Why are the hands so weird? Understanding Image Generation in AI
<p><em>A brief look into image generation and AI.</em></p>
<p>Imagine looking at a picture of a duck on a screen that’s all fuzzy with static.</p>
<p>If you narrow your eyes, you might make out the shape of the duck.</p>
<p>You could even try painting over the static to make the duck clearer.</p>
<p>Think of it like spotting a duck through a bunch of static on the screen.</p>
<p>You might squint, draw some lines to represent the duck, squint at those lines, and eventually create a rough picture of a duck — not exactly the same as the real duck,<strong> but sort of recognizable.</strong></p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*xcwrsELpqEqKVqWNGPEqoA.png" style="height:700px; width:700px" /></p>
<p>prompt : drawing of rubber duck floating in bathtub</p>
<p><img alt="" src="https://miro.medium.com/v2/resize:fit:700/1*WJO5R4efN1Bveqnf8hbZ9A.png" style="height:700px; width:700px" /></p>
<p>prompt : static</p>
<h1>Now, picture looking at just random static on the screen, and somehow convincing yourself that there’s a duck hidden in there.</h1>
<p>With a lot of effort, you might squint and work your way from a super fuzzy image of a duck to a less fuzzy one, until you can finally see a clear duck image..</p>
<p><strong>This process is named “stable diffusion.”</strong></p>
<h1>How it works:</h1>
<p>Researchers, Architects, and Scientists, <strong>took millions of images and added a bit of noise to them.</strong></p>
<p>Then, they placed them in a special space and trained a model to clean them up, to <strong>remove the noise.</strong></p>
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