Upload fusion_t2i_CLIP_interrogator.ipynb

Google Colab Jupyter Notebooks/fusion_t2i_CLIP_interrogator.ipynb

@@ -165,15 +165,6 @@
       "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": [
@@ -219,7 +210,7 @@
         "  save_file(_ref, 'reference.safetensors')\n",
         "#-----#\n",
         "\n",
-        "if NEW_ENCODING.strip() != ''\n",
+        "if NEW_ENCODING.strip() != '':\n",
         "  item = NEW_ENCODING.strip()\n",
         "  inputs = tokenizer(text = item.strip(), truncation = True  , padding=True, return_tensors=\"pt\")\n",
         "  ref = model.get_text_features(**inputs)[0]\n",
@@ -301,7 +292,7 @@
     {
       "cell_type": "markdown",
       "source": [
-        "**Use a pre-encoded image+prompt pair as reference (optional)**"
+        "# 🖼️ Image encoders (optional)"
       ],
       "metadata": {
         "id": "f9_AcquM7AYZ"
@@ -549,6 +540,8 @@
     {
       "cell_type": "markdown",
       "source": [
+        "# CLIP Interrogator\n",
+        "\n",
         "**Save the reference prior to running the Interrogator**"
       ],
       "metadata": {
@@ -818,6 +811,15 @@
       "execution_count": null,
       "outputs": []
     },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# 🔍 Evaluate similarities"
+      ],
+      "metadata": {
+        "id": "RbFayOGtCdUN"
+      }
+    },
     {
       "cell_type": "markdown",
       "source": [