Upload sd_token_similarity_calculator.ipynb

sd_token_similarity_calculator.ipynb

@@ -374,10 +374,10 @@
       ],
       "metadata": {
         "id": "JkzncP8SgKtS",
-        "outputId": "37351bed-c5e2-4554-c5e0-a9dc84da700b",
         "colab": {
           "base_uri": "https://localhost:8080/"
-        }
+        },
+        "outputId": "37351bed-c5e2-4554-c5e0-a9dc84da700b"
       },
       "execution_count": 6,
       "outputs": [
@@ -1060,15 +1060,16 @@
         "my_mkdirs('/content/text_encodings/')\n",
         "filename = ''\n",
         "\n",
-        "NUM_FILES = 34\n",
+        "NUM_FILES = 7\n",
         "\n",
         "for  file_index in range(NUM_FILES + 1):\n",
         "  if file_index <1: continue\n",
-        "  filename = f'🦜 fusion-t2i-prompt-features-{file_index}'\n",
+        "  #if file_index >4: break\n",
+        "  filename = f'🔹 fusion-t2i-sd15-clip-tokens-exotic-suffix-{file_index} Tokens'\n",
         "  #🦜 fusion-t2i-prompt-features-1.json\n",
         "\n",
         "  # Read suffix.json\n",
-        "  %cd /content/text-to-image-prompts/civitai-prompts/green/text\n",
+        "  %cd /content/text-to-image-prompts/tokens/suffix/exotic/text\n",
         "  with open(filename + '.json', 'r') as f:\n",
         "      data = json.load(f)\n",
         "  _df = pd.DataFrame({'count': data})['count']\n",
@@ -1106,7 +1107,7 @@
       "source": [
         "# @title Download the created text_encodings as .zip file\n",
         "%cd /content/\n",
-        "!zip -r /content/text-encodings.zip /content/text_encodings"
+        "!zip -r /content/tokens.zip /content/text-to-image-prompts/tokens"
       ],
       "metadata": {
         "id": "gX-sHZPWj4Lt"
@@ -1114,6 +1115,19 @@
       "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "code",
+      "source": [
+        "# @title Download the created text_encodings as .zip file\n",
+        "%cd /content/\n",
+        "!zip -r /content/text-encodings.zip /content/text_encodings"
+      ],
+      "metadata": {
+        "id": "b3DUPYfskAIc"
+      },
+      "execution_count": null,
+      "outputs": []
+    },
     {
       "cell_type": "markdown",
       "source": [