Type | |
Stats | 549 102 3 |
Reviews | (53) |
Published | Mar 29, 2024 |
Base Model | |
Trigger Words | tracen_unifrom shobufuku casual_clothes |
Hash | AutoV2 0AB02C8128 |
训练参数
{ "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": "", "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": "225", "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": "Naritatoproad-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": "/root/autodl-tmp/reg_Naritatoproad_XL", "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, shobufuku, 1girl, solo, looking at viewer, smile, short hair, bangs, blonde hair, simple background, gloves, long sleeves, white background, dress, animal ears, standing, purple eyes, tail, full body, boots, shorts, thigh strap, black shorts, knee boots, horse ears, horse girl, horse tail --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": 4, "train_data_dir": "/root/autodl-tmp/Naritatoproad_XL", "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" }
导言
这是一个基于Pony模型训练的《Umamusume Pretty Deby》《闪耀优俊少女》的成田路角色LyCORIS。
使用方法
建议以0.8左右的权重使用。
在打标过程中,为隔离元素污染,采用了每个卡面分开设关键词的方法,以下是各个立绘的关键词:
特雷森制服:tracen_unifrom
决胜服:shobufuku
私服:casual_clothes