<p><strong>NOTE: ALL CHARACTERS IN THE IMAGES ARE ADULTS.</strong></p>
<h2>How to Use This Model</h2>
<p><strong>USE THEM SIMULTANEOUSLY</strong>. In this case, you need to download both <code>unicorn_azurlane.pt</code> and 
<code>unicorn_azurlane.safetensors</code>, then <strong>use <code>unicorn_azurlane.pt</code> as texture inversion embedding, and use
<code>unicorn_azurlane.safetensors</code> as LoRA at the same time</strong>.</p>
<p><strong>それらを同時に使用してください</strong>。この場合、<code>unicorn_azurlane.pt</code>と<code>unicorn_azurlane.safetensors</code>の両方をダウンロード
する必要があります。<code>unicorn_azurlane.pt</code>をテクスチャ反転埋め込みとして使用し、同時に<code>unicorn_azurlane.safetensors</code>をLoRAとして使用してください。</p>
<p><strong>同时使用它们</strong>。在这种情况下，您需要下载<code>unicorn_azurlane.pt</code>和<code>unicorn_azurlane.safetensors</code>这两个文件，然后将<code>unicorn_azurlane.pt</code>用作纹理反转嵌入，
同时使用<code>unicorn_azurlane.safetensors</code>作为LoRA。</p>
<p>(Translated with ChatGPT)</p>
<p>The trigger word is <code>unicorn_azurlane</code>, and the recommended tags are <code>masterpiece, best quality, highres, solo, {unicorn_azurlane:1.10}, purple_hair, long_hair, purple_eyes, bangs, blush, ahoge, very_long_hair, ribbon, hair_bun, single_hair_bun, hair_ribbon, stuffed_toy, single_side_bun, stuffed_animal, stuffed_winged_unicorn, one_side_up, breasts, hair_ornament</code>.</p>
<h2>How This Model Is Trained</h2>
<p>This model is trained with <a href="https://github.com/7eu7d7/HCP-Diffusion" rel="ugc">HCP-Diffusion</a>. 
And the auto-training framework is maintained by <a href="https://huggingface.co/deepghs" rel="ugc">DeepGHS Team</a>.</p>
<h2>Why Some Preview Images Not Look Like Unicorn Azurlane</h2>
<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) 
<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the 
training dataset. The seed used during image generation is also randomly generated, and the images have 
not undergone any selection or modification. As a result, there is a possibility of the mentioned 
issues occurring.</p>
<p>In practice, based on our internal testing, most models that experience such issues perform better in 
actual usage than what is seen in the preview images. <strong>The only thing you may need to do is fine-tune 
the tags you use</strong>.</p>
<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>
<p>Our model has been published on <a href="https://huggingface.co/CyberHarem/unicorn_azurlane" rel="ugc">huggingface repository - CyberHarem/unicorn_azurlane</a>, where
models of all the steps are saved. Also, we published the training dataset on 
<a href="https://huggingface.co/datasets/CyberHarem/unicorn_azurlane" rel="ugc">huggingface dataset - CyberHarem/unicorn_azurlane</a>, which may be helpful to you.</p>
<h2>Why Not Just Using The Better-Selected Images</h2>
<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, 
is <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, 
and for this purpose, we have developed a complete set of software infrastructure, including data filtering, 
automatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or 
suggestions as they are highly valuable to us.</p>

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