fix preview images (#2973)

Author: eaidova

notebooks/darkir-image-restoration/darkir-image-restoration.ipynb

@@ -1101,7 +1101,7 @@
    "version": "3.10.12"
   },
   "openvino_notebooks": {
-   "imageUrl": "https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/6c13d438-8bdc-46d1-80e1-cbc4319012ee",
+   "imageUrl": "https://github.com/user-attachments/assets/ca3bd5f5-656a-45e5-86cb-0dd59e9f6938",
    "tags": {
     "categories": [
      "Model Demos"

notebooks/intern-video2-classiciation/intern-video2-classification.ipynb

@@ -48,8 +48,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
+    "import platform\n",
+    "\n",
     "%pip install -q \"torch>=2.1\" \"torchvision\" \"opencv-python\" \"transformers>=4.45\" \"einops>=0.7.0\" \"timm>=0.5.4\" \"gradio>=4.19\" --extra-index-url https://download.pytorch.org/whl/cpu\n",
-    "%pip install -q \"openvino>=2025.1.0\" \"nncf>=2.16.0\""
+    "%pip install -q \"openvino>=2025.1.0\" \"nncf>=2.16.0\"\n",
+    "\n",
+    "if platform.system() == \"Darwin\":\n",
+    "    %pip install -q \"numpy<2.0\""
    ]
   },
   {
@@ -164,7 +169,7 @@
     "\n",
     "model_format = widgets.Dropdown(\n",
     "    options=[\"FP16\", \"INT8\", \"INT4\"],\n",
-    "    default=\"INT4\",\n",
+    "    value=\"INT4\",\n",
     "    description=\"Model format:\",\n",
     ")\n",
     "\n",

notebooks/ltx-video/ltx-video.ipynb

@@ -821,7 +821,7 @@
    "version": "3.11.4"
   },
   "openvino_notebooks": {
-   "imageUrl": "https://media.githubusercontent.com/media/Lightricks/LTX-Video/refs/heads/main//docs/_static/ltx-video_example_00003.gif?raw=true",
+   "imageUrl": "https://github.com/user-attachments/assets/71995dad-d290-4d3e-a53d-2f5ebe544b02",
    "tags": {
     "categories": [
      "Model Demos",

notebooks/smoldocling/README.md

@@ -1,7 +1,7 @@
 # Document conversion with SmolDocling and OpenVINO
 
 <div style="display: flex; align-items: center;">
-<img src="https://github.com/user-attachments/assets/f37728b0-f702-4b59-8bbf-9598063282f2" alt="SmolDocling" style="width: 200px; height: auto; margin-right: 20px;">
+<img src="https://github.com/user-attachments/assets/52a86ee7-065c-4ca5-b0b3-2458a79a6c9d" alt="SmolDocling" style="width: 200px; height: auto; margin-right: 20px;">
 <div>
         <p>SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with <a href=https://github.com/docling-project/docling> Docling </a> through seamless support for <strong>DoclingDocuments</strong> (The JSON that can be exported using Docling follows this schema. The DoclingDocument type also models the metadata that may be attached to the converted document.)
         </p>

notebooks/smoldocling/smoldocling.ipynb

@@ -8,7 +8,7 @@
     "# Document conversion with SmolDocling and OpenVINO\n",
     "\n",
     "<div style=\"display: flex; align-items: center;\">\n",
-    "<img src=\"https://github.com/user-attachments/assets/f37728b0-f702-4b59-8bbf-9598063282f2\" alt=\"SmolDocling\" style=\"width: 200px; height: auto; margin-right: 20px;\">\n",
+    "<img src=\"https://github.com/user-attachments/assets/52a86ee7-065c-4ca5-b0b3-2458a79a6c9d\" alt=\"SmolDocling\" style=\"width: 200px; height: auto; margin-right: 20px;\">\n",
     "<div>\n",
     "        <p>SmolDocling is a multimodal Image-Text-to-Text model designed for efficient document conversion. It retains Docling's most popular features while ensuring full compatibility with <a href=https://github.com/docling-project/docling> Docling </a> through seamless support for <strong>DoclingDocuments</strong> (The JSON that can be exported using Docling follows this schema. The DoclingDocument type also models the metadata that may be attached to the converted document.)\n",
     "        </p>\n",
@@ -558,7 +558,7 @@
    "version": "3.11.4"
   },
   "openvino_notebooks": {
-   "imageUrl": "https://github.com/user-attachments/assets/f37728b0-f702-4b59-8bbf-9598063282f2",
+   "imageUrl": "https://github.com/user-attachments/assets/52a86ee7-065c-4ca5-b0b3-2458a79a6c9d",
    "tags": {
     "categories": [
      "Model Demos",

notebooks/wan2.1-text-to-video/README.md

@@ -27,6 +27,15 @@ This tutorial consists of the following steps:
 - Run inference pipeline
 - Interactive inference
 
+in this demonstration you will learn how to build text-to-video generation pipeline using Wan2.1 and OpenVINO.
+
+Example of model input prompt and inference result are represented below:
+
+|       |                                     |
+|-------|-------------------------------------|
+|prompt:| A cat walks on the grass, realistic |
+|generated: | ![](https://github.com/user-attachments/assets/3d1b587c-4799-442a-ac0a-2a5c9832d56e)|
+
 ## Installation instructions
 This is a self-contained example that relies solely on its own code.</br>
 We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.

notebooks/wan2.1-text-to-video/wan2.1-text-to-video.ipynb

@@ -407,7 +407,7 @@
    "version": "3.11.4"
   },
   "openvino_notebooks": {
-   "imageUrl": "https://media.githubusercontent.com/media/Lightricks/LTX-Video/refs/heads/main//docs/_static/ltx-video_example_00003.gif?raw=true",
+   "imageUrl": "https://github.com/user-attachments/assets/3d1b587c-4799-442a-ac0a-2a5c9832d56e",
    "tags": {
     "categories": [
      "Model Demos",