add anoter example

pages/01_minimal.ipynb

@@ -2,9 +2,81 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Device with name Apple M1 supports metal minimum requirements\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "1aef7aecdfaa46b6951f529d7650bf05",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/html": [
+       "Cannot show widget. You probably want to rerun the code cell above (<i>Click in the code cell, and press Shift+Enter <kbd>⇧</kbd>+<kbd>↩</kbd></i>)."
+      ],
+      "text/plain": [
+       "Cannot show ipywidgets in text"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "METAL API - DETECTED GPU: Apple M1\n",
+      "Fra:1 Mem:14.55M (Peak 15.20M) | Time:00:00.08 | Syncing Light\n",
+      "Fra:1 Mem:14.55M (Peak 15.20M) | Time:00:00.08 | Syncing Camera\n",
+      "Fra:1 Mem:14.56M (Peak 15.20M) | Time:00:00.08 | Syncing Torus\n",
+      "Fra:1 Mem:15.94M (Peak 15.94M) | Time:00:00.09 | Rendering 1 / 64 samples\n",
+      "Fra:1 Mem:15.16M (Peak 15.94M) | Time:00:00.19 | Rendering 26 / 64 samples\n",
+      "Fra:1 Mem:15.16M (Peak 15.94M) | Time:00:00.25 | Rendering 51 / 64 samples\n",
+      "Fra:1 Mem:15.16M (Peak 15.94M) | Time:00:00.28 | Rendering 64 / 64 samples\n",
+      "Saved: 'test.png'\n",
+      " Time: 00:00.37 (Saving: 00:00.09)\n",
+      "\n",
+      "Fra:1 Mem:15.90M (Peak 15.90M) | Time:00:00.00 | Syncing Light\n",
+      "Fra:1 Mem:15.90M (Peak 15.90M) | Time:00:00.00 | Syncing Camera\n",
+      "Fra:1 Mem:15.90M (Peak 15.90M) | Time:00:00.00 | Syncing Torus.001\n",
+      "Fra:1 Mem:17.25M (Peak 17.25M) | Time:00:00.00 | Rendering 1 / 64 samples\n",
+      "Fra:1 Mem:16.34M (Peak 17.25M) | Time:00:00.08 | Rendering 26 / 64 samples\n",
+      "Fra:1 Mem:16.34M (Peak 17.25M) | Time:00:00.14 | Rendering 51 / 64 samples\n",
+      "Fra:1 Mem:16.34M (Peak 17.25M) | Time:00:00.17 | Rendering 64 / 64 samples\n",
+      "Saved: 'test.png'\n",
+      " Time: 00:00.18 (Saving: 00:00.00)\n",
+      "\n",
+      "Fra:1 Mem:17.07M (Peak 17.07M) | Time:00:00.00 | Syncing Light\n",
+      "Fra:1 Mem:17.07M (Peak 17.07M) | Time:00:00.00 | Syncing Camera\n",
+      "Fra:1 Mem:17.08M (Peak 17.08M) | Time:00:00.00 | Syncing Torus.002\n",
+      "Fra:1 Mem:18.42M (Peak 18.42M) | Time:00:00.00 | Rendering 1 / 64 samples\n",
+      "Fra:1 Mem:17.51M (Peak 18.42M) | Time:00:00.08 | Rendering 26 / 64 samples\n",
+      "Fra:1 Mem:17.57M (Peak 18.42M) | Time:00:00.14 | Rendering 51 / 64 samples\n",
+      "Fra:1 Mem:17.51M (Peak 18.42M) | Time:00:00.17 | Rendering 64 / 64 samples\n",
+      "Saved: 'test.png'\n",
+      " Time: 00:00.18 (Saving: 00:00.00)\n",
+      "\n",
+      "Fra:1 Mem:18.31M (Peak 18.31M) | Time:00:00.00 | Syncing Light\n",
+      "Fra:1 Mem:18.31M (Peak 18.31M) | Time:00:00.00 | Syncing Camera\n",
+      "Fra:1 Mem:18.32M (Peak 18.32M) | Time:00:00.00 | Syncing Torus.003\n",
+      "Fra:1 Mem:19.66M (Peak 19.66M) | Time:00:00.00 | Rendering 1 / 64 samples\n",
+      "Fra:1 Mem:18.69M (Peak 19.66M) | Time:00:00.08 | Rendering 26 / 64 samples\n",
+      "Fra:1 Mem:18.69M (Peak 19.66M) | Time:00:00.13 | Rendering 51 / 64 samples\n",
+      "Fra:1 Mem:18.69M (Peak 19.66M) | Time:00:00.16 | Rendering 64 / 64 samples\n",
+      "Saved: 'test.png'\n",
+      " Time: 00:00.18 (Saving: 00:00.00)\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "import solara\n",
     "import bpy\n",

pages/{02_molecule.ipynb → 02_blue.ipynb}

@@ -2,18 +2,57 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Device with name Apple M1 supports metal minimum requirements\n"
+     ]
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "058aeee5506f4eb0aed392e4bcb9c43e",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/html": [
+       "Cannot show widget. You probably want to rerun the code cell above (<i>Click in the code cell, and press Shift+Enter <kbd>⇧</kbd>+<kbd>↩</kbd></i>)."
+      ],
+      "text/plain": [
+       "Cannot show ipywidgets in text"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "METAL API - DETECTED GPU: Apple M1\n",
+      "Fra:1 Mem:14.56M (Peak 15.21M) | Time:00:00.08 | Syncing Light\n",
+      "Fra:1 Mem:14.56M (Peak 15.21M) | Time:00:00.08 | Syncing Camera\n",
+      "Fra:1 Mem:14.57M (Peak 15.21M) | Time:00:00.08 | Syncing Torus\n",
+      "Fra:1 Mem:15.98M (Peak 15.98M) | Time:00:00.09 | Rendering 1 / 64 samples\n",
+      "Fra:1 Mem:15.19M (Peak 15.98M) | Time:00:00.19 | Rendering 26 / 64 samples\n",
+      "Fra:1 Mem:15.19M (Peak 15.98M) | Time:00:00.24 | Rendering 51 / 64 samples\n",
+      "Fra:1 Mem:15.19M (Peak 15.98M) | Time:00:00.27 | Rendering 64 / 64 samples\n",
+      "Saved: 'test.png'\n",
+      " Time: 00:00.37 (Saving: 00:00.08)\n",
+      "\n"
+     ]
+    }
+   ],
    "source": [
     "import solara\n",
     "import bpy\n",
     "from IPython.display import Image, display\n",
     "\n",
     "light_position = solara.reactive(3)\n",
-    "\n",
-    "\n",
-    "\n",
     "start_button = solara.reactive(False)\n",
     "\n",
     "@solara.component\n",
@@ -24,8 +63,6 @@
     "    else:\n",
     "        solara.Success(\"Rendering complete. \")\n",
     "\n",
-    "\n",
-    "\n",
     "        solara.SliderInt(\"Pos:\", value=light_position, min=0, max=10)\n",
     "        \n",
     "        # Delete all mesh objects from the scene\n",
@@ -42,19 +79,28 @@
     "            align=\"WORLD\",\n",
     "            location=(0, 1, 1),\n",
     "        )\n",
+    "\n",
+    "        # Access the torus directly through the bpy.data.objects list\n",
+    "        torus = bpy.data.objects[\"Torus\"]\n",
+    "\n",
+    "        # Create a blue material and assign it to the torus\n",
+    "        blue_mat = bpy.data.materials.new(name=\"Blue_Material\")\n",
+    "        blue_mat.diffuse_color = (0, 0, 1, 1)  # RGBA for blue\n",
+    "        torus.data.materials.append(blue_mat)\n",
+    "\n",
     "        \n",
-    "        # # Light\n",
+    "        # Light\n",
     "        light = bpy.data.objects[\"Light\"]\n",
     "        light.location = (light_position.value, 0, 2)  # Position the light\n",
     "        \n",
-    "        # # Camera\n",
+    "        # Camera\n",
     "        camera = bpy.data.objects[\"Camera\"]\n",
     "        camera.location = (5, -3, 4)\n",
     "        camera.data.dof.use_dof = True\n",
     "        camera.data.dof.focus_distance = 5\n",
     "        camera.data.dof.aperture_fstop = 4\n",
     "        \n",
-    "        # # Render\n",
+    "        # Render\n",
     "        path = \"test.png\"\n",
     "        bpy.context.scene.render.resolution_x = 400\n",
     "        bpy.context.scene.render.resolution_y = 200\n",
@@ -65,7 +111,7 @@
     "        \n",
     "        display(Image(path))\n",
     "\n",
-    "Page()"
+    "Page()\n"
    ]
   },
   {

requirements.txt

@@ -1,2 +1,3 @@
 bpy
 solara
+molecularnodes