<h2 id="experimental-model-of-kokorone-awayuki-()-from-vtuber-jf2d15pfb">experimental model of kokorone awayuki (心音淡雪) from 「VTuberなんだが配信切り忘れたら伝説になってた」</h2>[Update log] : <ul><li>[2024-07-12] : release v2.0 -&gt; full model retrain at higher resolution using data from. model took longer to train than expected, figuring out how to optimize. this version took ~5 hours to train, 2 epochs @ 2500 steps (5000 total).the sample images for v2.0 were generated with a VAE. it looks more appealing to those browsing models (i forgot to use a VAE).I have a PonyDiffusion/SDXL derivative LoRA trained, but have no idea how positive and negative prompting work to get my preference of style to carry over. I have no plans to completely migrate to SDXL.</li><li>[2024-07-09] : release v1.5 -&gt; refresh of first model retrained with additional data, fixed activation tags. this version took ~30 minutes to train, 3 epochs @ 2500 steps (7500 total). this version may also have been overtrained as it continued training using the previous model as a weight; generations still look decent.</li><li>[2024-07-08] : release 1.0 -&gt; initial version of model, retrain later to fix activation tags and refine detail. this version took ~40 minutes to train, 3 epochs @ 1600 steps (4800 total).</li></ul>[Recommended LoRA strength] : <pre><code>0.7 or 0.8</code></pre>[Recommended prompt] :<pre><code>1girl, &lt;lora:kokorone_awayuki:0.8&gt;, kokorone_awayuki, black hair, white hair strand, pink eyes, long white dress, long dress, white elbow gloves, flower, white gloves, snowflake earrings, hair flower, hair ornament, long hair, off-shoulder dress, off shoulder, solo, tiara, virtual youtuber, fur trim</code></pre><h3 id="thank-you-for-browsing-downloading-and-generating!-cyvn6j51e"><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d11d8a6e-df83-4817-a9a9-5f1e36d7ba56/width=525/d11d8a6e-df83-4817-a9a9-5f1e36d7ba56.jpeg" />thank you for browsing, downloading, and generating!</h3>

(h2k) kokorone awayuki / 心音淡雪 [VTuberなんだが配信切り忘れたら伝説になってた]

ver.2: full model retrain using existing data at a higher res and no network weighting

Files with SHA256: 5d412035b16ec76f1f9a276d8068281857dc3ac7b6905d7547e2715e47350254