description: <p>While I try not to make LORAs of celebrities that have plenty of LORAs already, I've wanted to try this out for about a week now.<br /><br />I took the GPT-4 captioned dataset found here: <a target="_blank" rel="ugc" href="https://civitai.com/models/281464?modelVersionId=321185">https://civitai.com/models/281464?modelVersionId=321185</a>, made by <a rel="ugc" href="https://civitai.com/user/steffangund"><strong><span style="color:rgb(193, 194, 197)">steffangund</span></strong></a><strong><span style="color:rgb(193, 194, 197)">, </span></strong><span style="color:rgb(193, 194, 197)">and then duplicated the entire zip file. I then re-tagged every photo in the set using WD14 tagging conventions, and then trained the LORA using both sets -  thus training with short, one &amp; two word descriptors along with more verbose phrases to describe the same images. </span><br /><br /><span style="color:rgb(193, 194, 197)">The result, hopefully, is a more responsive model that will listen better to your img-to-txt input, no matter how you input it (so long as it's in English).</span></p>
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