Due to limited image
Therefore it is necessary to press the weight of Unet and TE down.
Main tag : milk bath
Secondary tag : nude, navel, nipples, pussy,
LoRA str : 1.0-1.2
Prompt str : 1.0-1.2
Denoising str : 0.25 to 0.40 [if use upscale by 2+ reduce step]
Image Train : 159
Training Powershell info :
DIM/Alpha : 16/16
Train batch size : 4
Training step : 2150x4x1 = 8600 step
Learning rate Unet : 1e-4
Text Encoder Ratio : 0.5
resolution : 512
mix/save_precision = BF16
optimizer_type = AdamW
GPU : RTX 4060 16GB 160W
Torch 2.2 + cu12.1 + Xformers
Vram used : 11.1GB
Speed : 1.70it/s
Loss Train : 0.124
Loss Test : ???
Local minimum : 5 time
Global Peak minimum : 0.016
Global Peak Maximum : 0.4627
UNet weight average strength: 0.01267
Text Encoder (1) weight average strength: 0.0101132
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Available On (1 platform)
Same model published on other platforms. May have additional downloads or version variants.
