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  <title>Slate Model - HuggingFace Repository</title>
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<body>
  <h1>Slate Model</h1>
  <p>
    Welcome to the HuggingFace repository for the Slate Model! This is a general model trained on various styles and optimized for multi-resolution tasks, ranging between 768x and 1.5k.
  </p>

  <h2>About the Model</h2>
  <ul>
    <li><strong>Model Name:</strong> Slate Model</li>
    <li><strong>Resolution:</strong> Multi-resolution (optimal between 768x and 1.5k)</li>
    <li><strong>Training Styles:</strong> General model trained in many styles</li>
    <li><strong>Training Dataset:</strong> Custom merge of stable diffusion 2.1 (768x)</li>
    <li><strong>Language:</strong> English</li>
    <li><strong>Tags:</strong> stable-diffusion, text-to-image</li>
    <li><strong>License:</strong> openrail</li>
  </ul>

  <h2>Versions</h2>
  <p>
    The Slate Model is available in three different versions, each with unique training characteristics:
  </p>
  <ul>
    <li>Pure Release</li>
    <li>Better3D (Trained a little heavier on 3D, resulted in more simplistic anime)</li>
    <li>Platinum Mix (A custom mix I was playing with)</li>
  </ul>

  <p>
    <b>Important:</b> Whether choosing the ckpt or safetensors version, you will require the YAML inference file for webui use. To avoid generating black images, you must use either the <i>--no-half</i> switch in webui startup or the <i>--xformers</i> switch (xformers should be much faster).
  </p>

  <h2>The GreyModel Project</h2>
  <p>
   
<p>
    SlateModel is part of the GreyModel project, which is built upon Stable Diffusion 2.1 768x. 
  The GreyModel is a community-driven project aimed at creating a Stable Diffusion model that embraces both the light and dark aspects of humanity.
  </p>
  <p>
    The model is powered by the community's efforts to gather, caption, and enhance data. 
    Join the community by participating in the Discord server: <a href="https://discord.gg/mhvucN4cDq">https://discord.gg/mhvucN4cDq</a>.
  </p>
  <h2>Getting Started</h2>
  <p>
    To use the Slate Model in your project, simply follow the instructions provided in the HuggingFace <a href="https://huggingface.co/transformers/quickstart.html">Quick Start guide</a>.
  </p>
</body>
</html>
{}
region:us
TAGS
#region-us 

<!DOCTYPE html>
<html lang="en">

<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <title>Slate Model - HuggingFace Repository</title>
  <style>
    body {
      font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
      background-color: #1d1d1d;
      color: #f0f0f0;
      margin: 0;
      padding: 1rem;
    }

    h1 {
      text-align: center;
      font-size: 3rem;
      margin-bottom: 1rem;
      color: #e91e63;
    }

    h2 {
      font-size: 2rem;
      margin-top: 2em;
      color: #ffc107;
    }

    ul {
      list-style-type: none;
      padding-left: 1.5em;
    }

    li {
      margin-bottom: 0.5em;
      font-size: 1.2rem;
    }

    p {
      font-size: 1.2rem;
      line-height: 1.5;
    }

    a {
      color: #03a9f4;
      text-decoration: none;
    }

    a:hover {
      text-decoration: underline;
    }

    b {
      font-weight: bold;
    }

    i {
      font-style: italic;
    }
  </style>
</head>

<body>
  <h1>Slate Model</h1>
  <p>
    Welcome to the HuggingFace repository for the Slate Model! This is a general model trained on various styles and optimized for multi-resolution tasks, ranging between 768x and 1.5k.
  </p>

  <h2>About the Model</h2>
  <ul>
    <li><strong>Model Name:</strong> Slate Model</li>
    <li><strong>Resolution:</strong> Multi-resolution (optimal between 768x and 1.5k)</li>
    <li><strong>Training Styles:</strong> General model trained in many styles</li>
    <li><strong>Training Dataset:</strong> Custom merge of stable diffusion 2.1 (768x)</li>
    <li><strong>Language:</strong> English</li>
    <li><strong>Tags:</strong> stable-diffusion, text-to-image</li>
    <li><strong>License:</strong> openrail</li>
  </ul>

  <h2>Versions</h2>
  <p>
    The Slate Model is available in three different versions, each with unique training characteristics:
  </p>
  <ul>
    <li>Pure Release</li>
    <li>Better3D (Trained a little heavier on 3D, resulted in more simplistic anime)</li>
    <li>Platinum Mix (A custom mix I was playing with)</li>
  </ul>

  <p>
    <b>Important:</b> Whether choosing the ckpt or safetensors version, you will require the YAML inference file for webui use. To avoid generating black images, you must use either the <i>--no-half</i> switch in webui startup or the <i>--xformers</i> switch (xformers should be much faster).
  </p>

  <h2>The GreyModel Project</h2>
  <p>
   
<p>
    SlateModel is part of the GreyModel project, which is built upon Stable Diffusion 2.1 768x. 
  The GreyModel is a community-driven project aimed at creating a Stable Diffusion model that embraces both the light and dark aspects of humanity.
  </p>
  <p>
    The model is powered by the community's efforts to gather, caption, and enhance data. 
    Join the community by participating in the Discord server: <a href="URL/URL
  </p>
  <h2>Getting Started</h2>
  <p>
    To use the Slate Model in your project, simply follow the instructions provided in the HuggingFace <a href="URL Start guide</a>.
  </p>
</body>
</html>
TAGS
#region-us 

TAGS
#region-us 
