Admire Vega PonyXL - Umamusume Pretty Deby
详情
关于此版本
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": 0.1, "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": "admire_vega_XL-ponyXL_dropout", "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_admire_vega_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, evening_dress, 1girl, solo, long hair, looking at viewer, bangs, simple background, brown hair, white background, dress, holding, animal ears, hair between eyes, brown eyes, closed mouth, tail, official alternate costume, cup, blue dress, horse ears, horse girl, holding cup, horse tail, drinking glass, ear covers, single ear cover, admire vega \\(umamusume\\) --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/admire_vega_XL_v1", "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
已更新
增加愚人节活动 Neo Admire Vega 卡面。
导言
这是一个基于 Pony 模型训练的《Umamusume Pretty Derby》《闪耀优俊少女》角色爱慕织姬的 LyCORIS。
使用方法
建议以约 0.8 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
晚礼服:evening_dress




