diff --git a/notebooks/controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb b/notebooks/controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb
index 7d02a6b14be..2347caee1b1 100644
--- a/notebooks/controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb
+++ b/notebooks/controlnet-stable-diffusion/controlnet-stable-diffusion.ipynb
@@ -1,6 +1,7 @@
 {
  "cells": [
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "03d85252-fd60-4a13-8f71-a49aa00e0140",
    "metadata": {},
@@ -98,6 +99,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a955bc95-84e8-41ff-94e9-f7b2d7f38c57",
    "metadata": {},
@@ -128,6 +130,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "a5242b3e-f601-4e84-a014-a7fbbea72314",
    "metadata": {
@@ -160,6 +163,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "e5399705-e90c-4ade-bb56-fecc982c5656",
    "metadata": {},
@@ -189,6 +193,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "0cd8f96d-4fd4-4b4b-833d-9c9ff48e82bb",
    "metadata": {},
@@ -276,6 +281,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "aaf8a841-78ed-4454-97e4-aeedc39698ed",
    "metadata": {},
@@ -297,6 +303,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "4bfc11ed-20f0-4b47-b1f1-3219f84ad276",
    "metadata": {},
@@ -356,6 +363,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "b9225a21-8499-43bc-8278-ac03f3848144",
    "metadata": {},
@@ -381,8 +389,10 @@
     "    def __init__(self, core, model_path, device=\"AUTO\"):\n",
     "        self.core = core\n",
     "        self.model = core.read_model(model_path)\n",
+    "        self._device = device\n",
     "        self.compiled_model = core.compile_model(self.model, device)\n",
     "\n",
+    "\n",
     "    def __call__(self, input_tensor: torch.Tensor):\n",
     "        \"\"\"\n",
     "        inference step\n",
@@ -410,7 +420,7 @@
     "          None\n",
     "        \"\"\"\n",
     "        self.model.reshape({0: [1, 3, height, width]})\n",
-    "        self.compiled_model = self.core.compile_model(self.model)\n",
+    "        self.compiled_model = self.core.compile_model(self.model, self._device)\n",
     "\n",
     "    def parameters(self):\n",
     "        Device = namedtuple(\"Device\", [\"device\"])\n",
@@ -421,6 +431,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "21005860-19df-4e5e-9c74-0c246a82c1e8",
    "metadata": {},
@@ -497,6 +508,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "921ab34d-df91-4803-8ce8-0479f10c4c5d",
    "metadata": {},
@@ -505,6 +517,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9156837c-29ed-4031-a717-69298ed23fd2",
    "metadata": {},
@@ -582,6 +595,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "cc7d5900-51ef-4053-b7fb-5ef1a62a88ec",
    "metadata": {},
@@ -713,6 +727,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "863f833c-6428-4694-a576-f4fdbe7a20b6",
    "metadata": {},
@@ -792,6 +807,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "801bbc8d-1085-487a-8ae5-9d69169306cc",
    "metadata": {},
@@ -870,6 +886,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9249c512-1c1e-4509-9bd4-f7a6e529f644",
    "metadata": {},
@@ -1025,7 +1042,7 @@
     "        self.register_to_config(controlnet=core.compile_model(controlnet, device))\n",
     "        self.register_to_config(unet=core.compile_model(unet, device))\n",
     "        self.unet_out = self.unet.output(0)\n",
-    "        self.vae_decoder = core.compile_model(vae_decoder)\n",
+    "        self.vae_decoder = core.compile_model(vae_decoder, device)\n",
     "        self.vae_decoder_out = self.vae_decoder.output(0)\n",
     "\n",
     "    def __call__(\n",
@@ -1333,6 +1350,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "176826c1-9ac1-44aa-bffb-8bf0f8e418a8",
    "metadata": {},
@@ -1344,6 +1362,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "c724b19f-f7a3-4945-90ac-1d15b38d318c",
    "metadata": {},
@@ -1445,6 +1464,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "9830878e",
    "metadata": {},
@@ -1496,6 +1516,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "18c1ddb2",
    "metadata": {},
@@ -1524,6 +1545,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "177b016b",
    "metadata": {},
@@ -1687,6 +1709,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "16f0897e",
    "metadata": {},
@@ -1748,6 +1771,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "17e92fb9",
    "metadata": {},
@@ -1802,6 +1826,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "253bd28e",
    "metadata": {},
@@ -1865,6 +1890,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "cdbf17dc",
    "metadata": {},
@@ -1944,6 +1970,7 @@
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "3dce0b40",
    "metadata": {},
@@ -1961,6 +1988,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import ipywidgets as widgets\n",
+    "\n",
     "quantized_model_present = int8_pipe is not None\n",
     "\n",
     "use_quantized_model = widgets.Checkbox(\n",
diff --git a/notebooks/qrcode-monster/qrcode-monster.ipynb b/notebooks/qrcode-monster/qrcode-monster.ipynb
index 504b37a1296..a4c5f2513af 100644
--- a/notebooks/qrcode-monster/qrcode-monster.ipynb
+++ b/notebooks/qrcode-monster/qrcode-monster.ipynb
@@ -1022,8 +1022,10 @@
     }
    ],
    "source": [
+    "from notebook_utils import quantization_widget\n",
+    "\n",
     "skip_for_device = \"GPU\" in device.value\n",
-    "to_quantize = widgets.Checkbox(value=not skip_for_device, description=\"Quantization\", disabled=skip_for_device)\n",
+    "to_quantize = quantization_widget(not skip_for_device)\n",
     "to_quantize"
    ]
   },
@@ -1544,6 +1546,8 @@
     }
    ],
    "source": [
+    "import ipywidgets as widgets\n",
+    "\n",
     "quantized_model_present = int8_pipe is not None\n",
     "\n",
     "use_quantized_model = widgets.Checkbox(\n",
diff --git a/notebooks/sdxl-turbo/sdxl-turbo.ipynb b/notebooks/sdxl-turbo/sdxl-turbo.ipynb
index 37c83082853..02cdc910bea 100644
--- a/notebooks/sdxl-turbo/sdxl-turbo.ipynb
+++ b/notebooks/sdxl-turbo/sdxl-turbo.ipynb
@@ -478,6 +478,8 @@
     "\n",
     "int8_pipe = None\n",
     "\n",
+    "core = ov.Core()\n",
+    "\n",
     "%load_ext skip_kernel_extension"
    ]
   },