<h1 id="trigger-word-for-prompt:-detached-foreskin">Trigger word for prompt: detached foreskin</h1><h2 id="detaches-the-foreskin-and-&quot;peels-()&quot;-it-back-to-about-the-middle-of-the-penis">Detaches the foreskin and "peels (剝)" it back to about the middle of the penis</h2><ul><li>Check my images for prompts / LoRA combinations</li><li>LoRA strength best between 0.8 and 1.5 (see the "About this version" information)</li><li>Some sample images are upscaled with 4x-AnimeSharp and Ultimate SD upscale.</li><li>Generated using ComfyUI</li><li>Please share your creations so I can see how well it's working with other styles! :)</li></ul><h1 id="general-training-settings">General Training Settings</h1><ul><li>LoRA_Easy_Training_Scripts to train the model</li><li>DatasetProcessorDesktop to crop and manage images </li><li>BooruDatasetTagManager to manage tags</li><li>See "About this version" for individual training details (right side)</li></ul><h1 id="v4.6-training-details">v4.6 Training Details</h1><ul><li>LoRA_Easy_Training_Scripts to train the model (.toml available under version info tab)</li><li>DatasetProcessorDesktop to crop and sort images </li><li>BooruDatasetTagManager to manage tags</li><li>Trained on different artist, grouped into subsets</li><li>Only 700 Steps (got lucky?)</li><li>Size of penis may be difficult to control at times</li></ul><h1 id="v3.2-and-v3.3-training-details">v3.2 and v3.3 Training Details</h1><ul><li>Set of 222 images, Repeats 2, Batch Size 4, Epochs 40 total but it only made 38?</li><li>Best results around 14 epochs (-0014) = ~6214 steps of training?<ul><li>It didn't seem too overtrained even after 40 epochs</li></ul></li><li>LoRA Type: LyCORIS/LoCon for smaller file size</li><li>Lower Network Rank = Lower File Size</li><li>Prodigy Optimizer automatically adjusts learning rate during training</li></ul><h1 id="v2.0-lora-training-details">v2.0 LoRA Training Details</h1><ul><li>Set of 240 images, Repeats 5, Epochs 6</li><li>Instance Prompt: detached foreskin, Class Prompt: penis</li><li>LoRA Type: standard</li><li>Max Train Steps: 7200 (because = 240x5x6)</li><li>bf16 precision</li><li>SDXL enabled, resolution of 1024x1024</li><li>Buckets enabled, don't upscale resolution. Resolution min: 256, max: 4096</li><li>Optimizer: Adafactor, args: scale_parameter=False relative_step=False warmup_init=False</li><li>LR Scheduler: constant</li><li>Learning Rate: 0.000025, Text Encode Rate: 0.0001, Unet Learning Rate: 0.0001</li><li>Network Rank: 64, Alpha: 1 &lt;-- mess with these settings later, they seem important</li><li>Saved every 1 epoch, best results around 3 epochs (-0003) = ~3600 steps of training<ul><li>Doesn't affect style too hard, appears with low weight (0.5), can go to very high weights (2.0) without completely destroying image</li></ul></li><li>(other settings didn't seem too important yet?)</li></ul>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!

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

LyCORIS LoCon. Smaller file size, better training data.Trained on Illustrious-XL <a target="_blank" rel="ugc" href="https://civitai.com/models/795765">https://civitai.com/models/795765</a>Seems to work best with strength 0.8 to 1.2Training Settings:<pre><code>{
 "LoRA_type": "LyCORIS/LoCon",
 "LyCORIS_preset": "full",
 "adaptive_noise_scale": 0,
 "additional_parameters": "--network_train_unet_only --lr_scheduler_type \"CosineAnnealingLR\" --lr_scheduler_args \"T_max=40\"",
 "async_upload": false,
 "block_alphas": "",
 "block_dims": "",
 "block_lr_zero_threshold": "",
 "bucket_no_upscale": true,
 "bucket_reso_steps": 64,
 "bypass_mode": false,
 "cache_latents": true,
 "cache_latents_to_disk": true,
 "caption_dropout_every_n_epochs": 0,
 "caption_dropout_rate": 0,
 "caption_extension": ".txt",
 "clip_skip": 2,
 "color_aug": false,
 "constrain": 0,
 "conv_alpha": 1,
 "conv_block_alphas": "",
 "conv_block_dims": "",
 "conv_dim": 16,
 "dataset_config": "",
 "debiased_estimation_loss": false,
 "decompose_both": false,
 "dim_from_weights": false,
 "dora_wd": false,
 "down_lr_weight": "",
 "dynamo_backend": "no",
 "dynamo_mode": "default",
 "dynamo_use_dynamic": false,
 "dynamo_use_fullgraph": false,
 "enable_bucket": true,
 "epoch": 40,
 "extra_accelerate_launch_args": "",
 "factor": -1,
 "flip_aug": false,
 "fp8_base": false,
 "full_bf16": true,
 "full_fp16": false,
 "gpu_ids": "",
 "gradient_accumulation_steps": 1,
 "gradient_checkpointing": true,
 "huber_c": 0.1,
 "huber_schedule": "snr",
 "huggingface_path_in_repo": "",
 "huggingface_repo_id": "",
 "huggingface_repo_type": "",
 "huggingface_repo_visibility": "",
 "huggingface_token": "",
 "ip_noise_gamma": 0.1,
 "ip_noise_gamma_random_strength": false,
 "keep_tokens": 3,
 "learning_rate": 1,
 "log_tracker_config": "",
 "log_tracker_name": "",
 "log_with": "",
 "loss_type": "l2",
 "lr_scheduler": "cosine",
 "lr_scheduler_args": "",
 "lr_scheduler_num_cycles": 1,
 "lr_scheduler_power": 1,
 "lr_warmup": 0,
 "main_process_port": 0,
 "masked_loss": false,
 "max_bucket_reso": 2048,
 "max_data_loader_n_workers": 0,
 "max_grad_norm": 1,
 "max_resolution": "1024,1024",
 "max_timestep": 1000,
 "max_token_length": 75,
 "max_train_epochs": 0,
 "max_train_steps": 0,
 "mem_eff_attn": false,
 "metadata_author": "itsukoko",
 "metadata_description": "",
 "metadata_license": "",
 "metadata_tags": "detached foreskin,penis,",
 "metadata_title": "",
 "mid_lr_weight": "",
 "min_bucket_reso": 256,
 "min_snr_gamma": 1,
 "min_timestep": 0,
 "mixed_precision": "bf16",
 "model_list": "custom",
 "module_dropout": 0,
 "multi_gpu": false,
 "multires_noise_discount": 0.3,
 "multires_noise_iterations": 0,
 "network_alpha": 1,
 "network_dim": 16,
 "network_dropout": 0.1,
 "network_weights": "",
 "noise_offset": 0.03,
 "noise_offset_random_strength": false,
 "noise_offset_type": "Original",
 "num_cpu_threads_per_process": 2,
 "num_machines": 1,
 "num_processes": 1,
 "optimizer": "Prodigy",
 "optimizer_args": "decouple=True weight_decay=0.1 d_coef=2 use_bias_correction=True betas=0.9,0.99",
 "output_name": "detached_foreskin_v03.3_ILXL",
 "persistent_data_loader_workers": false,
 "pretrained_model_name_or_path": "illustriousXL_v01.safetensors",
 "prior_loss_weight": 1,
 "random_crop": false,
 "rank_dropout": 0,
 "rank_dropout_scale": false,
 "reg_data_dir": "",
 "rescaled": false,
 "resume": "",
 "resume_from_huggingface": "",
 "sample_every_n_epochs": 0,
 "sample_every_n_steps": 0,
 "sample_prompts": "",
 "sample_sampler": "euler_a",
 "save_every_n_epochs": 1,
 "save_every_n_steps": 0,
 "save_last_n_steps": 0,
 "save_last_n_steps_state": 0,
 "save_model_as": "safetensors",
 "save_precision": "bf16",
 "save_state": true,
 "save_state_on_train_end": true,
 "save_state_to_huggingface": false,
 "scale_v_pred_loss_like_noise_pred": false,
 "scale_weight_norms": 0,
 "sdxl": true,
 "sdxl_cache_text_encoder_outputs": false,
 "sdxl_no_half_vae": true,
 "seed": 0,
 "shuffle_caption": false,
 "stop_text_encoder_training_pct": 0,
 "text_encoder_lr": 1,
 "train_batch_size": 4,
 "train_norm": false,
 "train_on_input": true,
 "training_comment": "",
 "unet_lr": 1,
 "unit": 1,
 "up_lr_weight": "",
 "use_cp": false,
 "use_scalar": false,
 "use_tucker": false,
 "v2": false,
 "v_parameterization": false,
 "v_pred_like_loss": 0,
 "vae": "",
 "vae_batch_size": 0,
 "wandb_api_key": "",
 "wandb_run_name": "",
 "weighted_captions": false,
 "xformers": "xformers"
}</code></pre>

Files with SHA256: 2787b8121b0573c1c8a3733d02a0d1111a67a2e620b6bd4da3143b5e0a80aa9c