description: <p>This LoRA has been trained after carefully selecting 28 images, most of them from Lost TV Show. All photos have been enhanced to make the most of them.</p><p><strong>Katherine Anne Austen</strong> is a fictional character on the ABC television series <em>Lost</em>, played by Canadian actress <strong>Evangeline Lilly</strong></p><p>When downloading model and testing it, try to copy any of the prompts I have used, and make some variations in order to get other images you prefer. Have fun!</p><p>There is a great range of improvement in base model, especially regarding weird limbs or hands (yes, it's still there!! :( ) Anyway I'm satisfied with this model, waiting for future improved photorealistic checkpoints based on SDXL base 1.0.</p><p>LoRA <strong>weights</strong> should be between <strong>0.8 and 1.3</strong> in my experience (but you're free to test)</p><p>For portraits you can use <strong>896 x 1152, </strong>768 x 1344<strong>,</strong> 832 x 1216, 640 x 1536 or even 768x1024 resolutions.</p><p><strong><span style="color:rgb(21, 170, 191)">I don't ask for anything but any respectful constructive review (after having tested the model) would be highly appreciated or at least press Like if you're happy with results after trying it out! Thanks in advance and enjoy it!</span></strong></p><p><strong>Notice:</strong> This free work is intended for art and illustration purposes of emergent technology and not intended nor' trained for making illicit images, as the author I've taken care to not use any private data in the training process or designed it for such purposes. <strong>By downloading this model you are agreeing with the aforementioned intent and that you will not use my work to create / share images of a potentially immoral and / or illegal nature.</strong></p>
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modelVersions.publishedAt: 2023-08-03T21:06:33.887Z
modelVersions.trainedWords: skswoman evan4lil4
name: Kate Austen (from Lost TV show) (LoRA SDXL 1.0)
tags: character person photorealistic sexy female tv show woman actress girls realistic