correction token name example notebook collab

Author: EriveltonLima

examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb

@@ -3,16 +3,16 @@
     {
       "cell_type": "markdown",
       "metadata": {
-        "id": "view-in-github",
-        "colab_type": "text"
+        "colab_type": "text",
+        "id": "view-in-github"
       },
       "source": [
         "<a href=\"https://colab.research.google.com/github/EriveltonLima/dreambooth-tutorial/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
       ]
     },
     {
       "cell_type": "code",
-      "execution_count": 6,
+      "execution_count": null,
       "metadata": {
         "cellView": "form",
         "colab": {
@@ -21,15 +21,7 @@
         "id": "XU7NuMAA2drw",
         "outputId": "7ce212dc-baca-4b1b-9a4f-1ee7ea576cf7"
       },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "Tesla T4, 15109 MiB, 15109 MiB\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "#@markdown Check type of GPU and VRAM available.\n",
         "!nvidia-smi --query-gpu=name,memory.total,memory.free --format=csv,noheader"
@@ -57,16 +49,16 @@
       "cell_type": "code",
       "execution_count": 7,
       "metadata": {
-        "id": "aLWXPZqjsZVV",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "aLWXPZqjsZVV",
         "outputId": "855f2f61-ebc8-4149-9139-ca82ef70648a"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
             "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
@@ -121,8 +113,8 @@
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "\u001b[K     |████████████████████████████████| 113.2 MB 62 kB/s \n",
             "\u001b[?25h"
@@ -226,10 +218,10 @@
         "\n",
         "concepts_list = [\n",
         "    {\n",
-        "        \"instance_prompt\":      \"stableianaty\",\n",
+        "        \"instance_prompt\":      \"Tokenhugging\",\n",
         "        \"class_prompt\":         \"photo of a person\",\n",
-        "        \"instance_data_dir\":    \"/content/data/stableianaty\",\n",
-        "        \"class_data_dir\":       \"/content/data/dog\"\n",
+        "        \"instance_data_dir\":    \"/content/data/Tokenhugging\",\n",
+        "        \"class_data_dir\":       \"/content/data/person\"\n",
         "    },\n",
         "#     {\n",
         "#         \"instance_prompt\":      \"photo of ukj person\",\n",
@@ -280,16 +272,16 @@
       "cell_type": "code",
       "execution_count": 12,
       "metadata": {
-        "id": "jjcSXTp-u-Eg",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "jjcSXTp-u-Eg",
         "outputId": "9b88c5b3-fc94-496d-d48f-67a3aafb0805"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "The following values were not passed to `accelerate launch` and had defaults used instead:\n",
             "\t`--num_processes` was set to a value of `1`\n",
@@ -365,7 +357,7 @@
         "  --sample_batch_size=20 \\\n",
         "  --max_train_steps=800 \\\n",
         "  --save_interval=10000 \\\n",
-        "  --save_sample_prompt=\"stableianaty\" \\\n",
+        "  --save_sample_prompt=\"Tokenhugging\" \\\n",
         "  --concepts_list=\"concepts_list.json\"\n",
         "\n",
         "# Reduce the `--save_interval` to lower than `--max_train_steps` to save weights from intermediate steps.\n",
@@ -709,8 +701,8 @@
   "metadata": {
     "accelerator": "GPU",
     "colab": {
-      "provenance": [],
-      "include_colab_link": true
+      "include_colab_link": true,
+      "provenance": []
     },
     "kernelspec": {
       "display_name": "Python 3 (ipykernel)",
@@ -737,4 +729,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}