原本就预料到效果不好，因此根据后续贝阿格尔塔角色的反馈重新调整了训练。
也将基础模型改为ebara。
注意：如果不给角色穿上黑色水手服，就不会显得像阿里马。
"ss_sd_model_name": "ebara_pony_1.bakedVAE.safetensors",
"ss_resolution": "(1024, 1024)",
"ss_clip_skip": "None",
"ss_num_train_images": "745",
"ss_enable_bucket": "True",
"ss_lr_scheduler": "constant",
"ss_max_token_length": "225",
"ss_sd_scripts_commit_hash": "6b1520a46b1b6ee7c33092537dc9449d1cc4f56f",
"ss_max_train_steps": "600",
"ss_batch_size_per_device": "2",
"ss_v2": "False",
"ss_cache_latents": "True",
"ss_mixed_precision": "bf16",
"ss_random_crop": "False",
"ss_gradient_accumulation_steps": "32",
"ss_optimizer": "prodigyopt.prodigy.Prodigy(safeguard_warmup=True)",
"ss_learning_rate": "1.0",
"ss_max_grad_norm": "1.0",
"modelspec.resolution": "1024x1024",
"ss_prior_loss_weight": "0.1",
"ss_keep_tokens": "2",
"ss_base_model_version": "sdxl_base_v1-0",
"ss_num_reg_images": "0",
"ss_bucket_no_upscale": "True",
"ss_network_dim": "32",
"ss_caption_dropout_rate": "0.05",
"ss_num_epochs": "50",
"ss_num_batches_per_epoch": "380",
"ss_network_alpha": "1.0",
"ss_network_module": "networks.lora",
"modelspec.date": "2024-03-31T00:04:27",
"ss_gradient_checkpointing": "True",
"ss_zero_terminal_snr": "False",
"ss_face_crop_aug_range": "None",
"modelspec.sai_model_spec": "1.0.0",
"ss_unet_lr": "None",
"ss_seed": "946220687",
"ss_lr_warmup_steps": "0",
"ss_lowram": "False",
"ss_text_encoder_lr": "None",
"ss_output_name": "Alim-XL_003",
"ss_multires_noise_discount": "0.3",
"ss_total_batch_size": "64",
"ss_training_started_at": "1711779167.2030387",
"ss_color_aug": "False",
"ss_session_id": "1431016150",
"modelspec.prediction_type": "epsilon",
"ss_min_snr_gamma": "5.0",
"ss_steps": "480",
"ss_training_finished_at": "1711811067.5053518",
"ss_min_bucket_reso": "256",
"ss_caption_dropout_every_n_epochs": "0",
"ss_shuffle_caption": "True",
"ss_max_bucket_reso": "2048",
"ss_flip_aug": "False",
"ss_epoch": "40"
