feat: add image generation support with multi-modal context

docs/colab_notebooks/1-the-basics.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c79eea7a",
+   "id": "96178d08",
    "metadata": {},
    "source": [
     "# 🎨 Data Designer Tutorial: The Basics\n",
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "2476f160",
+   "id": "1d02a1d6",
    "metadata": {},
    "source": [
     "### 📦 Import Data Designer\n",
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3646f62e",
+   "id": "2292d817",
    "metadata": {},
    "source": [
     "### ⚡ Colab Setup\n",
@@ -37,7 +37,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3348e5c8",
+   "id": "8af621fc",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,7 +48,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "19cd9249",
+   "id": "70e6a11c",
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    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "5a6d13a9",
+   "id": "41031828",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d445af5b",
+   "id": "0b480b10",
    "metadata": {},
    "source": [
     "### ⚙️ Initialize the Data Designer interface\n",
@@ -89,7 +89,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4df0031d",
+   "id": "d434a8e2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -98,7 +98,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0f69b576",
+   "id": "f88f6792",
    "metadata": {},
    "source": [
     "### 🎛️ Define model configurations\n",
@@ -115,7 +115,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "65d9be99",
+   "id": "4261574c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -145,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "72582d09",
+   "id": "bbbc3d58",
    "metadata": {},
    "source": [
     "### 🏗️ Initialize the Data Designer Config Builder\n",
@@ -160,7 +160,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "8d7992b4",
+   "id": "92c0cf35",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -169,7 +169,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "741a15a0",
+   "id": "44246c7d",
    "metadata": {},
    "source": [
     "## 🎲 Getting started with sampler columns\n",
@@ -186,7 +186,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c3879c70",
+   "id": "07d20f3f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -195,7 +195,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "1575ef81",
+   "id": "9d3c87b0",
    "metadata": {},
    "source": [
     "Let's start designing our product review dataset by adding product category and subcategory columns.\n"
@@ -204,7 +204,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "87a88d7b",
+   "id": "c646b021",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,7 +285,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8c74b738",
+   "id": "ff18b032",
    "metadata": {},
    "source": [
     "Next, let's add samplers to generate data related to the customer and their review.\n"
@@ -294,7 +294,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4eb1da1f",
+   "id": "78846d99",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -331,7 +331,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4324d869",
+   "id": "97059bfc",
    "metadata": {},
    "source": [
     "## 🦜 LLM-generated columns\n",
@@ -346,7 +346,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1302a503",
+   "id": "98c66eff",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -382,7 +382,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7cf8241b",
+   "id": "ff2d52b9",
    "metadata": {},
    "source": [
     "### 🔁 Iteration is key – preview the dataset!\n",
@@ -399,7 +399,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6fc6cf39",
+   "id": "6e622478",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -409,7 +409,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c929e068",
+   "id": "1addc7d8",
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@@ -420,7 +420,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dfb04e2a",
+   "id": "7af4b9c3",
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    "outputs": [],
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@@ -430,7 +430,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "adb879da",
+   "id": "91d0ee89",
    "metadata": {},
    "source": [
     "### 📊 Analyze the generated data\n",
@@ -443,7 +443,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ff58dd9f",
+   "id": "e1e3aed0",
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    "outputs": [],
    "source": [
@@ -453,7 +453,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "57c7355d",
+   "id": "6eaa402e",
    "metadata": {},
    "source": [
     "### 🆙 Scale up!\n",
@@ -466,7 +466,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "df49db99",
+   "id": "f6b148d4",
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    "outputs": [],
    "source": [
@@ -476,7 +476,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2bbc48dd",
+   "id": "f4e62e5b",
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    "source": [
@@ -489,7 +489,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "dc0673fa",
+   "id": "7d426ab0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -501,7 +501,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7688217b",
+   "id": "449d003c",
    "metadata": {},
    "source": [
     "## ⏭️ Next Steps\n",
@@ -512,7 +512,9 @@
     "\n",
     "- [Seeding synthetic data generation with an external dataset](https://nvidia-nemo.github.io/DataDesigner/latest/notebooks/3-seeding-with-a-dataset/)\n",
     "\n",
-    "- [Providing images as context](https://nvidia-nemo.github.io/DataDesigner/latest/notebooks/4-providing-images-as-context/)\n"
+    "- [Providing images as context](https://nvidia-nemo.github.io/DataDesigner/latest/notebooks/4-providing-images-as-context/)\n",
+    "\n",
+    "- [Generating images](https://nvidia-nemo.github.io/DataDesigner/latest/notebooks/5-generating-images/)\n"
    ]
   }
  ],