Mature Female
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关于此版本
模型描述
天啊,我受够了这些模型无法正确表达15到65岁之间的年龄范围。它们似乎只知道“10岁”、“15岁”、“15岁但胸部大得离谱”,还有“基本上像葡萄干的老奶奶”。
这个LoRA旨在让你能够生成真正看起来像成年女性的图像。未经修改时,Illustrious似乎认为“成熟女性”只是指“夸张的身材比例”,所以我专注于成熟面部特征,而不仅仅是巨大的胸部,因为与动漫告诉你的相反,并非所有成年女性都有F罩杯。
版本3信息:
关键词是“mtrfem”。这是我尝试的新方法:该概念是基于一个全新的标记进行训练,而不是修改现有的“成熟女性”术语。问题在于,“成熟女性”这个词包含了许多与年龄无关的其他偏见和联想,因此它往往会过度改变角色特征。希望这个新关键词能改善这一点。你只需单独使用“1girl, mtrfem”就能轻松让任何角色变得成熟,且副作用极小。
你仍可像往常一样使用所有其他常规修饰词——如曲线美、丰满、阴毛、大胸等——或完全不使用。还有一个次要关键词“mtrolder”,原本用于生成看起来超过50岁的女性,但效果并不稳定。它能让角色看起来没那么亮泽、少点妆感,增加一些磨损和粗糙的质感,可能适合某些风格。欢迎自由尝试。
如果你不介意增加一些额外的偏见,将“mtrfem”与“成熟女性”结合使用,据我观察,能产生更强烈且更精准的效果。
与版本1/2一样,如果你只想强行突破任何问题,可以将强度调高到1以上。我试过最高到2,仍然能生成相当连贯的图像。
V3的详细参数如下。一如既往,欢迎随时联系我,询问有关模型或训练过程的任何问题。
{
"LoRA_type": "Standard",
"LyCORIS_preset": "full",
"adaptive_noise_scale": 0,
"additional_parameters": "--log_prefix=mtrfem",
"async_upload": false,
"block_alphas": "",
"block_dims": "",
"block_lr_zero_threshold": "",
"bucket_no_upscale": false,
"bucket_reso_steps": 32,
"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": 4,
"conv_block_alphas": "",
"conv_block_dims": "",
"conv_dim": 4,
"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": 0,
"extra_accelerate_launch_args": "",
"factor": -1,
"flip_aug": true,
"fp8_base": false,
"full_bf16": false,
"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,
"ip_noise_gamma_random_strength": false,
"keep_tokens": 1,
"learning_rate": 0.0001,
"log_tracker_config": "",
"log_tracker_name": "",
"log_with": "tensorboard",
"logging_dir": "D:/Coding/kohya_ss/logs",
"loss_type": "huber",
"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": 150,
"max_train_epochs": 12,
"max_train_steps": 0,
"mem_eff_attn": false,
"metadata_author": "restlessboy",
"metadata_description": "",
"metadata_license": "",
"metadata_tags": "mtrfem, mtr_middleage, curvy, large breasts, plump, pubic hair, nude",
"metadata_title": "mature female",
"mid_lr_weight": "",
"min_bucket_reso": 64,
"min_snr_gamma": 0,
"min_timestep": 0,
"mixed_precision": "fp16",
"model_list": "custom",
"module_dropout": 0.1,
"multi_gpu": false,
"multires_noise_discount": 0,
"multires_noise_iterations": 0,
"network_alpha": 16,
"network_dim": 16,
"network_dropout": 0.1,
"network_weights": "",
"noise_offset": 0.0357,
"noise_offset_random_strength": false,
"noise_offset_type": "Original",
"num_cpu_threads_per_process": 2,
"num_machines": 1,
"num_processes": 1,
"optimizer": "AdamW",
"optimizer_args": "",
"output_dir": "D:/Coding/kohya_ss/outputs/model",
"output_name": "mtrfem",
"persistent_data_loader_workers": false,
"pretrained_model_name_or_path": "D:/ai-models/Illustrious-v1",
"prior_loss_weight": 1,
"random_crop": false,
"rank_dropout": 0.1,
"rank_dropout_scale": false,
"reg_data_dir": "",
"rescaled": false,
"resume": "",
"resume_from_huggingface": "",
"sample_every_n_epochs": 0,
"sample_every_n_steps": 200,
"sample_prompts": "masterpiece, best quality, 1girl, mtrfem --w 1024 --h 1024 --d 70 --l 6.0 --s 20 --n worst quality, lowres, 3d\nmasterpiece, best quality, 1girl, mtrfem, nude --w 1024 --h 1024 --d 71 --l 6.0 --s 20 --n worst quality, lowres, 3d\nmasterpiece, best quality, 1girl, mtrfem, bikini, pubic hair peek --w 1024 --h 1024 --d 72 --l 6.0 --s 20 --n worst quality, lowres, 3d",
"sample_sampler": "euler_a",
"save_every_n_epochs": 0,
"save_every_n_steps": 0,
"save_last_n_steps": 0,
"save_last_n_steps_state": 0,
"save_model_as": "safetensors",
"save_precision": "fp16",
"save_state": false,
"save_state_on_train_end": false,
"save_state_to_huggingface": false,
"scale_v_pred_loss_like_noise_pred": false,
"scale_weight_norms": 1,
"sdxl": true,
"sdxl_cache_text_encoder_outputs": false,
"sdxl_no_half_vae": true,
"seed": 7,
"shuffle_caption": true,
"stop_text_encoder_training_pct": 0,
"text_encoder_lr": null,
"train_batch_size": 2,
"train_data_dir": "D:/Coding/kohya_ss/dataset/img",
"train_norm": false,
"train_on_input": false,
"training_comment": "trigger: mtrfem",
"unet_lr": null,
"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"
}





