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How to Build an AI Fashion Try-On App with AI Pass SDK

How to Build an AI Fashion Try-On App with AI Pass SDK

Virtual try-on is one of the hottest AI use cases in e-commerce. In this tutorial, you'll build an AI Fashion Try-On app that lets users upload a photo and see themselves in any outfit. You earn 50% commission on every API call.

What You'll Build

A web app where users:

  1. Upload their photo
  2. Describe an outfit
  3. Get a realistic visualization of themselves wearing it

Step 1: Create Your AI Pass Account

  1. Go to aipass.one and sign up
  2. Verify your email (required for payouts)
  3. Open the Developer Dashboard

Step 2: Create an OAuth2 Client

  1. In the Developer Dashboard, go to OAuth2 Clients
  2. Click Create Client
  3. Copy your Client ID (looks like client_XXXX...)

Step 3: Build the App

This app uses AiPass.editImage() with Gemini's image editing model to blend outfits onto photos.

<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>AI Fashion Try-On</title>
  <link href="https://aipass.one/aipass-ui.css" rel="stylesheet">
  <style>
    body { font-family: sans-serif; max-width: 600px; margin: 40px auto; padding: 20px; }
    input[type=file], textarea, button { display: block; width: 100%; margin: 10px 0; padding: 10px; font-size: 15px; }
    textarea { height: 80px; }
    #result { margin-top: 20px; text-align: center; }
    #result img { max-width: 100%; border-radius: 12px; }
  </style>
</head>
<body>
  <h1>👗 AI Fashion Try-On</h1>
  <p>Upload your photo and describe the outfit you want to try.</p>
  <input type="file" id="photo" accept="image/*">
  <textarea id="outfit" placeholder="Describe the outfit: e.g. elegant black evening dress with gold accessories"></textarea>
  <button onclick="tryOn()">Try It On</button>
  <div id="result"></div>

  <script src="https://aipass.one/aipass-sdk.js"></script>
  <script>
    AiPass.initialize({
      clientId: 'YOUR_CLIENT_ID',
      requireLogin: true,
      darkMode: true
    });

    async function tryOn() {
      const fileInput = document.getElementById('photo');
      const outfit = document.getElementById('outfit').value;
      const resultDiv = document.getElementById('result');

      if (!fileInput.files[0] || !outfit) {
        resultDiv.innerHTML = '<p>Please upload a photo and describe the outfit.</p>';
        return;
      }

      resultDiv.innerHTML = '<p>Generating try-on... this may take 10-20 seconds.</p>';

      try {
        const r = await AiPass.editImage({
          image: fileInput.files[0],
          prompt: `Put this person in the following outfit: ${outfit}. Keep the person face and body shape the same. Make it look realistic and natural.`,
          model: 'gemini/gemini-3-pro-image-preview'
        });
        resultDiv.innerHTML = `<img src="${r.data[0].url}" alt="Try-on result">`;
      } catch (e) {
        resultDiv.innerHTML = '<p>Error: ' + e.message + '</p>';
      }
    }
  </script>
</body>
</html>

Step 4: Deploy

Option A: Self-host anywhere — your server, GitHub Pages, Netlify, Vercel. SDK handles auth and billing.

Option B: Publish on AI Pass — get a dedicated page with the </> embed button.

Key Details

  • AiPass.editImage() handles the image editing — routes through Gemini's image model
  • gemini/gemini-3-pro-image-preview is the recommended model for image editing
  • requireLogin: true — shows auth screen automatically
  • Response: r.data[0].url gives you the result image URL
  • Users get $1 free credit on signup, then pay as you go
  • You earn 50% commission on every API call

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