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+{
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/nawnie/EveryDream/blob/main/EveryDream_Tools.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "uJfwih4wAVgw"
+      },
+      "source": [
+        "# Please read the documentation here before you start.\n",
+        "\n",
+        "I suggest reading this doc before you connect to your runtime to avoid using credits or being charged while you figure it out.\n",
+        "\n",
+        "[Auto Captioning Readme](doc/AUTO_CAPTION.md)\n",
+        "\n",
+        "This notebook requires an Nvidia GPU instance. Any will do, you don't need anything power.  As low as 4GB should be fine.\n",
+        "\n",
+        "Only colab has automatic file transfers at this time.  If you are using another platform, you will need to manually download your output files."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "lWGx2LuU8Q_I"
+      },
+      "outputs": [],
+      "source": [
+        "#download repo\n",
+        "!git clone https://github.com/victorchall/EveryDream.git\n",
+        "# Set working directory\n",
+        "%cd EveryDream"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "RJxfSai-8pkD"
+      },
+      "outputs": [],
+      "source": [
+        "# install requirements\n",
+        "!pip install torch=='1.12.1+cu113' 'torchvision==0.13.1+cu113' --extra-index-url https://download.pytorch.org/whl/cu113\n",
+        "!pip install pandas>='1.3.5'\n",
+        "!git clone https://github.com/salesforce/BLIP scripts/BLIP\n",
+        "!pip install timm\n",
+        "!pip install fairscale=='0.4.4'\n",
+        "!pip install transformers=='4.19.2'\n",
+        "!pip install timm\n",
+        "!pip install aiofiles"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "#Extract Frames from video\n",
+        "\n",
+        "Here we will use the folder input_vid and upload in the same way we did our images"
+      ],
+      "metadata": {
+        "id": "huQSI8Y-Bboz"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!python /scripts/extract_video_frames.py \\\n",
+        "--vid_dir input_vid \\\n",
+        "--out_dir output/vid \\\n",
+        "--format png \\\n",
+        "--interval 10 "
+      ],
+      "metadata": {
+        "id": "RDuBL4k8Avz-"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Move the extracted frames to the input directory for captions"
+      ],
+      "metadata": {
+        "id": "iqcUzcRuCTLR"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!cp -r output/vid input"
+      ],
+      "metadata": {
+        "id": "Uv8wAHSQAvrm"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "sbeUIVXJ-EVf"
+      },
+      "source": [
+        "# Upload your input images into the EveryDream/input folder\n",
+        "\n",
+        "![upload to input](https://github.com/victorchall/EveryDream/blob/main/demo/upload_images_caption.png?raw=1)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "bscWH13SAVgz"
+      },
+      "source": [
+        "## Please read the documentation for information on the parameters\n",
+        "\n",
+        "[Auto Captioning](doc/AUTO_CAPTION.md)\n",
+        "\n",
+        "*You cannot have commented lines between uncommented lines.  If you uncomment a line below, move it above any other commented lines.*\n",
+        "\n",
+        "*!python must remain the first line.*\n",
+        "\n",
+        "Default params should work fairly well."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "4TAICahl-RPn"
+      },
+      "outputs": [],
+      "source": [
+        "!python scripts/auto_caption.py \\\n",
+        "--img_dir input \\\n",
+        "--out_dir output \\\n",
+        "#--format mrwho \\\n",
+        "#--min_length 34 \\\n",
+        "#--q_factor 1.3 \\\n",
+        "#--nucleus \\\n",
+        "\n",
+        "## mutiple files can be targeted in succession\n",
+        "\n",
+        "#!python scripts/auto_caption.py \\\n",
+        "#--img_dir input/subfolder \\\n",
+        "#--out_dir output/subfolder \\\n",
+        "#--format mrwho \\\n",
+        "#--min_length 34 \\\n",
+        "#--q_factor 1.3 \\\n",
+        "#--nucleus \\"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Laion Downloader\n",
+        "\n",
+        "* --laion_dir: directory with laion parquet files, default is ./laion\n",
+        "\n",
+        "* --search_text: csv of words with AND logic, ex \\\"photo,man,dog\\\"\n",
+        "\n",
+        "* --out_dir: directory to download files to, ive defaulted this to inputs so they can be captioned \n",
+        "\n",
+        "* --log_dir: directory for logs, if ommitted will not log, logs may be large!\n",
+        "\n",
+        "* --column:column to search for matches, defaults is 'TEXT', but you could use 'URL' if you wanted\",\n",
+        "\n",
+        "* --limit: max number of matching images to download, warning: may be slightly imprecise due to concurrency and http errors, defaults is 100\n",
+        "\n",
+        "* --min_hw: min height AND width of image to download, default is 512\n",
+        "  \n",
+        "* --force: forces a full download of all images, even if no search is provided, USE CAUTION!\n",
+        "\n",
+        "* --parquet_skip: skips the first n parquet files on disk, useful to resume\n",
+        "        \n",
+        "* --verbose: additional logging of URL and TEXT \n",
+        "        \n",
+        "* --test: skips downloading, for checking filters, use with \"--verbose\"\n"
+      ],
+      "metadata": {
+        "id": "wY2f2LkPGSVa"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!python scripts/download_laion.py \\\n",
+        "--laion_dir ./laion \\\n",
+        "--search_text \"photo,man,dog\" \\\n",
+        "#--out_dir input \\\n",
+        "#--log_dir logs \\\n",
+        "#--column TEXT \\\n",
+        "#--limit 100 \\\n",
+        "#--min_hw 512 \\\n",
+        "#--force False \\\n",
+        "#--parquet_skip 0 \\\n",
+        "#--Verbose False \\\n",
+        "#--test not \\\n"
+      ],
+      "metadata": {
+        "id": "cxw60TTmEy2C"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Here we can take our now captioned images and replace generic terms with our subjects\n",
+        "\n",
+        "* --find: will search for a word in this case man\n",
+        "\n",
+        "* --replace: will replace our found word with in this case VictorChall\n",
+        "\n",
+        "* --append_only: this will allow us to add a tag at he end "
+      ],
+      "metadata": {
+        "id": "EBdLelNpDjYc"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!python scripts/filename_replace.py \\\n",
+        "--img_dir output \\\n",
+        "--find \"man\" \\\n",
+        "--replace \"VictorChall\""
+      ],
+      "metadata": {
+        "id": "6Y1md3OHAvhw"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Now we can chose to create text files based on our file names, this is usefull for images with very long discriptions or tag list, windows has a limit of 256 characters, and files will not transfer correctly to a windows program if they are longer, moving these files in a zip is fine however and causes no issues\n"
+      ],
+      "metadata": {
+        "id": "W0MspWmXJQuc"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!python scripts/createtxtfromfilename.py"
+      ],
+      "metadata": {
+        "id": "BpvenvyQJr9b"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "Compress our images "
+      ],
+      "metadata": {
+        "id": "boVkDsiWJ_-P"
+      }
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "/content/EveryDream/scripts/compress_img.py \\\n",
+        "--img_dir output \\\n",
+        "--out_dir output/compressed_images \\\n",
+        "--max_mp 1.5 \n",
+        "#--overwrite False \\\n",
+        "#--Quality 95  \\\n",
+        "#--noresize False \\\n",
+        "#--delete \\"
+      ],
+      "metadata": {
+        "id": "F6QYfylhKAII"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "HBrWnu1C_lN9"
+      },
+      "source": [
+        "## Download your DataSet from EveryDream/output\n",
+        "\n",
+        "If you're on a colab you can use the cell below to push your output to your Gdrive."
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "ldW2sDLcAVgz"
+      },
+      "outputs": [],
+      "source": [
+        "from google.colab import drive\n",
+        "drive.mount('/content/drive')\n",
+        "\n",
+        "!mkdir /content/drive/MyDrive/Auto_Data_sets\n",
+        "!cp -r output/ /content/drive/MyDrive/Auto_Data_sets"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "B-HFqbP4AVgz"
+      },
+      "source": [
+        "## If not on colab/gdrive, the following will zip up your files for extraction\n",
+        "\n",
+        "You'll still need to use your runtime's own download feature to download the zip.\n",
+        "\n",
+        "![output zip](https://github.com/victorchall/EveryDream/blob/main/demo/output_zip.png?raw=1)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "id": "SVa80mrKAVg0"
+      },
+      "outputs": [],
+      "source": [
+        "!pip install patool\n",
+        "\n",
+        "import patoolib\n",
+        "\n",
+        "!mkdir output/zip\n",
+        "\n",
+        "!zip -r output/zip/output.zip output"
+      ]
+    }
+  ],
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "display_name": "Python 3.10.5 ('.venv': venv)",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "name": "python",
+      "version": "3.10.5"
+    },
+    "vscode": {
+      "interpreter": {
+        "hash": "faf4a6abb601e3a9195ce3e9620411ceec233a951446de834cdf28542d2d93b4"
+      }
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 0
+}
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