Type | |
Stats | 599 177 39 |
Reviews | (69) |
Published | Mar 29, 2024 |
Base Model | |
Trigger Words | shobufuku tracen_uniform |
Hash | AutoV2 4FCB2DB959 |
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": "/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": "verxina-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_verxina_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, long hair, breasts, looking at viewer, simple background, black hair, hair ornament, hat, white background, animal ears, medium breasts, standing, purple eyes, tail, full body, pantyhose, arm up, high heels, black pantyhose, horse ears, horse girl, horse tail, arm behind head, top hat --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/verxina_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》的极峰角色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