description: <p>A model for large breasted waifus or semi-realistic characters.</p><p></p><p><strong>V6 Changelog 2023/06/03:</strong></p><ul><li><p>Considering this was my first and most popular LoRA, I figured it was time to improve on it. Probably the last version too. Hyperfusion is more or less the successor to this.</p></li><li><p>Less harmful to the overall style, but slightly smaller sizes overall, feels like a good balance</p></li><li><p>Wider variety of breast shapes in the dataset</p><ul><li><p>Some breast shape tags were added, but hard to say how helpful they are</p></li></ul></li><li><p>Uses LoRA LoCon, but does not require any additional extensions to run</p></li><li><p>Changed "large breasts" to "big breasts" to match my hyperfusion model tags</p></li><li><p>The model prefers resolutions around 640, but can do up to 768 to a degree</p></li><li><p>Training tags attached under model download section</p><p></p></li></ul><p></p><p><strong>V5 Changelog:</strong></p><ul><li><p>v5 now uses LoRA!</p></li><li><p><em>What changed since v4</em>? I trained a breast size classifier to auto label the dataset which resulted in better control over breast size, and made it easier to generate larger sizes.</p></li><li><p>Note that the trigger words in v5 are ordered in the following from smallest size to largest:<br /><strong>breasts, large breasts, huge breasts, gigantic breasts</strong></p></li></ul><p></p><p><strong>V4 Info:</strong></p><p>the keyword for v4 remains <strong>hyperbreasts</strong>, if you want better control over the size use v5</p><p></p><p><strong>Notes:</strong></p><p>I used this to train my image tagging classifiers for breast sizes<br /><a target="_blank" rel="ugc" href="https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification">https://github.com/huggingface/transformers/tree/main/examples/pytorch/image-classification</a></p>
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modelVersions.description: <ul><li><p>Added some more variety in breast shapes to the dataset</p></li><li><p>Less harmful to the overall style than v5</p></li></ul><p><strong>Training Details:</strong></p><ul><li><p>2k images</p></li><li><p>16 epocs</p></li></ul><ul><li><p>learning rate 2e-4</p></li></ul><ul><li><p>text encoder LR 5e-5</p></li><li><p>base model Av3</p></li><li><p>clip skip 2</p></li><li><p>random flip</p></li><li><p>tag drop chance 0.1</p></li><li><p>bucketing at 768</p></li><li><p>dim 16</p></li><li><p>alpha 8</p></li><li><p>150 tokens</p></li><li><p>cosine with restarts</p></li><li><p>training with tags, tags attached next to model download</p></li><li><p>Kohya LoRA LoCon, does not require any additional extensions to use</p></li></ul>
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