description: <p>Etie trained at 1024x1024. <strong><span style="color:rgb(250, 82, 82)">CAUTION: Generating at 512x512, 512,768 etc may not always produce the best results. </span></strong>Mainly just wanted to do this for my favorites.</p><p></p><p><u><span style="color:rgb(253, 126, 20)">V2: use at weight 0.8-1</span></u></p><p><u><span style="color:rgb(21, 170, 191)">V1: use at weight 0.6-0.8</span></u></p><p></p><p>I think the quality increase is pretty nice, but doesn't always play well with "pose, etc" LoRAs that require certain dimensions. I'm mainly using the <span style="color:rgb(253, 126, 20)">Tiled Diffusion/VAE to gen at 768x1024</span> then upscale with hires 1.5x. Took the 16th epoch.</p><p></p><p>Will still release, 512 trained as usual, but might do this given I got time (took an hour to train instead of ~10 min). Also trying out new training method with cosine+restarts, instead of constant. Also read<a target="_blank" rel="ugc" href="https://civitai.com/articles/83/using-tensorboard-to-analyze-training-data-and-create-better-models"> Jiwenji's tensorboard article,</a> which was useful.</p>
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modelVersions.description: <p>Etie trained at 1024x1024, I think the quality increase is pretty nice, but doesn't always play well with "pose, etc" LoRAs that require certain dimensions. I'm using the Tiled Diffusion/VAE thing to gen at 768x1024 then upscale with hires 1.5x. Took the 16th epoch. </p><p>Testing out training at this along with 512x512. Will still release, 512 as usual, but might do this as well given I got time (took an hour to train instead of ~10 min). Also trying out new training method with cosine+restarts, instead of constant. </p>
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name: Etie (Fire Emblem Engage) LoRA
tags: anime character female fire emblem fire emblem engage video game character video game etie