Penis orament (NOOB and Pony version)
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关于此版本
{
"LoRA_type": "LyCORIS/LoCon",
"LyCORIS_preset": "full",
"adaptive_noise_scale": 0,
"additional_parameters": "",
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"bucket_no_upscale": true,
"bucket_reso_steps": 128,
"bypass_mode": false,
"cache_latents": false,
"cache_latents_to_disk": false,
"caption_dropout_every_n_epochs": 0.0,
"caption_dropout_rate": 0,
"caption_extension": ".txt",
"clip_skip": 2,
"color_aug": false,
"constrain": 0.0,
"conv_alpha": 4,
"conv_block_alphas": "",
"conv_block_dims": "",
"conv_dim": 8,
"dataset_config": "",
"debiased_estimation_loss": false,
"decompose_both": false,
"dim_from_weights": false,
"dora_wd": false,
"down_lr_weight": "",
"enable_bucket": true,
"epoch": 10,
"factor": -1,
"flip_aug": false,
"fp8_base": false,
"full_bf16": false,
"full_fp16": false,
"gpu_ids": "",
"gradient_accumulation_steps": "1",
"gradient_checkpointing": true,
"keep_tokens": 1,
"learning_rate": 1.0,
"log_tracker_config": "",
"log_tracker_name": "",
"logging_dir": "/root/autodl-tmp/output",
"lora_network_weights": "",
"lr_scheduler": "cosine",
"lr_scheduler_args": "",
"lr_scheduler_num_cycles": "",
"lr_scheduler_power": "",
"lr_warmup": 0,
"max_bucket_reso": 4096,
"max_data_loader_n_workers": "0",
"max_grad_norm": 1,
"max_resolution": "1024,1024",
"max_timestep": 1000,
"max_token_length": "75",
"max_train_epochs": "",
"max_train_steps": "",
"mem_eff_attn": false,
"mid_lr_weight": "",
"min_bucket_reso": 1024,
"min_snr_gamma": 0,
"min_timestep": 0,
"mixed_precision": "bf16",
"model_list": "custom",
"module_dropout": 0,
"multi_gpu": false,
"multires_noise_discount": 0.1,
"multires_noise_iterations": 6,
"network_alpha": 8,
"network_dim": 16,
"network_dropout": 0,
"noise_offset": 0,
"noise_offset_type": "Multires",
"num_cpu_threads_per_process": 2,
"num_machines": 1,
"num_processes": 1,
"optimizer": "Prodigy",
"optimizer_args": "weight_decay=0.01 d_coef=1 use_bias_correction=True safeguard_warmup=False betas=0.9,0.99 decouple=True ",
"output_dir": "/root/autodl-tmp/output",
"output_name": "Penis Orament-PonyXL",
"persistent_data_loader_workers": false,
"pretrained_model_name_or_path": "/root/kohya_ss/models/ponyDiffusionV6XL.safetensors",
"prior_loss_weight": 1.0,
"random_crop": false,
"rank_dropout": 0,
"rank_dropout_scale": false,
"reg_data_dir": "",
"rescaled": false,
"resume": "",
"sample_every_n_epochs": 1,
"sample_every_n_steps": 0,
"sample_prompts": "score_9, score_8_up, score_7_up, anime BREAK, penis_stocking, 1girl, solo, long hair, breasts, looking at viewer, blush, open mouth, skirt, large breasts, simple background, black hair, white background, brown eyes, underwear, nipples, school uniform, panties, ass, ahoge, sweat, pleated skirt, serafuku, socks, looking back, clothes lift, white panties, huge breasts, covered nipples, wet, see-through, skirt lift, erection, testicles, wet clothes, futanari, ushio \\(kancolle\\), huge penis --n source_pony, source_furry, source_cartoon, greyscale, from below --w 1024 --h 1024\n ",
"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": 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": "31337",
"shuffle_caption": true,
"stop_text_encoder_training_pct": 0,
"text_encoder_lr": 1.0,
"train_batch_size": 5,
"train_data_dir": "/root/autodl-tmp/penis_orament",
"train_norm": false,
"train_on_input": true,
"training_comment": "",
"unet_lr": 1.0,
"unit": 1,
"up_lr_weight": "",
"use_cp": false,
"use_scalar": false,
"use_tucker": false,
"use_wandb": false,
"v2": false,
"v_parameterization": false,
"v_pred_like_loss": 0,
"vae": "/root/kohya_ss/models/sdxl_vae_fp16fix.safetensors",
"vae_batch_size": 0,
"wandb_api_key": "",
"wandb_run_name": "",
"weighted_captions": false,
"xformers": "xformers"
}
模型描述
版本 NOOB V-PRED V1
基于 NOOB V-PRED V1.0 训练。有关此版本的训练细节,请参见相应说明。
优点
概念生成
对触发词响应更好
缺点
艺术风格影响
需要多次尝试
版本 NOOB E-PRED V1
基于 NOOB E-PRED V1.0 训练。使用不同的触发词集合以精确控制概念。有关此版本的训练细节,请参见相应说明。
简介
一个基于小马的 LyCORIS,用于增强“阴茎装饰”概念。使用触发词控制装饰类型,使用尺寸词控制阴茎大小。请先参阅示例。
优点
概念增强
对艺术风格影响极小
缺点
对触发词响应不足,需提高权重或多次尝试
需要大量尝试
训练细节
请参见对应版本说明。







