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Detached / Peeled Foreskin Penis (剝けチン / ズル剝け) [IllustriousXL / PonyXL]

#包皮

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Mio with expression sulk

哎呀,這個封面不能展示了…

這個封面沒有通過內容規則檢查,別擔心,模型仍然可以正常搜尋和使用! 換一張適合所有人的封面就好啦!

上傳時間
2026年1月9日 上午9:39
使用數
266
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detached foreskin

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描述

Trigger word for prompt: detached foreskinDetaches the foreskin and "peels (剝)" it back to about the middle of the penisCheck my images for prompts / LoRA combinationsLoRA strength best between 0.8 and 1.5 (see the "About this version" information)Some sample images are upscaled with 4x-AnimeSharp and Ultimate SD upscale.Generated using ComfyUIPlease share your creations so I can see how well it's working with other styles! :)General Training SettingsLoRA_Easy_Training_Scripts to train the modelDatasetProcessorDesktop to crop and manage images BooruDatasetTagManager to manage tagsSee "About this version" for individual training details (right side)v4.6 Training DetailsLoRA_Easy_Training_Scripts to train the model (.toml available under version info tab)DatasetProcessorDesktop to crop and sort images BooruDatasetTagManager to manage tagsTrained on different artist, grouped into subsetsOnly 700 Steps (got lucky?)Size of penis may be difficult to control at timesv3.2 and v3.3 Training DetailsSet of 222 images, Repeats 2, Batch Size 4, Epochs 40 total but it only made 38?Best results around 14 epochs (-0014) = ~6214 steps of training?It didn't seem too overtrained even after 40 epochsLoRA Type: LyCORIS/LoCon for smaller file sizeLower Network Rank = Lower File SizeProdigy Optimizer automatically adjusts learning rate during trainingv2.0 LoRA Training DetailsSet of 240 images, Repeats 5, Epochs 6Instance Prompt: detached foreskin, Class Prompt: penisLoRA Type: standardMax Train Steps: 7200 (because = 240x5x6)bf16 precisionSDXL enabled, resolution of 1024x1024Buckets enabled, don't upscale resolution. Resolution min: 256, max: 4096Optimizer: Adafactor, args: scale_parameter=False relative_step=False warmup_init=FalseLR Scheduler: constantLearning Rate: 0.000025, Text Encode Rate: 0.0001, Unet Learning Rate: 0.0001Network Rank: 64, Alpha: 1 <-- mess with these settings later, they seem importantSaved every 1 epoch, best results around 3 epochs (-0003) = ~3600 steps of trainingDoesn't affect style too hard, appears with low weight (0.5), can go to very high weights (2.0) without completely destroying image(other settings didn't seem too important yet?)P.S. This is my first concept (idk what im doing most of the time). If you have any tips or advice, please comment on this model or DM me. It will improve this model and future ones that I make.Thank you!

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