diff --git a/notebooks/stable-diffusion-xl/segmind-vegart.ipynb b/notebooks/stable-diffusion-xl/segmind-vegart.ipynb
index 89f1f2d3a48..dcce55d519e 100644
--- a/notebooks/stable-diffusion-xl/segmind-vegart.ipynb
+++ b/notebooks/stable-diffusion-xl/segmind-vegart.ipynb
@@ -427,6 +427,17 @@
     "\n",
     "int8_pipe = None\n",
     "\n",
+    "core = ov.Core()\n",
+    "\n",
+    "def create_int8_pipe(model_dir, unet_int8_path, device, core, unet_device='CPU'):\n",
+    "    int8_pipe = OVStableDiffusionXLPipeline.from_pretrained(model_dir, device=device, compile=True)\n",
+    "    del int8_pipe.unet.request\n",
+    "    del int8_pipe.unet.model\n",
+    "    gc.collect()\n",
+    "    int8_pipe.unet.model = core.read_model(unet_int8_path)\n",
+    "    int8_pipe.unet.request = core.compile_model(int8_pipe.unet.model, unet_device or device)\n",
+    "    return int8_pipe\n",
+    "\n",
     "if to_quantize.value and \"GPU\" in device.value:\n",
     "    to_quantize.value = False\n",
     "42\n",
@@ -635,15 +646,6 @@
    "source": [
     "%%skip not $to_quantize.value\n",
     "\n",
-    "def create_int8_pipe(model_dir, unet_int8_path, device, core, unet_device='CPU'):\n",
-    "    int8_pipe = OVStableDiffusionXLPipeline.from_pretrained(model_dir, device=device, compile=True)\n",
-    "    del int8_pipe.unet.request\n",
-    "    del int8_pipe.unet.model\n",
-    "    gc.collect()\n",
-    "    int8_pipe.unet.model = core.read_model(unet_int8_path)\n",
-    "    int8_pipe.unet.request = core.compile_model(int8_pipe.unet.model, unet_device or device)\n",
-    "    return int8_pipe\n",
-    "\n",
     "int8_text2image_pipe = create_int8_pipe(model_dir, UNET_INT8_OV_PATH, device.value, core)\n",
     "\n",
     "\n",
@@ -840,6 +842,8 @@
     }
    ],
    "source": [
+    "import ipywidgets as widgets\n",
+    "\n",
     "quantized_model_present = UNET_INT8_OV_PATH.exists()\n",
     "\n",
     "use_quantized_model = widgets.Checkbox(\n",