<h3 id="heading-22058"><span style="color:rgb(134, 142, 150)">TL;DR</span></h3><p><span style="color:rgb(134, 142, 150)">An ahegao LoRA model intended to generate those "ahegao profile pictures". Trained with 100% monochromatic images of ahegao anime girls, zoomed in on their faces.</span></p><h1 id="heading-22059"><code>1girl, monochrome, gao, open mouth, tongue out, close up</code></h1><h1 id="heading-22059"><br />🌸 ahe<strong>GAO </strong>- <em>a LoRA </em>🌸</h1><h2 id="heading-19834"><strong><span style="color:rgb(134, 142, 150)">Description</span></strong></h2><p>Gao is a LoRA concept model trained using cropped pictures from hentai mangas, focusing <strong>solely </strong>on the <strong>female's face</strong>.</p><p><strong>The creation of this concept was intended for generating </strong><em>"ahegao profile pictures"</em><strong> out of curiosity, not specifically for use as a profile picture.</strong></p><p>However, of course, nobody is stopping you from using this for your profile picture... 🤔</p><p></p><p><strong><span style="color:rgb(250, 82, 82)">The training images were </span><u><span style="color:rgb(250, 82, 82)">100% monochromatic</span></u><span style="color:rgb(250, 82, 82)"> and were </span><u><span style="color:rgb(250, 82, 82)">zoomed-in ahegao faces</span></u><span style="color:rgb(250, 82, 82)"> </span><u><span style="color:rgb(250, 82, 82)">intended to be profile pictures</span></u><span style="color:rgb(250, 82, 82)">, just for clarification.</span></strong></p><p></p><p>The LoRA was trained with the<span style="color:rgb(134, 142, 150)"> </span><a target="_blank" rel="ugc" href="https://civitai.com/models/9409?modelVersionId=90854"><strong><span style="color:rgb(34, 139, 230)">Anything</span></strong></a> checkpoint.</p><p>You don't have to use that checkpoint, just for your information.</p><p></p><h2 id="heading-22060"><strong><span style="color:rgb(134, 142, 150)">Usage</span></strong></h2><p><em><u><span style="color:#868e96">This LoRA is </span></u></em><strong><em><u><span style="color:#868e96">NOT SUITED</span></u></em></strong><em><u><span style="color:#868e96"> for resolutions that aren't 1:1</span></u></em></p><p><em><span style="color:#868e96">You </span></em><strong><em><span style="color:#868e96">CAN</span></em></strong><em><span style="color:#868e96"> still generate images with a size like 512 x 768, but around </span></em><strong><em><span style="color:rgb(134, 142, 150)">⅓</span></em></strong><em><span style="color:#868e96"> of the time, it's going to look </span><span style="color:rgb(134, 142, 150)">horrendous.</span></em></p><p></p><p><strong>The following includes trigger words added to the training captions. Use them in your <span style="color:rgb(64, 192, 87)">positive prompt</span> to generate more specific details, or exclude them in your <span style="color:rgb(250, 82, 82)">negative prompt</span> if you don't want such features.</strong></p><p></p><p><code>gao</code> = the main trigger word</p><p><code>ahegao</code> = an optional choice; could further enhance the <em>'ahegao'</em> face</p><p><code>monochrome</code> = monochromatic coloring <em><span style="color:rgb(134, 142, 150)">- even without specifying it, the results are occasionally monochrome, so include it in the negative prompt to decrease the probability.</span></em></p><p><code>open mouth</code> = give the subject an open mouth</p><p><code>tongue out</code> = give the subject a tongue that's sticking out</p><p><code>ecstasy</code> = add a stronger euphoric moaning effect or a feeling of ecstasy to the subject, along with a slight grin or an open-mouthed smile <em><span style="color:rgb(134, 142, 150)">- essentially giving the subject a "happy" expression rather than a "neutral" or "frowning" one with their mouth being open.</span></em></p><p><code>crying</code> = give the subject watery eyes, or tears <em><span style="color:rgb(134, 142, 150)">- can look somewhat odd; this aspect will be improved upon in future versions.</span></em></p><p><code>rolling eyes</code> = make the subject's eyes appear to be rolling upwards, conveying an ecstasy-like expression</p><p><code>heart-shaped pupils</code> = turn the subject's pupils into a heart shape</p><p><code>blush</code> = add a blush to the subject</p><p><code>close up</code> = gives the image a <em>stronger</em> profile picture effect, zooms in closer to the subject's face <em><span style="color:rgb(134, 142, 150)">- also useful for when the image isn't even zoomed in at all</span></em></p><p></p><h3 id="heading-19"><strong>LoRA's MODEL STRENGTH</strong></h3><p><code>0.7 - 0.9</code> works decently for me.</p><p></p><p></p><p>And, don't forget to add this into your <strong><span style="color:rgb(250, 82, 82)">negative prompt</span></strong>:</p><p><code>(worst quality, low quality:1.4)</code></p><p>For that <strong>FULL </strong>effect 😉</p><p></p><p>You can go mess around with the prompt, CFG, whatever sampler you prefer, etc.</p><p>Go ahead and find what works good enough for you!</p><p></p><h2 id="heading-8644"><strong><span style="color:rgb(134, 142, 150)">Cons</span></strong></h2><p><strong><span style="color:rgb(250, 82, 82)">These issues are not guaranteed to be evident 100% of the time; these cons only occur </span><u><span style="color:rgb(250, 82, 82)">occasionally</span></u><span style="color:rgb(250, 82, 82)">.</span></strong></p><ul><li><p>Unwanted speech bubbles / captions <em><span style="color:rgb(134, 142, 150)">- the concept was trained on manga, so of course, there will be captions everywhere...</span></em></p></li><li><p>Uncanny empty white eyes <em><span style="color:rgb(134, 142, 150)">- likely due to the extreme rolling back of the eyes in the training images... interesting...</span></em></p></li><li><p>Strange objects <em><span style="color:rgb(134, 142, 150)">- those text captions ( from the manga / training images ) cause Stable Diffusion to interpret them as random floating objects, especially with those speech bubbles, leading to even stranger results...</span></em></p></li></ul><p></p><p>Other cons include malformed head shape, strangely-shaped tongue, etc. Adding such cons to the negative prompt can fix the problem, other times, not the case.</p>
Public
SD 1.5
<ul><li><p>Completely reset training, no finetuning of any of the last versions... <em>again...</em></p></li><li><p><strong>v1.75</strong> has more training steps than <strong>v1.0</strong></p><p>Honestly don't know why I uploaded <strong>v1.5</strong>, it's honestly seems a bit worse than <strong>v1.0</strong> </p><p><strong>v1.75</strong> should be better though</p></li><li><p>Edited some caption files for some images</p><p>Some images had glasses, so I added <code>glasses</code> in the image's prompt to make the training understand it more.</p><p>Also added <code>headband</code> on a few images, not sure what it was, but some images of the women had this white thing on their head, like a headband or a bandana or something.</p><p>On <strong>v1.0</strong> / <strong>v1.5</strong>, these <em>"headbands"</em> were generated involuntary, you couldn't really do much about it.</p></li><li><p><strong>v1.0</strong> / <strong>v1.5</strong> had issues of like weird settings, strange objects like near the edges of any generated image. <strong>v1.75</strong> fixed most of that.</p></li><li><p><strong>OVERALL</strong>, <strong>v1.75</strong> should be better than <strong>v1.0</strong> and <strong>v1.5</strong></p><p><strong>v1.5 </strong>-&gt; Supposed to fix issues with captioning, had less training, making the model's generation quality worse than <strong>v1.0</strong>.</p><p><strong>v1.75</strong> -&gt; Supposed to increase model's generation quality, with better captioning, more controllable prompts, etc. A very good upgrade.</p></li></ul>
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2024-04-06T08:00:39.479Z
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2024-04-06T08:27:10.093Z
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<p><strong><em>completely reworked the LoRA's training</em></strong></p><ul><li><p>Used ~30% less images for training</p><p><strong>v1.0</strong> has <strong>110+</strong> images for training</p><p><strong>v1.5</strong> has <strong>70+</strong> images for training <em>( NEXT VERSION WILL HAVE MORE, IF I EVEN RELEASE A NEW VERSION )</em></p><ul><li><p>Removed images with <strong>WAY</strong> too many speech bubbles / text on it <em>- this significantly reduced the amount strange objects appearing in generation.</em></p></li><li><p>Removed images with weird facial features, weird expressions <em>- reduces the chance of uncanny faces, morphed faces, morbid faces, you get the idea.</em></p></li></ul></li><li><p><strong>v1.0</strong> -&gt; single text file as a caption for <strong>ALL</strong> images</p><p><strong>v1.5</strong> <em>( current ) </em>-&gt; one caption file in each of the multiple groups of images <em>- meaning that the training images were divided into multiple groups based on similar features, with each group containing images that share the same caption file; essentially, one caption file for one group ( of images that are alike ).</em></p><p>This allowed for more control with the type of image you want from this LoRA.</p></li><li><p>LoRA was 'reworked' <strong>literally</strong>. <strong>v1.5 </strong>is a fresh start without <strong>ANY </strong>fine-tuning from <strong>v1.0</strong>.</p></li><li><p><strong>Slightly </strong>improved compatibility for resolutions above <strong>512</strong>, like <strong>512x768</strong> - <strong><em>v1.0</em></strong><em> had occasional issues with faces being stretched or completely morphed. </em><strong>v1.5</strong> has a somewhat lower occurrence of this happening.</p></li><li><p>Increased the <strong>Epoch</strong> amount in training from <strong>150</strong> to <strong>200</strong>!</p><p><strong>v1.0</strong> had <strong>~31</strong> steps epoch, and 150<strong> </strong>epochs. <em>( 4650 total steps )</em></p><p><strong>v1.5</strong> had <strong>~14</strong> steps each epoch, and <strong>200</strong> epochs. <em>( 2800 total steps )</em></p><p><em>Once again, nearly </em><strong><em>30% </em></strong><em>of the images used to train the model were removed because of how much they could cause Stable Diffusion to generate weird things...</em></p></li></ul>
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2024-04-04T12:35:44.980Z
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2024-04-04T12:44:03.063Z
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2024-04-03T12:11:41.146Z
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ahe-GAO [ アヘ顔 ]
anime concept porn manga ahegao hentai