Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -29,31 +29,9 @@
       "cell_type": "code",
       "execution_count": null,
       "metadata": {
-        "id": "UEYEdzjgOEOE",
-        "colab": {
-          "base_uri": "https://localhost:8080/"
-        },
-        "outputId": "efa821e0-8c2d-4861-9d99-f08cacb2e85f"
+        "id": "UEYEdzjgOEOE"
       },
-      "outputs": [
-        {
-          "output_type": "stream",
-          "name": "stdout",
-          "text": [
-            "/content\n",
-            "/content\n",
-            "Cloning into 'text-to-image-prompts'...\n",
-            "remote: Enumerating objects: 4504, done.\u001b[K\n",
-            "remote: Counting objects: 100% (4504/4504), done.\u001b[K\n",
-            "remote: Compressing objects: 100% (4029/4029), done.\u001b[K\n",
-            "remote: Total 4504 (delta 659), reused 2366 (delta 418), pack-reused 0 (from 0)\u001b[K\n",
-            "Receiving objects: 100% (4504/4504), 32.32 MiB | 3.25 MiB/s, done.\n",
-            "Resolving deltas: 100% (659/659), done.\n",
-            "Updating files: 100% (3062/3062), done.\n",
-            "Filtering content: 100% (768/768), 2.21 GiB | 48.63 MiB/s, done.\n"
-          ]
-        }
-      ],
+      "outputs": [],
       "source": [
         "# @title ✳️ Load/initialize values\n",
         "#Imports\n",
@@ -365,7 +343,7 @@
         "  prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
         "#--------#\n",
         "\n",
-        "if artby:\n",
+        "if artby_prompts:\n",
         "  url = '/content/text-to-image-prompts/artby'\n",
         "  prompts , text_encodings, nA = append_from_url(prompts , text_encodings, nA , url , '')\n",
         "#--------#\n",