description: <h2 id="heading-3274">Usage</h2><ul><li><p>Activation tag: <code>yonememei</code></p></li><li><p>Recommended extra tags: <code>red hair, blue eyes, single hair bun</code></p></li><li><p>Recommended ratio: 0.75</p></li></ul><h2 id="heading-3275">Training</h2><ul><li><p>Base model: AnyLoRA</p></li><li><p>Training data <a target="_blank" rel="ugc" href="https://huggingface.co/datasets/ashley-ng/lovelive-train-dataset/tree/main">here</a></p><p>120 anime screenshots, augmented using <a target="_blank" rel="ugc" href="https://github.com/deepghs/waifuc">waifuc</a> ThreeStageSplitter to get around 150 total training images</p></li><li><p>Optimizer: AdamW8bit, cosine_with_restart, 3 restarts</p></li><li><p>2 repeat x 10 epochs</p></li><li><p>Unet lr 5e-4, TE lr 1e-5</p></li><li><p>LoRA dim 32/16</p><p></p></li></ul><p>Different from previous LoRAs which used fully automatic tagging, for this I use a hybrid approach: auto tag and then half-manually curate the tags.</p><ul><li><p>Filter tags with frequency lower than 10</p></li><li><p>Ensure there's no tags of other characters (ex. the auto tagger might tag "blonde hair" if parts of Sumire is visible in the image)</p></li><li><p>Use more specific tag: <em>single hair bun</em> instead of <em>hair bun</em>, <em>pinafore dress</em> instead of <em>dress </em>(for the uniform), ...</p></li><li><p>Manually go through the image and add other tags where relevant, such as <em>from side, close-up, ...</em></p></li></ul><p>This one performs better than my (unpublished) Natsumi LoRA, which used over 200 training images but the tags were not prepared as carefully as this one.</p>
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name: [LoRA] Yoneme Mei - LoveLive! Superstar!!
tags: anime character