{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "4a9b3722-aba2-4772-9727-41f2e8e249ff",
      "metadata": {
        "id": "4a9b3722-aba2-4772-9727-41f2e8e249ff"
      },
      "outputs": [],
      "source": [
        "%%capture\n",
        "!sudo apt -qq install git-lfs\n",
        "!git config --global credential.helper store"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "9c54462f-073a-4ba9-a86e-791dcaa2cb4e",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9c54462f-073a-4ba9-a86e-791dcaa2cb4e",
        "outputId": "018e3f30-b674-4c5f-cbef-b4625b1c72f8"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting diffusers[torch]\n",
            "  Downloading diffusers-0.14.0-py3-none-any.whl (737 kB)\n",
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            "\u001b[?25hCollecting huggingface-hub>=0.10.0\n",
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            "Installing collected packages: huggingface-hub, accelerate, diffusers\n",
            "Successfully installed accelerate-0.17.1 diffusers-0.14.0 huggingface-hub-0.13.3\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting datasets\n",
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            "Collecting aiohttp\n",
            "  Downloading aiohttp-3.8.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.0 MB)\n",
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            "\u001b[?25hCollecting dill<0.3.7,>=0.3.0\n",
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            "\u001b[?25hCollecting xxhash\n",
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            "\u001b[?25hCollecting yarl<2.0,>=1.0\n",
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            "\u001b[?25hCollecting async-timeout<5.0,>=4.0.0a3\n",
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            "Installing collected packages: xxhash, multidict, frozenlist, dill, async-timeout, yarl, responses, multiprocess, aiosignal, aiohttp, datasets\n",
            "Successfully installed aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 datasets-2.10.1 dill-0.3.6 frozenlist-1.3.3 multidict-6.0.4 multiprocess-0.70.14 responses-0.18.0 xxhash-3.2.0 yarl-1.8.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting transformers\n",
            "  Downloading transformers-4.27.2-py3-none-any.whl (6.8 MB)\n",
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            "Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\n",
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            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->transformers) (2022.12.7)\n",
            "Installing collected packages: tokenizers, transformers\n",
            "Successfully installed tokenizers-0.13.2 transformers-4.27.2\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: diffusers in /usr/local/lib/python3.9/dist-packages (0.14.0)\n",
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            "Requirement already satisfied: numpy in /usr/local/lib/python3.9/dist-packages (from diffusers) (1.22.4)\n",
            "Requirement already satisfied: Pillow in /usr/local/lib/python3.9/dist-packages (from diffusers) (8.4.0)\n",
            "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.9/dist-packages (from diffusers) (2022.10.31)\n",
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            "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.9/dist-packages (from huggingface-hub>=0.10.0->diffusers) (4.5.0)\n",
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            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests->diffusers) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->diffusers) (2022.12.7)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->diffusers) (3.4)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting bitsandbytes\n",
            "  Downloading bitsandbytes-0.37.2-py3-none-any.whl (84.2 MB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m84.2/84.2 MB\u001b[0m \u001b[31m8.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: bitsandbytes\n",
            "Successfully installed bitsandbytes-0.37.2\n"
          ]
        }
      ],
      "source": [
        "# install envs \n",
        "!pip install diffusers[\"torch\"]\n",
        "!pip install accelerate\n",
        "!pip install datasets\n",
        "!pip install transformers\n",
        "!pip install diffusers\n",
        "!pip install bitsandbytes"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 3,
      "id": "de2b0b25-240c-48ef-aad7-45ca0ffe18c8",
      "metadata": {
        "id": "de2b0b25-240c-48ef-aad7-45ca0ffe18c8"
      },
      "outputs": [],
      "source": [
        "# imports\n",
        "import numpy as np\n",
        "import huggingface_hub\n",
        "from dataclasses import dataclass\n",
        "import torch.nn.functional as F\n",
        "import os\n",
        "from huggingface_hub import HfFolder, Repository, whoami"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "id": "a05731aa-5ae3-4e42-affe-10acce99861c",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "a05731aa-5ae3-4e42-affe-10acce99861c",
        "outputId": "1747f359-f218-4141-99ec-040ef977d8be"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Token is valid.\n",
            "Your token has been saved in your configured git credential helpers (store).\n",
            "Your token has been saved to /root/.cache/huggingface/token\n",
            "Login successful\n"
          ]
        }
      ],
      "source": [
        "# hugging_face login\n",
        "huggingface_hub.login('KEYS Here', True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "41f06de5-115a-454f-a40c-7ee5b392aece",
      "metadata": {
        "id": "41f06de5-115a-454f-a40c-7ee5b392aece"
      },
      "outputs": [],
      "source": [
        "# set config\n",
        "\n",
        "@dataclass\n",
        "class set_Config():\n",
        "    resolution = 512\n",
        "    gradient_accumlation_steps = 32\n",
        "    mixed_precision = 'fp16'\n",
        "    learning_rate = 1e-05\n",
        "    train_batch_size = 1\n",
        "    num_train_epochs = 1500\n",
        "    saved_every_epoch = 5\n",
        "    eval_every_epoch = 5\n",
        "    lr_scheduler = 'constant'\n",
        "    lr_warmup_steps = 0\n",
        "    push_to_hub = True\n",
        "    output_dir = './vivian'\n",
        "    local_dir = './local_vivian' # to save some local checkpoints to save some space for online repos\n",
        "    test = False # to save gpu resources when testing\n",
        "    pre_trained_path = 'CompVis/stable-diffusion-v1-4'\n",
        "    report_to = 'tensorboard'\n",
        "    logging_dir = './log'\n",
        "    repo_name = 'cQueenccc/Fine-Tune-Diffusion-Vivian' \n",
        "    dataset = \"cQueenccc/Vivian-Blip-Captions\"\n",
        "\n",
        "config = set_Config()\n",
        "\n",
        "os.mkdir(config.output_dir)\n",
        "os.mkdir(config.local_dir)\n",
        "\n",
        "if not config.test:\n",
        "    repo = Repository(config.output_dir, clone_from=config.repo_name)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 8,
      "id": "2147df50-a9c5-4fe9-8d0f-dc2137d19151",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 200,
          "referenced_widgets": [
            "39b552e9e4494d1eb8195f11ece65350",
            "6b5bece92d414581b1a3d1ff53cac4ab",
            "325d815ac6b943c1ae59335eba344258",
            "bb39d5228e0242d4b61e851d6363bd22",
            "b1a32173ca5147b981005d04d067a990",
            "a480199fedef4b5ab8e869531da46444",
            "cd4d3011450f404fbd1e2ede08405cda",
            "130d9f592a75432080b99c7d7bbb6e2d",
            "ec3f888ae36f48309e79b01869b42a10",
            "a319046557ac4f4ab4d94854de7cd5d2",
            "cab6f23d3c314d37919a172c0440d655",
            "e6400d4a9af14c3887810f2aff8e8056",
            "71d80793369540b0a4cdc2f0a41d05fb",
            "06412d301d764413a6c232942873866b",
            "6d41d66643ab49cabeb5491526b94891",
            "c1a99e5307af420994507edfc16d67b6",
            "0782effece184a91aa51566b42eed20c",
            "df589227333b4b549dc1073c6024592b",
            "dbf303c80c4e4ff691f8612c93cce41e",
            "e44dedfe591c4754992c9f70c0a94d77",
            "4f051460fc47416f92911f34dac4fee3",
            "7d5b32edf388464d955d35a9425896f1",
            "d8f0821e653544f7a7c6f4c710ff78f9",
            "377fb6ae568d418bac60e79f2e3c6eaf",
            "5e881ae4f5ae4f42a1ae1031f24007a0",
            "a767b4ab14044d01b3e715c201bb4b20",
            "af4e86048aca49e497247d4dd68cccbc",
            "36468aabb3af4e36b607af6667629ea3",
            "39469cf8779b45e29226ca7abddd8ec2",
            "cc72efb3ed7345c5b3213f86b8f68aa8",
            "f56fd8ae191345f2b340021b11c87fa7",
            "2fc16d7bc8504fc7a09d534858dc6284",
            "36bec39e25aa4cabbd5a9774a60b4a1a",
            "02f56516a08649cdad548c4b66b739fa",
            "f072d847c0e04572b9535c368ef2c06a",
            "600767d7ae7240eb96ce31b1f4243ed3",
            "8fa51601becb407d8d858b3e23701348",
            "c89f34d93f144420b4bea6dca31aa1f4",
            "2423c6135300402b807c219f40a4de61",
            "9f21a7474a314a179d89215d5a913515",
            "688e398d25714abfaf8a4f59648cef05",
            "1e669588305f481ebd8ad0c8aaa2aaec",
            "ebcd9abd724944fa9609d43290da739e",
            "03ff5fff018c41aeabbee9d688f0a1f9",
            "da6b368ca72740dcbdada0d459c09c55",
            "523778de2c594c509f0fe2416c669bbb",
            "9393dfa20d5d472f917cc9d7f5a13644",
            "8647c5a4772449b7add43e2b281312a0",
            "f9820d99d68d4ae0a5ab333d04af92fd",
            "540140b3a0774bf190754389fcda560b",
            "6dcad0a50034458c883b12b8ed624b53",
            "a511e629d8e541bda7e0b678bc0e69fc",
            "709eeabace6e4866bccace202e631631",
            "8cd32e90ee5742329d12a6180b581207",
            "8ecee8a10bc6436a92795eb5eeb8e027"
          ]
        },
        "id": "2147df50-a9c5-4fe9-8d0f-dc2137d19151",
        "outputId": "afad049b-2f71-4c29-ee35-bfb113eb549e"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading readme:   0%|          | 0.00/1.63k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "39b552e9e4494d1eb8195f11ece65350"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading and preparing dataset None/None to /content/data/cQueenccc___parquet/cQueenccc--Vivian-Blip-Captions-32b69f75ccd370e3/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading data files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "e6400d4a9af14c3887810f2aff8e8056"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading data:   0%|          | 0.00/171M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "d8f0821e653544f7a7c6f4c710ff78f9"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Extracting data files:   0%|          | 0/1 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "02f56516a08649cdad548c4b66b739fa"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Generating train split:   0%|          | 0/1087 [00:00<?, ? examples/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "da6b368ca72740dcbdada0d459c09c55"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Dataset parquet downloaded and prepared to /content/data/cQueenccc___parquet/cQueenccc--Vivian-Blip-Captions-32b69f75ccd370e3/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec. Subsequent calls will reuse this data.\n"
          ]
        }
      ],
      "source": [
        "# get dataset\n",
        "from datasets import load_dataset\n",
        "\n",
        "dataset = load_dataset(config.dataset, split='train', cache_dir = './data')\n",
        "\n",
        "if config.test:\n",
        "    dataset = dataset.select(range(100))"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 25,
      "id": "e5d0527f-3909-4372-a5bd-b66a2ea9ed3b",
      "metadata": {
        "id": "e5d0527f-3909-4372-a5bd-b66a2ea9ed3b"
      },
      "outputs": [],
      "source": [
        "# set random seeds \n",
        "seed = 9527\n",
        "np.random.seed(seed)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 26,
      "id": "4df0947b-0b29-44dc-967b-4f1260a6f21a",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 294
        },
        "id": "4df0947b-0b29-44dc-967b-4f1260a6f21a",
        "outputId": "30ead14e-d685-416f-9761-fb5525725260"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1152x288 with 4 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ],
      "source": [
        "# inspect the dataset\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "fig, axs = plt.subplots(1, 4, figsize =(16,4))\n",
        "indexs = np.random.randint(0, len(dataset), 4)\n",
        "sample_data = dataset[indexs]\n",
        "for i in range(len(indexs)):\n",
        "  axs[i].imshow(sample_data['image'][i])\n",
        "  axs[i].set_axis_off()\n",
        "  axs[i].text(0.5, -0.2, sample_data['caption'][i], fontsize=10, ha='center', transform=axs[i].transAxes)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 27,
      "id": "51af3351-f322-4321-ad27-f537c33b8ce5",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 145,
          "referenced_widgets": [
            "03121ba287234ef69e5fb995199b6426",
            "c93bcae761764605a3353ad76ef593b2",
            "d33eafce2bf743588e06d5fd1b9d8d2f",
            "686edc0c2d814ecaa4c3a240591e779d",
            "87f7dd5a98f641ce8e9f2b76c9042ab3",
            "d0b58cd9cefb434fbeb6134c9082042e",
            "5984f3a9cbda47f597a73a1e2c8df14e",
            "045def640cad4945a2b3d24057e129cd",
            "392fa83f1493462594aa0557a91f30a0",
            "f4bb8ca326214242ac1cb1654c0cae8a",
            "692762007c7b4af58241b8c04bd990b5",
            "49636b15fb7149a187bff50fc67c7de7",
            "0be231535a394221a0b69f783b72542b",
            "898ec2ff5a584f138603c83bb76ff140",
            "8eaaa694d8d44b89b24e6d524247feba",
            "78c288e1110e44c1a0eb0ef9e500071f",
            "644ec9dd39a349c3934843b6b4b442f4",
            "055e1a507f974c63a4011f311b26fe5a",
            "59203da7ae694296ad2ae95ee6574ec5",
            "90afe339792a496383681d01549582dd",
            "ab60e06db32c4bf1a6a53305d7ee6b55",
            "8c03848eb2cb4404854aa0018abb65a4",
            "361bcbd51122402d9de695b30c080e8f",
            "efbd4b5b51984613a275e2e2179d791c",
            "4d027cc63a934a338e5f6931b5e56ee3",
            "22bc12fb112549d0b99981c5b2eea5a7",
            "ceb7f8afa61d4366a73fea5f00d3611c",
            "06c1fc2a7fb0447e9fea091ca99fc504",
            "7527be4374454e07ba58115599f762d7",
            "54b83f97f8034c9288f18e0422b5b260",
            "895b8c18b461435a9e8ac37f399ba050",
            "bf00525aca3a4f0daa07e676220a9071",
            "503394cc3d18403a9bcb72b65a7bbc63",
            "b2a62bc54c1a4f18b64d1c9bc5c3d7bc",
            "439992327d734ede82d2a54ff3b12f10",
            "65ebf9a1124443e6bc4cd7a9f6cc6e8a",
            "2e93ebfd3b2d438386d48a5699466efc",
            "f3480d1c4f3a4798affc43f41fa268cb",
            "41b58bcc260242ce88ab6a813a736d4b",
            "c491f44e46494049be0d28b22f04d8c5",
            "22cf58740af74890b1e4d7f2ca3efb74",
            "af0265f6efe24f95a3c89f5210cf22ec",
            "66ef5e7ebee14a748f7105844aca980d",
            "7aed0b1b019d4776b75a3ff3cbf214ba"
          ]
        },
        "id": "51af3351-f322-4321-ad27-f537c33b8ce5",
        "outputId": "26a22c55-b4c0-4aa3-cebf-ceb4fc3a03c5"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)tokenizer/vocab.json:   0%|          | 0.00/1.06M [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "03121ba287234ef69e5fb995199b6426"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)tokenizer/merges.txt:   0%|          | 0.00/525k [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "49636b15fb7149a187bff50fc67c7de7"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)cial_tokens_map.json:   0%|          | 0.00/472 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "361bcbd51122402d9de695b30c080e8f"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Downloading (…)okenizer_config.json:   0%|          | 0.00/806 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "b2a62bc54c1a4f18b64d1c9bc5c3d7bc"
            }
          },
          "metadata": {}
        }
      ],
      "source": [
        "# transform functions {image -> tensor, text -> tokens}\n",
        "from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer\n",
        "import random\n",
        "from torchvision import transforms\n",
        "import torch\n",
        "\n",
        "tokenizer = CLIPTokenizer.from_pretrained(config.pre_trained_path, subfolder=\"tokenizer\")\n",
        "\n",
        "def tokenize_captions(examples, is_train=True):\n",
        "  captions = []\n",
        "  for caption in examples['caption']:\n",
        "    if isinstance(caption, str):\n",
        "      captions.append(caption)\n",
        "    elif isinstance(caption, (list, np.ndarray)):\n",
        "      captions.append(random.choice(caption) if is_train else caption[0])\n",
        "    else:\n",
        "      raise ValueError(\n",
        "          \"text should be either strings or lists of strings\"\n",
        "      )\n",
        "  inputs = tokenizer(captions, max_length=tokenizer.model_max_length, padding='do_not_pad', truncation=True)\n",
        "  input_ids = inputs.input_ids\n",
        "  return input_ids\n",
        "\n",
        "preprocess = transforms.Compose(\n",
        "    [\n",
        "        transforms.RandomCrop(config.resolution * 1.18),\n",
        "        transforms.Resize((config.resolution, config.resolution), interpolation = transforms.InterpolationMode.BILINEAR),\n",
        "        transforms.ToTensor(),\n",
        "        transforms.Normalize([0.5], [0.5])\n",
        "    ]\n",
        ")\n",
        "\n",
        "# prepare for the dataloader to load the data form a map based dataset\n",
        "def collate_fn(examples):\n",
        "    pixel_values = torch.stack([example[\"pixel_values\"] for example in examples])\n",
        "    pixel_values = pixel_values.to(memory_format=torch.contiguous_format).float()\n",
        "    input_ids = [example[\"input_ids\"] for example in examples]\n",
        "    padded_tokens = tokenizer.pad({\"input_ids\": input_ids}, padding=True, return_tensors=\"pt\")\n",
        "    return {\n",
        "        \"pixel_values\": pixel_values,\n",
        "        \"input_ids\": padded_tokens.input_ids\n",
        "    }"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 28,
      "id": "815799d0-f2de-465d-a732-1235e2e85c77",
      "metadata": {
        "id": "815799d0-f2de-465d-a732-1235e2e85c77"
      },
      "outputs": [],
      "source": [
        "# data preprocess \n",
        "\n",
        "def transform(examples):\n",
        "  images = [preprocess(image.convert('RGB')) for image in examples['image']]\n",
        "  captions = tokenize_captions(examples)\n",
        "  return {'pixel_values': images,\n",
        "          'input_ids': captions}\n",
        "\n",
        "dataset.set_transform(transform)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "62bd9490-fd06-4ae2-9463-846adc38ad51",
      "metadata": {
        "id": "62bd9490-fd06-4ae2-9463-846adc38ad51",
        "outputId": "0a4b4bfb-e6ba-4d1a-dcd0-33dd4919588d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1152x288 with 4 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          },
          "output_type": "display_data"
        }
      ],
      "source": [
        "# inspect the transformed dataset\n",
        "\n",
        "fig, axs = plt.subplots(1, 4, figsize =(16,4))\n",
        "sample_data = dataset[indexs]\n",
        "for i, image in enumerate(sample_data[\"pixel_values\"]):\n",
        "  axs[i].imshow(image.permute(1, 2, 0).numpy() / 2 + 0.5)\n",
        "  axs[i].set_axis_off()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b136e1e0-b54c-457f-9a70-d52e95d895c1",
      "metadata": {
        "id": "b136e1e0-b54c-457f-9a70-d52e95d895c1"
      },
      "outputs": [],
      "source": [
        "# pre-define the promts during eval\n",
        "\n",
        "import torch\n",
        "\n",
        "train_dataloader = torch.utils.data.DataLoader(dataset, batch_size=config.train_batch_size, shuffle=True, collate_fn=collate_fn)\n",
        "\n",
        "val_promts = ['Yoda',\n",
        "'Obama',\n",
        "'Elon Musk',\n",
        "'A woman walking down the street',\n",
        "'A child in a car',\n",
        "\"a group of people getting on a bus\",\n",
        "'two men working on a construction site']\n",
        "\n",
        "val_promts = [x.strip() for x in val_promts]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e9cea7ed-e75c-4d7b-b69d-73ce054e6757",
      "metadata": {
        "id": "e9cea7ed-e75c-4d7b-b69d-73ce054e6757"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "from accelerate import Accelerator\n",
        "logging_dir = os.path.join(config.output_dir, 'log')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "fa0952a9-c15f-4e47-bbd6-7c2e16aaf146",
      "metadata": {
        "id": "fa0952a9-c15f-4e47-bbd6-7c2e16aaf146"
      },
      "outputs": [],
      "source": [
        "# preparing the models from pretrained checkpoints\n",
        "\n",
        "from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer\n",
        "from diffusers import AutoencoderKL, DDPMScheduler, PNDMScheduler, StableDiffusionPipeline, UNet2DConditionModel\n",
        "from diffusers.optimization import get_scheduler\n",
        "from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker\n",
        "import math\n",
        "\n",
        "text_encoder = CLIPTextModel.from_pretrained(config.pre_trained_path, subfolder=\"text_encoder\")\n",
        "vae = AutoencoderKL.from_pretrained(config.pre_trained_path, subfolder=\"vae\")\n",
        "unet = UNet2DConditionModel.from_pretrained(config.pre_trained_path, subfolder=\"unet\")\n",
        "\n",
        "# Freeze vae and text_encoder\n",
        "vae.requires_grad_(False)\n",
        "text_encoder.requires_grad_(False)\n",
        "unet.enable_gradient_checkpointing()\n",
        "\n",
        "optimizer = torch.optim.AdamW(unet.parameters(), lr=config.learning_rate,  betas=(0.9, 0.999), weight_decay=1e-2, eps=1e-08)\n",
        "\n",
        "noise_scheduler = DDPMScheduler(\n",
        "        beta_start=0.00085, beta_end=0.012, beta_schedule=\"scaled_linear\", num_train_timesteps=1000\n",
        "    )\n",
        "\n",
        "num_update_steps_per_epoch = math.ceil(len(train_dataloader) / config.gradient_accumlation_steps)\n",
        "config.max_train_steps = config.num_train_epochs * num_update_steps_per_epoch\n",
        "lr_scheduler = get_scheduler(\n",
        "        \"linear\",\n",
        "        optimizer=optimizer,\n",
        "        num_warmup_steps=config.lr_warmup_steps * config.gradient_accumlation_steps,\n",
        "        num_training_steps=config.max_train_steps * config.gradient_accumlation_steps,\n",
        "    )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "d8155cee-6db6-4ed8-9fa8-c874f909adb4",
      "metadata": {
        "id": "d8155cee-6db6-4ed8-9fa8-c874f909adb4"
      },
      "outputs": [],
      "source": [
        "# eval\n",
        "def eval(config, epoch, promts, text_encoder, vae, unet, toknizer, device=None, repo=None):\n",
        "    pipeline = StableDiffusionPipeline(\n",
        "                text_encoder=text_encoder,\n",
        "                vae=vae,\n",
        "                unet=unet,\n",
        "                tokenizer=tokenizer,\n",
        "                scheduler=PNDMScheduler(\n",
        "                    beta_start=0.00085, beta_end=0.012, beta_schedule=\"scaled_linear\", skip_prk_steps=True\n",
        "                ),\n",
        "                safety_checker=StableDiffusionSafetyChecker.from_pretrained(\"CompVis/stable-diffusion-safety-checker\"),\n",
        "                feature_extractor=CLIPFeatureExtractor.from_pretrained(\"openai/clip-vit-base-patch32\"),\n",
        "            )\n",
        "  \n",
        "    n_samples, scale, steps = 1, 7.5, 50\n",
        "    if device is not None:\n",
        "        pipeline.to(device)\n",
        "\n",
        "    for prompt in promts:\n",
        "        os.makedirs(f\"{config.output_dir}/eval/{prompt}\", exist_ok=True)\n",
        "        images = pipeline(prompt, guidance_scale=scale, num_inference_steps=steps).images\n",
        "        \n",
        "        for idx, im in enumerate(images):\n",
        "            im.save(f\"{config.output_dir}/eval/{prompt}/{prompt}_{epoch}_{idx:06}.png\")\n",
        "    \n",
        "    \n",
        "    pipeline.save_pretrained(os.path.join(config.output_dir, 'saved_model'))\n",
        "    pipeline.save_pretrained(os.path.join(config.local_dir, f'saved_model_{epoch}'))\n",
        "    del pipeline\n",
        "    \n",
        "    if repo is not None:\n",
        "        repo.push_to_hub(commit_message=f\"Epoch {epoch}\", blocking=False, auto_lfs_prune=True)\n",
        "    \n",
        "    \n",
        "test = False\n",
        "if test:\n",
        "    eval(config, -1, val_promts, text_encoder, vae, unet, tokenizer, 'cuda')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9ca5112f-7283-4f5b-b860-0f9ef496665e",
      "metadata": {
        "id": "9ca5112f-7283-4f5b-b860-0f9ef496665e"
      },
      "outputs": [],
      "source": [
        "# train loop\n",
        "from tqdm.auto import tqdm\n",
        "import os\n",
        "\n",
        "def train_loop(config, noise_scheduler, optimizer, train_dataloader, lr_scheduler,\n",
        "               prompts, text_encoder, vae, unet, toknizer, repo):\n",
        "    accelerator = Accelerator(\n",
        "        gradient_accumulation_steps=config.gradient_accumlation_steps,\n",
        "        mixed_precision='fp16', #whether to use a mixed precision (fp16 & bf16)\n",
        "        log_with=config.report_to, # usually go to the tensorborad\n",
        "        logging_dir=os.path.join(config.output_dir, \"logs\")\n",
        "    )\n",
        "\n",
        "    if accelerator.is_main_process:\n",
        "        accelerator.init_trackers(\"train_example\")\n",
        "\n",
        "    vae.to(accelerator.device)\n",
        "    text_encoder.to(accelerator.device)\n",
        "\n",
        "    unet, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(\n",
        "        unet, optimizer, train_dataloader, lr_scheduler\n",
        "    )\n",
        "\n",
        "    #ema_unet = EMAModel(unet)\n",
        "\n",
        "    global_step = 0 \n",
        "\n",
        "    for epoch in range(config.num_train_epochs):\n",
        "        progress_bar = tqdm(total=num_update_steps_per_epoch, disable=not accelerator.is_local_main_process)\n",
        "        progress_bar.set_description(f\"Epoch {epoch}\")\n",
        "        train_loss = 0.0\n",
        "\n",
        "        for step, batch in enumerate(train_dataloader):\n",
        "\n",
        "            unet.train()\n",
        "\n",
        "            # accumulate the gradient to simulate batch gradient descent \n",
        "            with accelerator.accumulate(unet):\n",
        "             # Predict the noise residual\n",
        "                imgs = batch['pixel_values']\n",
        "\n",
        "                # compute the latents using the pretrained vae\n",
        "                latents = vae.encode(imgs).latent_dist.sample()\n",
        "                latents = 0.18215 * latents\n",
        "\n",
        "                # generate the noise for reparameterized trick\n",
        "                noise = torch.randn_like(latents)\n",
        "                bsz = latents.shape[0]\n",
        "\n",
        "                # get the noisy latents using scheduler\n",
        "                timesteps = torch.randint(0, noise_scheduler.num_train_timesteps, (bsz,), device = latents.device).long()\n",
        "                noisy_latents = noise_scheduler.add_noise(latents, noise, timesteps)\n",
        "\n",
        "                # predict the original image under the condition of the caption's embedding\n",
        "                encoder_hiddenstates = text_encoder(batch['input_ids'])[0]\n",
        "                noisy_pred = unet(noisy_latents, timesteps, encoder_hiddenstates).sample\n",
        "                \n",
        "                loss = F.mse_loss(noisy_pred, noise, reduction=\"mean\")\n",
        "                avg_loss = accelerator.gather(loss.repeat(config.train_batch_size)).mean()\n",
        "                train_loss += avg_loss.item() / config.gradient_accumlation_steps\n",
        "                \n",
        "                accelerator.backward(loss)\n",
        "                \n",
        "                if accelerator.sync_gradients:\n",
        "                    accelerator.clip_grad_norm_(unet.parameters(), 1.0)\n",
        "                    \n",
        "                optimizer.step()\n",
        "                lr_scheduler.step()\n",
        "                optimizer.zero_grad()\n",
        "            \n",
        "            if accelerator.sync_gradients:\n",
        "                progress_bar.update(1)\n",
        "                global_step += 1\n",
        "                train_loss = 0.0\n",
        "                \n",
        "                logs = {\"loss\": loss.detach().item(), \"lr\": lr_scheduler.get_last_lr()[0], \"step\": global_step}\n",
        "                accelerator.log(logs, step=global_step)\n",
        "                progress_bar.set_postfix(**logs)\n",
        "\n",
        "\n",
        "        if accelerator.is_main_process:\n",
        "            # eval the image and uplaod the model to the repo\n",
        "            if (epoch + 1) % config.eval_every_epoch == 0 or epoch == config.num_train_epochs - 1:\n",
        "                eval(config, epoch+1, prompts, text_encoder, vae, unet, toknizer, accelerator.device, repo)"
      ]
    },
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        "outputId": "ebbda1e7-17df-4406-b44e-755a8018a7db"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Launching training on one GPU.\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/home/ubuntu/.local/lib/python3.8/site-packages/accelerate/accelerator.py:243: FutureWarning: `logging_dir` is deprecated and will be removed in version 0.18.0 of 🤗 Accelerate. Use `project_dir` instead.\n",
            "  warnings.warn(\n"
          ]
        },
        {
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              "model_id": "1547b2006ab44086ab763bbe64871b33",
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            "text/plain": [
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            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n"
          ]
        },
        {
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            "text/plain": [
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            ]
          },
          "metadata": {},
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        },
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        {
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          "text": [
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/.ipynb_checkpoints/A child in a car_5_000000-checkpoint.png', 'eval/A child in a car/A child in a car_5_000000.png', 'eval/A woman walking down the street/A woman walking down the street_5_000000.png', 'eval/Elon Musk/Elon Musk_5_000000.png', 'eval/Obama/Obama_5_000000.png', 'eval/Yoda/Yoda_5_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_5_000000.png', 'eval/two men working on a construction site/two men working on a construction site_5_000000.png']. This may take a bit of time if the files are large.\n"
          ]
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
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            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "text": [
            "Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\n"
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          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_10_000000.png', 'eval/A woman walking down the street/.ipynb_checkpoints/A woman walking down the street_5_000000-checkpoint.png', 'eval/A woman walking down the street/A woman walking down the street_10_000000.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_5_000000-checkpoint.png', 'eval/Elon Musk/Elon Musk_10_000000.png', 'eval/Obama/.ipynb_checkpoints/Obama_5_000000-checkpoint.png', 'eval/Obama/Obama_10_000000.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_5_000000-checkpoint.png', 'eval/Yoda/Yoda_10_000000.png', 'eval/a group of people getting on a bus/.ipynb_checkpoints/a group of people getting on a bus_5_000000-checkpoint.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_10_000000.png', 'eval/two men working on a construction site/.ipynb_checkpoints/two men working on a construction site_5_000000-checkpoint.png', 'eval/two men working on a construction site/two men working on a construction site_10_000000.png']. This may take a bit of time if the files are large.\n"
          ]
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        {
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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          "output_type": "stream",
          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_15_000000.png', 'eval/A woman walking down the street/A woman walking down the street_15_000000.png', 'eval/Elon Musk/Elon Musk_15_000000.png', 'eval/Obama/Obama_15_000000.png', 'eval/Yoda/Yoda_15_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_15_000000.png', 'eval/two men working on a construction site/two men working on a construction site_15_000000.png']. This may take a bit of time if the files are large.\n"
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
          ]
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          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_20_000000.png', 'eval/A woman walking down the street/A woman walking down the street_20_000000.png', 'eval/Elon Musk/Elon Musk_20_000000.png', 'eval/Obama/Obama_20_000000.png', 'eval/Yoda/Yoda_20_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_20_000000.png', 'eval/two men working on a construction site/two men working on a construction site_20_000000.png']. This may take a bit of time if the files are large.\n"
          ]
        },
        {
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "text": [
            "Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\n"
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          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_25_000000.png', 'eval/A woman walking down the street/A woman walking down the street_25_000000.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_20_000000-checkpoint.png', 'eval/Elon Musk/Elon Musk_25_000000.png', 'eval/Obama/.ipynb_checkpoints/Obama_20_000000-checkpoint.png', 'eval/Obama/Obama_25_000000.png', 'eval/Yoda/Yoda_25_000000.png', 'eval/a group of people getting on a bus/.ipynb_checkpoints/a group of people getting on a bus_20_000000-checkpoint.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_25_000000.png', 'eval/two men working on a construction site/.ipynb_checkpoints/two men working on a construction site_20_000000-checkpoint.png', 'eval/two men working on a construction site/two men working on a construction site_25_000000.png']. This may take a bit of time if the files are large.\n"
          ]
        },
        {
          "data": {
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              "model_id": "1bc2bb27ffdf43e694d2230c71134f76",
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          "name": "stderr",
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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        {
          "name": "stderr",
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          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_30_000000.png', 'eval/A woman walking down the street/A woman walking down the street_30_000000.png', 'eval/Elon Musk/Elon Musk_30_000000.png', 'eval/Obama/Obama_30_000000.png', 'eval/Yoda/Yoda_30_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_30_000000.png', 'eval/two men working on a construction site/two men working on a construction site_30_000000.png']. This may take a bit of time if the files are large.\n"
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
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            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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          "output_type": "stream",
          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_35_000000.png', 'eval/A woman walking down the street/A woman walking down the street_35_000000.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_10_000000-checkpoint.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_15_000000-checkpoint.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_25_000000-checkpoint.png', 'eval/Elon Musk/.ipynb_checkpoints/Elon Musk_30_000000-checkpoint.png', 'eval/Elon Musk/Elon Musk_35_000000.png', 'eval/Obama/Obama_35_000000.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_10_000000-checkpoint.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_15_000000-checkpoint.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_20_000000-checkpoint.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_25_000000-checkpoint.png', 'eval/Yoda/.ipynb_checkpoints/Yoda_30_000000-checkpoint.png', 'eval/Yoda/Yoda_35_000000.png', 'eval/a group of people getting on a bus/.ipynb_checkpoints/a group of people getting on a bus_25_000000-checkpoint.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_35_000000.png', 'eval/two men working on a construction site/two men working on a construction site_35_000000.png']. This may take a bit of time if the files are large.\n"
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_40_000000.png', 'eval/A woman walking down the street/A woman walking down the street_40_000000.png', 'eval/Elon Musk/Elon Musk_40_000000.png', 'eval/Obama/Obama_40_000000.png', 'eval/Yoda/Yoda_40_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_40_000000.png', 'eval/two men working on a construction site/two men working on a construction site_40_000000.png']. This may take a bit of time if the files are large.\n"
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          "text": [
            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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        {
          "name": "stderr",
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          "text": [
            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "text": [
            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_45_000000.png', 'eval/A woman walking down the street/A woman walking down the street_45_000000.png', 'eval/Elon Musk/Elon Musk_45_000000.png', 'eval/Obama/Obama_45_000000.png', 'eval/Yoda/Yoda_45_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_45_000000.png', 'eval/two men working on a construction site/two men working on a construction site_45_000000.png']. This may take a bit of time if the files are large.\n"
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            "`text_config_dict` is provided which will be used to initialize `CLIPTextConfig`. The value `text_config[\"id2label\"]` will be overriden.\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.\n",
            "  warnings.warn(\n",
            "/home/ubuntu/.local/lib/python3.8/site-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py:106: FutureWarning: The configuration file of this scheduler: PNDMScheduler {\n",
            "  \"_class_name\": \"PNDMScheduler\",\n",
            "  \"_diffusers_version\": \"0.14.0\",\n",
            "  \"beta_end\": 0.012,\n",
            "  \"beta_schedule\": \"scaled_linear\",\n",
            "  \"beta_start\": 0.00085,\n",
            "  \"num_train_timesteps\": 1000,\n",
            "  \"prediction_type\": \"epsilon\",\n",
            "  \"set_alpha_to_one\": false,\n",
            "  \"skip_prk_steps\": true,\n",
            "  \"steps_offset\": 0,\n",
            "  \"trained_betas\": null\n",
            "}\n",
            " is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file\n",
            "  deprecate(\"steps_offset!=1\", \"1.0.0\", deprecation_message, standard_warn=False)\n"
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            "/usr/lib/python3/dist-packages/torch/utils/checkpoint.py:25: UserWarning: None of the inputs have requires_grad=True. Gradients will be None\n",
            "  warnings.warn(\"None of the inputs have requires_grad=True. Gradients will be None\")\n"
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          "text": [
            "Potential NSFW content was detected in one or more images. A black image will be returned instead. Try again with a different prompt and/or seed.\n"
          ]
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            "Adding files tracked by Git LFS: ['eval/A child in a car/A child in a car_50_000000.png', 'eval/A woman walking down the street/A woman walking down the street_50_000000.png', 'eval/Elon Musk/Elon Musk_50_000000.png', 'eval/Obama/Obama_50_000000.png', 'eval/Yoda/Yoda_50_000000.png', 'eval/a group of people getting on a bus/a group of people getting on a bus_50_000000.png', 'eval/two men working on a construction site/two men working on a construction site_50_000000.png']. This may take a bit of time if the files are large.\n"
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        "from accelerate import notebook_launcher\n",
        "args = (config, noise_scheduler, optimizer, train_dataloader, lr_scheduler, val_promts, text_encoder, vae, unet, tokenizer, repo)\n",
        "\n",
        "notebook_launcher(train_loop, args, num_processes=1)"
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