description: <p>Due to limited image <br />Therefore it is necessary to press the weight of Unet and TE down.</p><p><strong><span style="color:rgb(250, 82, 82)">Main tag</span></strong><span style="color:rgb(250, 82, 82)"> </span><span style="color:rgb(193, 194, 197)">: milk bath</span><br /><strong><span style="color:rgb(250, 176, 5)">Secondary tag </span></strong><span style="color:rgb(193, 194, 197)">: nude, navel, nipples, pussy,</span><br /><strong>LoRA str : 1.0-1.2</strong><br /><strong>Prompt str : 1.0-1.2</strong><br /><strong>Denoising str : 0.25 to 0.40 [if use upscale by 2+ reduce step]</strong></p><p><strong>Image Train : 159</strong></p><p><strong>Training Powershell info :</strong></p><ul><li><p>DIM/Alpha : 16/16</p></li><li><p>Train batch size : 4</p></li><li><p>Training step : 2150x4x1 = 8600 step</p></li><li><p>Learning rate Unet : 1e-4</p></li><li><p>Text Encoder Ratio : 0.5</p></li><li><p><span style="color:rgb(193, 194, 197)">resolution : 512</span></p></li><li><p>mix/save_precision = BF16</p></li><li><p>optimizer_type = AdamW</p></li><li><p>GPU : RTX 4060 16GB 160W</p></li><li><p>Torch 2.2 + cu12.1 + Xformers</p></li><li><p>Vram used : 11.1GB</p></li><li><p>Speed : 1.70it/s</p></li><li><p>Loss Train : 0.124</p></li><li><p>Loss Test : ???</p></li><li><p>Local minimum : 5 time</p></li><li><p>Global Peak minimum : 0.016</p></li><li><p>Global Peak Maximum : 0.4627</p></li><li><p>UNet weight average strength: 0.01267</p></li><li><p>Text Encoder (1) weight average strength: 0.0101132</p></li></ul>
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modelVersions.trainedWords: milk bath
name: Milk bath
tags: concept