Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Jupyter Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -28,7 +28,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# @title ⚄ Initialize\n",
+        "# @title ⚄ 🔄 Initialize\n",
         "\n",
         "import os\n",
         "home_directory = '/content/'\n",
@@ -91,32 +91,16 @@
         "#------#\n",
         "dot_dtype = torch.float32\n",
         "dim = 768\n",
-        "ref = torch.zeros(dim).to(dtype = dot_dtype)"
-      ],
-      "metadata": {
-        "id": "TC5lMJrS1HCC",
-        "cellView": "form"
-      },
-      "execution_count": null,
-      "outputs": []
-    },
-    {
-      "cell_type": "markdown",
-      "source": [
-        "The visualization has no effect on the output. It will only be used if you enable the 'Show encoding' checkbox"
-      ],
-      "metadata": {
-        "id": "OpOoRmaP3u2H"
-      }
-    },
-    {
-      "cell_type": "code",
-      "source": [
-        "# @title ⚄ Define parameters for visalizing the reference in a 16x16 grid <br> (the visualization settings has no effect on output)\n",
+        "ref = torch.zeros(dim).to(dtype = dot_dtype)\n",
+        "\n",
+        "# title ⚄  Define parameters for visalizing the reference in a 16x16 grid <br> (the visualization settings has no effect on output)\n",
         "from PIL import Image, ImageDraw\n",
-        "SCALE = 0.0002 # @param {type:\"slider\", min:0.0001, max:0.001, step:0.00001}\n",
-        "ZERO_POINT = 100 # @param {type:\"slider\", min:0, max:300, step:1}\n",
+        "SCALE = 0.0002 # param {type:\"slider\", min:0.0001, max:0.001, step:0.00001}\n",
+        "ZERO_POINT = 100 # param {type:\"slider\", min:0, max:300, step:1}\n",
         "CELL_SIZE = 16\n",
+        "image_size = 0.5 # param {type:\"slider\", min:0, max:1, step:0.01}\n",
+        "show_encoding = False # param {type:\"boolean\"}\n",
+        "#------#\n",
         "\n",
         "BORDER_THICKNESS = 4\n",
         "\n",
@@ -154,9 +138,7 @@
         "try: ref\n",
         "except: ref =  torch.zeros(dim).to(dtype = dot_dtype)\n",
         "\n",
-        "image_size = 0.5 # @param {type:\"slider\", min:0, max:1, step:0.01}\n",
-        "show_encoding = True # @param {type:\"boolean\"}\n",
-        "#------#\n",
+        "\n",
         "if show_encoding:\n",
         "  # create figure\n",
         "  fig = plt.figure(figsize=(10*image_size, 10*image_size))\n",
@@ -177,12 +159,21 @@
         "print(f'Using settings SCALE = {SCALE} and ZERO_POINT = {ZERO_POINT} for visualizing the text_encoding')"
       ],
       "metadata": {
-        "id": "YDu8XlehhWID",
+        "id": "TC5lMJrS1HCC",
         "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "The visualization has no effect on the output. It will only be used if you enable the 'Show encoding' checkbox"
+      ],
+      "metadata": {
+        "id": "OpOoRmaP3u2H"
+      }
+    },
     {
       "cell_type": "markdown",
       "source": [
@@ -196,7 +187,7 @@
     {
       "cell_type": "code",
       "source": [
-        "\n",
+        "# @title ⚄ 🧩 Create an encoding\n",
         "# @markdown 📝 Write a text prompt (this will overwrite any savefile already stored)\n",
         "NEW_ENCODING = '' # @param {type:'string' ,placeholder:'write a prompt'}\n",
         "enable = True # @param {type:\"boolean\"}\n",
@@ -301,7 +292,8 @@
         "\n"
       ],
       "metadata": {
-        "id": "Oxi6nOyrUTAe"
+        "id": "Oxi6nOyrUTAe",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -318,7 +310,7 @@
     {
       "cell_type": "code",
       "source": [
-        "\n",
+        "# @title ⚄ 📷💭 Use pre-encoded image+prompt pair\n",
         "loaded_ref = False\n",
         "try:\n",
         "  ref\n",
@@ -386,7 +378,8 @@
         "  #------#\n"
       ],
       "metadata": {
-        "id": "BwrEs5zVB0Sb"
+        "id": "BwrEs5zVB0Sb",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -403,7 +396,7 @@
     {
       "cell_type": "code",
       "source": [
-        "\n",
+        "# @title ⚄ 🌐🖼️ Load an image via URL\n",
         "loaded_ref = False\n",
         "try:\n",
         "  ref\n",
@@ -464,7 +457,8 @@
         "    #------#"
       ],
       "metadata": {
-        "id": "IqUsiQw2HU2C"
+        "id": "IqUsiQw2HU2C",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -481,7 +475,7 @@
     {
       "cell_type": "code",
       "source": [
-        "\n",
+        "# @title ⚄ 📂🖼️ Use an uploaded image as reference\n",
         "loaded_ref = False\n",
         "try:\n",
         "  ref\n",
@@ -546,7 +540,8 @@
         "    #------#"
       ],
       "metadata": {
-        "id": "I_-GOwFPKkha"
+        "id": "I_-GOwFPKkha",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -563,7 +558,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# @title ⚄ Save the reference\n",
+        "# @title ⚄ 💾 Save the reference\n",
         "\n",
         "loaded_ref = False\n",
         "try:\n",
@@ -624,7 +619,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# @title ⚄ CLIP Interrogator\n",
+        "# @title ⚄ 🕵️‍♂️ Run the CLIP Interrogator\n",
         "LIST_SIZE = 1000  # @param {type:'number' , placeholder:'set how large the list should be'}\n",
         "_START_AT = '0' # @param [\"0\", \"10000\", \"50000\"] {allow-input: true}\n",
         "START_AT = 0\n",
@@ -817,7 +812,8 @@
         "image\n"
       ],
       "metadata": {
-        "id": "kOYZ8Ajn-DD8"
+        "id": "kOYZ8Ajn-DD8",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []
@@ -836,7 +832,7 @@
     {
       "cell_type": "code",
       "source": [
-        "# @title ⚄ Evaluate similarities\n",
+        "# @title ⚄ 🔍 Evaluate similarities\n",
         "%cd {output_folder_sims}\n",
         "index = 0\n",
         "for filename in os.listdir(output_folder_sims):\n",
@@ -912,7 +908,8 @@
         "plt.show()"
       ],
       "metadata": {
-        "id": "ln6DsZPG99ez"
+        "id": "ln6DsZPG99ez",
+        "cellView": "form"
       },
       "execution_count": null,
       "outputs": []