llvmlite-0.39.1:\n",
            "      Successfully uninstalled llvmlite-0.39.1\n",
            "  Attempting uninstall: keras\n",
            "    Found existing installation: keras 2.12.0\n",
            "    Uninstalling keras-2.12.0:\n",
            "      Successfully uninstalled keras-2.12.0\n",
            "  Attempting uninstall: opencv-python\n",
            "    Found existing installation: opencv-python 4.8.0.76\n",
            "    Uninstalling opencv-python-4.8.0.76:\n",
            "      Successfully uninstalled opencv-python-4.8.0.76\n",
            "  Attempting uninstall: numba\n",
            "    Found existing installation: numba 0.56.4\n",
            "    Uninstalling numba-0.56.4:\n",
            "      Successfully uninstalled numba-0.56.4\n",
            "  Attempting uninstall: tensorboard\n",
            "    Found existing installation: tensorboard 2.12.3\n",
            "    Uninstalling tensorboard-2.12.3:\n",
            "      Successfully uninstalled tensorboard-2.12.3\n",
            "  Attempting uninstall: tensorflow\n",
            "    Found existing installation: tensorflow 2.12.0\n",
            "    Uninstalling tensorflow-2.12.0:\n",
            "      Successfully uninstalled tensorflow-2.12.0\n",
            "\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
            "pydantic 2.2.1 requires typing-extensions>=4.6.1, but you have typing-extensions 4.5.0 which is incompatible.\n",
            "pydantic-core 2.6.1 requires typing-extensions!=4.7.0,>=4.6.0, but you have typing-extensions 4.5.0 which is incompatible.\n",
            "tensorflow-metadata 1.14.0 requires protobuf<4.21,>=3.20.3, but you have protobuf 4.23.4 which is incompatible.\u001b[0m\u001b[31m\n",
            "\u001b[0mSuccessfully installed addict-2.4.0 basicsr-1.4.2 customtkinter-5.2.0 darkdetect-0.8.0 facexlib-0.3.0 filterpy-1.4.5 gfpgan-1.3.8 insightface-0.7.3 keras-2.13.1 llvmlite-0.40.1 lmdb-1.4.1 numba-0.57.1 numpy-1.24.3 onnx-1.14.0 opencv-python-4.8.0.74 opennsfw2-0.10.2 pillow-10.0.0 protobuf-4.23.4 tb-nightly-2.15.0a20230902 tensorboard-2.13.0 tensorflow-2.13.0 tensorflow-estimator-2.13.0 tk-0.1.0 tkinterdnd2-0.3.0 tqdm-4.65.0 typing-extensions-4.5.0 yapf-0.40.1\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.colab-display-data+json": {
              "pip_warning": {
                "packages": [
                  "PIL",
                  "numpy"
                ]
              }
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "!git clone https://github.com/FurkanGozukara/roop\n",
        "%cd roop\n",
        "#Tested and updated 23 August 2023 commit\n",
        "#!git checkout da1ef285f1d43bd0cc8b9cdb9a0f80f7ae793a97\n",
        "!pip install onnxruntime-gpu && pip install -r requirements.txt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Jul-_i9xMmV2"
      },
      "source": [
        "**You will see processing message at the end of below printed messages e.g. Processing:  43% 136/318 00:38<00:24, 7.47frame/s**\n",
        "\n",
        "**Make sure to upload root roop folder not inside the sub roop folder and don't forget to change image and video file names**\n",
        "\n",
        "**1 is best quality big video size, 100 worst quality low video size**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Is6U2huqSzLE",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c99e7f71-c55d-4860-a03f-373a2f76cd22"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/roop\n",
            "Downloading: 529MB [00:02, 204MB/s]               \n",
            "download_path: /root/.insightface/models/buffalo_l\n",
            "Downloading /root/.insightface/models/buffalo_l.zip from https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip...\n",
            "100% 281857/281857 [00:04<00:00, 67099.96KB/s]\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
            "set det-size: (640, 640)\n",
            "Pre-trained weights will be downloaded.\n",
            "Downloading...\n",
            "From: https://github.com/bhky/opennsfw2/releases/download/v0.1.0/open_nsfw_weights.h5\n",
            "To: /root/.opennsfw2/weights/open_nsfw_weights.h5\n",
            "100% 24.2M/24.2M [00:00<00:00, 60.2MB/s]\n"
          ]
        }
      ],
      "source": [
        "%cd \"/content/roop\"\n",
        "!python run.py -s \"IMG_2362.png\" -t \"IMG_2361.jpeg\" -o \"face_changed_video_v2.mp4\" --keep-frames --keep-fps --temp-frame-quality 1 --output-video-quality 1 --execution-provider cuda"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VJpNWHq1qdjT"
      },
      "source": [
        "**Below code will do also face restoration to improve quality significantly but it will take longer**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_j18G_uPqc37",
        "outputId": "2950a6d1-146b-4f59-932f-86e9d9a51f61"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/roop\n",
            "Downloading: 529MB [00:03, 177MB/s]               \n",
            "Downloading: 332MB [00:01, 217MB/s]               \n",
            "download_path: /root/.insightface/models/buffalo_l\n",
            "Downloading /root/.insightface/models/buffalo_l.zip from https://github.com/deepinsight/insightface/releases/download/v0.7/buffalo_l.zip...\n",
            "100% 281857/281857 [00:03<00:00, 79917.74KB/s]\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/1k3d68.onnx landmark_3d_68 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/2d106det.onnx landmark_2d_106 ['None', 3, 192, 192] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/det_10g.onnx detection [1, 3, '?', '?'] 127.5 128.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/genderage.onnx genderage ['None', 3, 96, 96] 0.0 1.0\n",
            "Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "find model: /root/.insightface/models/buffalo_l/w600k_r50.onnx recognition ['None', 3, 112, 112] 127.5 127.5\n",
            "set det-size: (640, 640)\n",
            "Pre-trained weights will be downloaded.\n",
            "Downloading...\n",
            "From: https://github.com/bhky/opennsfw2/releases/download/v0.1.0/open_nsfw_weights.h5\n",
            "To: /root/.opennsfw2/weights/open_nsfw_weights.h5\n",
            "100% 24.2M/24.2M [00:00<00:00, 48.9MB/s]\n",
            "100% 210/210 [00:03<00:00, 65.22it/s] \n",
            "[ROOP.CORE] Creating temporary resources...\n",
            "[ROOP.CORE] Extracting frames with 30.0 FPS...\n",
            "[ROOP.FACE-SWAPPER] Progressing...\n",
            "Processing:   0% 0/210 [00:00<?, ?frame/s]Applied providers: ['CUDAExecutionProvider', 'CPUExecutionProvider'], with options: {'CPUExecutionProvider': {}, 'CUDAExecutionProvider': {'device_id': '0', 'gpu_mem_limit': '18446744073709551615', 'gpu_external_alloc': '0', 'gpu_external_free': '0', 'gpu_external_empty_cache': '0', 'cudnn_conv_algo_search': 'EXHAUSTIVE', 'cudnn_conv1d_pad_to_nc1d': '0', 'arena_extend_strategy': 'kNextPowerOfTwo', 'do_copy_in_default_stream': '1', 'enable_cuda_graph': '0', 'cudnn_conv_use_max_workspace': '1', 'tunable_op_enable': '0', 'enable_skip_layer_norm_strict_mode': '0', 'tunable_op_tuning_enable': '0'}}\n",
            "inswapper-shape: [1, 3, 128, 128]\n",
            "Processing: 100% 210/210 [00:45<00:00,  4.63frame/s, memory_usage=05.27GB, execution_providers=['CUDAExecutionProvider'], execution_threads=8]\n",
            "[ROOP.FACE-ENHANCER] Progressing...\n",
            "Processing:   0% 0/210 [00:00<?, ?frame/s]Downloading: \"https://github.com/xinntao/facexlib/releases/download/v0.1.0/detection_Resnet50_Final.pth\" to /content/roop/gfpgan/weights/detection_Resnet50_Final.pth\n",
            "\n",
            "\n",
            "  0% 0.00/104M [00:00<?, ?B/s]\u001b[A\n",
            " 21% 22.3M/104M [00:00<00:00, 234MB/s]\u001b[A\n",
            " 46% 47.8M/104M [00:00<00:00, 254MB/s]\u001b[A\n",
            " 71% 74.6M/104M [00:00<00:00, 266MB/s]\u001b[A\n",
            "100% 104M/104M [00:00<00:00, 252MB/s]\n",
            "Downloading: \"https://github.com/xinntao/facexlib/releases/download/v0.2.2/parsing_parsenet.pth\" to /content/roop/gfpgan/weights/parsing_parsenet.pth\n",
            "\n",
            "\n",
            "  0% 0.00/81.4M [00:00<?, ?B/s]\u001b[A\n",
            " 16% 13.1M/81.4M [00:00<00:00, 138MB/s]\u001b[A\n",
            " 46% 37.1M/81.4M [00:00<00:00, 204MB/s]\u001b[A\n",
            "100% 81.4M/81.4M [00:00<00:00, 226MB/s]\n",
            "Processing: 100% 210/210 [01:58<00:00,  1.77frame/s, memory_usage=05.66GB, execution_providers=['CUDAExecutionProvider'], execution_threads=8]\n",
            "[ROOP.CORE] Creating video with 30.0 FPS...\n",
            "[ROOP.CORE] Restoring audio...\n",
            "[ROOP.CORE] Cleaning temporary resources...\n",
            "[ROOP.CORE] Processing to video succeed!\n"
          ]
        }
      ],
      "source": [
        "%cd \"/content/roop\"\n",
        "!python run.py -s \"Deg.JPG\" -t \"video.MOV\" -o \"final.mp4\" --keep-frames --keep-fps --temp-frame-quality 1 --output-video-quality 1 --execution-provider cuda --frame-processor face_swapper face_enhancer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "jr-63BTn8UEs"
      },
      "source": [
        "### All options are displayed below\n",
        "Append any of them to the above commands before executing\n",
        "```\n",
        "python run.py [options]\n",
        "\n",
        "-h, --help                                                                 show this help message and exit\n",
        "-s SOURCE_PATH, --source SOURCE_PATH                                       select an source image\n",
        "-t TARGET_PATH, --target TARGET_PATH                                       select an target image or video\n",
        "-o OUTPUT_PATH, --output OUTPUT_PATH                                       select output file or directory\n",
        "--frame-processor FRAME_PROCESSOR [FRAME_PROCESSOR ...]                    frame processors (choices: face_swapper, face_enhancer, ...)\n",
        "--keep-fps                                                                 keep target fps\n",
        "--keep-frames                                                              keep temporary frames\n",
        "--skip-audio                                                               skip target audio\n",
        "--many-faces                                                               process every face\n",
        "--reference-face-position REFERENCE_FACE_POSITION                          position of the reference face\n",
        "--reference-frame-number REFERENCE_FRAME_NUMBER                            number of the reference frame\n",
        "--similar-face-distance SIMILAR_FACE_DISTANCE                              face distance used for recognition\n",
        "--temp-frame-format {jpg,png}                                              image format used for frame extraction\n",
        "--temp-frame-quality [0-100]                                               image quality used for frame extraction\n",
        "--output-video-encoder {libx264,libx265,libvpx-vp9,h264_nvenc,hevc_nvenc}  encoder used for the output video\n",
        "--output-video-quality [0-100]                                             quality used for the output video\n",
        "--max-memory MAX_MEMORY                                                    maximum amount of RAM in GB\n",
        "--execution-provider {cpu} [{cpu} ...]                                     available execution provider (choices: cpu, ...)\n",
        "--execution-threads EXECUTION_THREADS                                      number of execution threads\n",
        "-v, --version                                                              show program's version number and exit\n",
        "  ```"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UdQ1VHdI8lCf"
      },
      "source": [
        "### Download generated images folder"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "id": "oYjWveAmw10X",
        "outputId": "a8b591fe-7c43-4a72-a7b9-f4111aa62e2a"
      },
      "outputs": [
        {
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "application/javascript": [
              "download(\"download_5b4ec731-e629-435c-9d30-4ddfb2b4fba7\", \"video3.zip.zip\", 863967701)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "import shutil\n",
        "import os\n",
        "from google.colab import files\n",
        "\n",
        "def zip_directory(directory_path, zip_path):\n",
        "    shutil.make_archive(zip_path, 'zip', directory_path)\n",
        "\n",
        "# Set the directory path you want to download\n",
        "directory_path = '/content/roop/video3'\n",
        "\n",
        "# Set the zip file name\n",
        "zip_filename = 'video3.zip'\n",
        "\n",
        "# Zip the directory\n",
        "zip_directory(directory_path, zip_filename)\n",
        "\n",
        "# Download the zip file\n",
        "files.download(zip_filename+'.zip')\n"
      ]
    }
  ],
  "metadata": {
    "accelerator": "GPU",
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}