Urethral penetration (Noob and Pony Version)
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このバージョンについて
{
"LoRA_type": "LyCORIS/LoHa",
"LyCORIS_preset": "full",
"adaptive_noise_scale": 0,
"additional_parameters": "--zero_terminal_snr ",
"ae": "",
"apply_t5_attn_mask": false,
"async_upload": false,
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"blocks_to_swap": 0,
"bucket_no_upscale": true,
"bucket_reso_steps": 64,
"bypass_mode": false,
"cache_latents": false,
"cache_latents_to_disk": false,
"caption_dropout_every_n_epochs": 0,
"caption_dropout_rate": 0,
"caption_extension": ".txt",
"clip_g": "",
"clip_g_dropout_rate": 0,
"clip_l": "",
"clip_skip": 0,
"color_aug": false,
"constrain": 0,
"conv_alpha": 1,
"conv_block_alphas": "",
"conv_block_dims": "",
"conv_dim": 8,
"cpu_offload_checkpointing": false,
"dataset_config": "",
"debiased_estimation_loss": false,
"decompose_both": false,
"dim_from_weights": false,
"discrete_flow_shift": 3,
"dora_wd": false,
"double_blocks_to_swap": 0,
"down_lr_weight": "",
"dynamo_backend": "no",
"dynamo_mode": "default",
"dynamo_use_dynamic": false,
"dynamo_use_fullgraph": false,
"enable_all_linear": false,
"enable_bucket": true,
"epoch": 30,
"extra_accelerate_launch_args": "",
"factor": -1,
"flip_aug": true,
"flux1_cache_text_encoder_outputs": false,
"flux1_cache_text_encoder_outputs_to_disk": false,
"flux1_checkbox": false,
"fp8_base": false,
"fp8_base_unet": false,
"full_bf16": false,
"full_fp16": false,
"ggpo_beta": 0.01,
"ggpo_sigma": 0.03,
"gpu_ids": "",
"gradient_accumulation_steps": 1,
"gradient_checkpointing": true,
"guidance_scale": 3.5,
"highvram": false,
"huber_c": 0.1,
"huber_scale": 1,
"huber_schedule": "snr",
"huggingface_path_in_repo": "",
"huggingface_repo_id": "",
"huggingface_repo_type": "",
"huggingface_repo_visibility": "",
"huggingface_token": "",
"img_attn_dim": "",
"img_mlp_dim": "",
"img_mod_dim": "",
"in_dims": "",
"ip_noise_gamma": 0.1,
"ip_noise_gamma_random_strength": false,
"keep_tokens": 1,
"learning_rate": 1,
"log_config": false,
"log_tracker_config": "",
"log_tracker_name": "",
"log_with": "tensorboard",
"logging_dir": "G:/kohya_ss/outputs",
"logit_mean": 0,
"logit_std": 1,
"loraplus_lr_ratio": 0,
"loraplus_text_encoder_lr_ratio": 0,
"loraplus_unet_lr_ratio": 0,
"loss_type": "l2",
"lowvram": false,
"lr_scheduler": "cosine",
"lr_scheduler_args": "",
"lr_scheduler_num_cycles": 1,
"lr_scheduler_power": 1,
"lr_scheduler_type": "",
"lr_warmup": 0,
"lr_warmup_steps": 0,
"main_process_port": 0,
"masked_loss": false,
"max_bucket_reso": 4096,
"max_data_loader_n_workers": 0,
"max_grad_norm": 1,
"max_resolution": "1024,1024",
"max_timestep": 1000,
"max_token_length": 225,
"max_train_epochs": 0,
"max_train_steps": 0,
"mem_eff_attn": false,
"mem_eff_save": false,
"metadata_author": "",
"metadata_description": "",
"metadata_license": "",
"metadata_tags": "",
"metadata_title": "",
"mid_lr_weight": "",
"min_bucket_reso": 1024,
"min_snr_gamma": 5,
"min_timestep": 0,
"mixed_precision": "bf16",
"mode_scale": 1.29,
"model_list": "custom",
"model_prediction_type": "sigma_scaled",
"module_dropout": 0,
"multi_gpu": false,
"multires_noise_discount": 0.1,
"multires_noise_iterations": 6,
"network_alpha": 1,
"network_dim": 16,
"network_dropout": 0.1,
"network_weights": "",
"noise_offset": 0,
"noise_offset_random_strength": false,
"noise_offset_type": "Original",
"num_cpu_threads_per_process": 2,
"num_machines": 1,
"num_processes": 1,
"optimizer": "prodigyplus.ProdigyPlusScheduleFree",
"optimizer_args": "\"weight_decay=0\" \"d_coef=1\" \"use_bias_correction=True\" \"betas=0.9,0.999\"",
"output_dir": "G:/kohya_ss/outputs",
"output_name": "penis_in_penis_full-NAI-VPRED1.0-V1-loha-dim16conv8alpha1-drop0.1-SNR5",
"persistent_data_loader_workers": false,
"pos_emb_random_crop_rate": 0,
"pretrained_model_name_or_path": "G:/reForge2/stable-diffusion-webui-reForge/models/Stable-diffusion/NAI/noobaiXLNAIXL_vPred10Version.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": 1,
"sample_every_n_steps": 0,
"sample_prompts": "rsbdownin, office lady, 2girls, sagging testicles, swivel chair, black high heels, office chair, futa on futa, office, anilingus, ass, skirt, chair, indoors, desk, penis inserted, shirt, monitor, anus, full-package futanari, long sleeves, white shirt, tongue out, window blinds, black skirt, black hair, hand on another's thigh, handjob, large tucked penis, urethral insertion, urethral penetration, back view, flaccid, very awa, masterpiece, best quality, good quality, absurdres, highres, newest, very aesthetic, --n worst aesthetic, worst quality, normal quality, lowres, old, early, mid, recent, ambiguous form, bad anatomy, bad fingers, bad hands, watermark, username, logo, signature, bar censor, mosaic censoring --w 1024 --h 1024 --l 5 --s 30",
"sample_sampler": "euler",
"save_clip": false,
"save_every_n_epochs": 1,
"save_every_n_steps": 0,
"save_last_n_epochs": 0,
"save_last_n_epochs_state": 0,
"save_last_n_steps": 0,
"save_last_n_steps_state": 0,
"save_model_as": "safetensors",
"save_precision": "bf16",
"save_state": false,
"save_state_on_train_end": false,
"save_state_to_huggingface": false,
"save_t5xxl": false,
"scale_v_pred_loss_like_noise_pred": false,
"scale_weight_norms": 0,
"sd3_cache_text_encoder_outputs": false,
"sd3_cache_text_encoder_outputs_to_disk": false,
"sd3_checkbox": false,
"sd3_clip_l": "",
"sd3_clip_l_dropout_rate": 0,
"sd3_disable_mmap_load_safetensors": false,
"sd3_enable_scaled_pos_embed": false,
"sd3_fused_backward_pass": false,
"sd3_t5_dropout_rate": 0,
"sd3_t5xxl": "",
"sd3_text_encoder_batch_size": 1,
"sdxl": true,
"sdxl_cache_text_encoder_outputs": false,
"sdxl_no_half_vae": true,
"seed": 31337,
"shuffle_caption": true,
"single_blocks_to_swap": 0,
"single_dim": "",
"single_mod_dim": "",
"skip_cache_check": false,
"split_mode": false,
"split_qkv": false,
"stop_text_encoder_training": 0,
"t5xxl": "",
"t5xxl_device": "",
"t5xxl_dtype": "bf16",
"t5xxl_lr": 0,
"t5xxl_max_token_length": 512,
"text_encoder_lr": 1,
"timestep_sampling": "sigma",
"train_batch_size": 5,
"train_blocks": "all",
"train_data_dir": "G:/dataset/concept/penis_in_penis_V2_Full",
"train_double_block_indices": "all",
"train_lora_ggpo": false,
"train_norm": false,
"train_on_input": true,
"train_single_block_indices": "all",
"train_t5xxl": false,
"training_comment": "",
"txt_attn_dim": "",
"txt_mlp_dim": "",
"txt_mod_dim": "",
"unet_lr": 1,
"unit": 1,
"up_lr_weight": "",
"use_cp": false,
"use_scalar": false,
"use_tucker": false,
"v2": false,
"v_parameterization": true,
"v_pred_like_loss": 0,
"vae": "",
"vae_batch_size": 0,
"wandb_api_key": "",
"wandb_run_name": "",
"weighted_captions": false,
"weighting_scheme": "logit_normal",
"xformers": "xformers"
}
モデル説明
Ver Noob V-PRED V1
OneTrainer を使用して NOOB E-PRED V1.0 を基にトレーニング。このバージョンのトレーニング詳細についてはこちらを参照。このバージョンではキーワードを変更。詳細は例を参照。
利点:
- アートスタイルとトリガー単語への反応が改善。
欠点:
まだ多くの試行が必要
解剖学的な歪みが頻発。
Ver Noob Experimental
NOOB E-PRED V0.75 を基にトレーニング。
利点:
- アートスタイルが改善。
欠点:
前バージョンと比較してトリガー単語への感度が低い。
解剖学的な歪みが頻発。
Ver1.5 更新版
4つのビュー設定。陰茎のねじれを防ぐため、貫通側と被貫通側に分離。ただし、トリガー単語への感度は依然として低い。また、X線プロンプトも使用。
アートスタイルへの影響を軽減するために正則化手法を採用。
一部のキーワードは過剰学習を引き起こす可能性があるため、その場合はトリガーキーワードの重みまたは LoRA の重みを下げること。
はじめに
Pony を基にした LyCORISで、尿道性交というコンセプトを生成。3つのトリガー単語セットを用意。まずは例を参照。
利点
- コンセプト生成
欠点
トリガー単語に反応しにくいため、重みを上げたり、何度も試行する必要がある
多くの試行が必要
アートスタイルへの強い影響
側面ビューのみ対応。背面ビューなどは混乱を引き起こす
トレーニング詳細
バージョンについて参照。













