<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: manoj-23</title>
    <description>The latest articles on DEV Community by manoj-23 (@manoj23).</description>
    <link>https://dev.to/manoj23</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F307581%2Ff4c5982a-93b7-463a-9308-d33ac660f0c6.png</url>
      <title>DEV Community: manoj-23</title>
      <link>https://dev.to/manoj23</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/manoj23"/>
    <language>en</language>
    <item>
      <title>Building an On-Demand Coloring Book Generator with Google AI Studio &amp; Imagen</title>
      <dc:creator>manoj-23</dc:creator>
      <pubDate>Thu, 20 Aug 2026 13:17:03 +0000</pubDate>
      <link>https://dev.to/manoj23/building-an-on-demand-coloring-book-generator-with-google-ai-studio-imagen-26ee</link>
      <guid>https://dev.to/manoj23/building-an-on-demand-coloring-book-generator-with-google-ai-studio-imagen-26ee</guid>
      <description>&lt;p&gt;This post is my submission for DEV Education Track: Build Apps with Google AI Studio.&lt;/p&gt;

&lt;p&gt;What I Built&lt;br&gt;
I built an On-Demand Coloring Book Studio, a web application that generates printable, custom black-and-white coloring pages from user descriptions using Google AI Studio and the Imagen API. Using systematic prompt engineering for high-contrast vector outlines and negative prompt modifiers, the app allows users to select age groups, adjust line complexity, fill colors online, and export complete multi-page PDF coloring books.&lt;/p&gt;

&lt;h2&gt;
  
  
  Demo
&lt;/h2&gt;


&lt;div class="crayons-card c-embed text-styles text-styles--secondary"&gt;
    &lt;div class="c-embed__content"&gt;
      &lt;div class="c-embed__body flex items-center justify-between"&gt;
        &lt;a href="https://coloring-page-book-studio.ai.studio" rel="noopener noreferrer" class="c-link fw-bold flex items-center"&gt;
          &lt;span class="mr-2"&gt;coloring-page-book-studio.ai.studio&lt;/span&gt;
          

        &lt;/a&gt;
      &lt;/div&gt;
    &lt;/div&gt;
&lt;/div&gt;
&lt;br&gt;
My Experience&lt;br&gt;
Working through this track showed me how effective system instructions are at turning raw diffusion models into specialized design utilities. Structuring automated prompt modifiers (forcing clean line art while strictly penalizing shading, gradients, and dark backgrounds) made the Imagen API consistently output clear, print-ready vector pages. It was surprising how seamlessly Google AI Studio helped prototype both the UI layout logic and the underlying API calls in one cohesive workflow.

</description>
      <category>deved</category>
      <category>learngoogleaistudio</category>
      <category>ai</category>
      <category>gemini</category>
    </item>
  </channel>
</rss>
