Trained on 170+ images of Winx Club/Clothing ~💜<ul><li>Heavily curated tags</li><li>All tags below: -&gt; <a target="_blank" rel="ugc" href="https://drive.google.com/file/d/1QhndsqTmG6Fpa76cGi5XseLEyMUdEFBu/view?usp=sharing">GDrive</a> &lt;-</li></ul><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/ynIGv1KQCDw" start="0"></iframe></div>---------- Includes a variety of fashion styles such as: casual winter clothes sportswear raver punk sailor ---------- -which are all tagged as such in the dataset.<hr /><ul><li>Adding prompts like: midriff, navel, undershirt, layered sleeves, mismatched footwear or uneven legwear will help if you need/want it; check the GDrive tags above for more examples though ~</li><li>The dataset is biased towards 'full body, standing, standing on one leg, hand on hip, white background' but it's not really an issue so long as the lora isn't jacked up to 1.0+</li><li>Not every single outfit is in the dataset but a large portion of them are ~</li><li>No close-up or upper body shots in the dataset, only full body (for the fashion/footwear)</li></ul>

WINX CLUB ✨FASHION✨

I wanted this version to capture the fashion without having the style be at the forefront but it still shines through; I didn't want to dilute the dataset with clothing from outside of the Winx Club series so I decided against adding random similar clothing (in different art styles).<ul><li>STRENGTH/WEIGHT: 0.2 - 0.9</li><li>When adding the activation tag(s) you can either put them as positive or negative prompts -&gt; western comics (style), 2000s (style), official style, colored lineart, anime coloring &lt;- (cel shading technically) - It can be similar to a watercolor sketch when in the negative</li><li>I think this lora can work great as a hybrid by adding it with other lora's -&gt; (0.2 - 0.7 strength)</li></ul>

Files with SHA256: 7a2e468c619ebf479d9487972de144fcfc0c9a76eead646e74765a5e3caecc0a