ModelsLab/Anime Sketch (Style) [ZIT & SDXL] - SDXL

[sdxl_arguments]cache_text_encoder_outputs = falseno_half_vae = truemin_timestep = 0max_timestep = 1000shuffle_caption = truelowram = true[model_arguments]pretrained_model_name_or_path = "stabilityai/stable-diffusion-xl-base-1.0"vae = "/content/vae/sdxl_vae.safetensors"[dataset_arguments]debug_dataset = falsein_json = "/content/LoRA/meta_lat.json"train_data_dir = "/content/drive/MyDrive/lora_training/datasets/Anime_Sketch_SDXL"dataset_repeats = 2keep_tokens = 1resolution = "1024,1024"color_aug = falsetoken_warmup_min = 1token_warmup_step = 0[training_arguments]output_dir = "/content/drive/MyDrive/kohya-trainer/output/Anime_Sketch_SDXL"output_name = "Anime_Sketch_SDXL"save_precision = "fp16"save_every_n_epochs = 1train_batch_size = 4max_token_length = 225mem_eff_attn = falsesdpa = truexformers = falsemax_train_epochs = 10max_data_loader_n_workers = 8persistent_data_loader_workers = truegradient_checkpointing = truegradient_accumulation_steps = 1mixed_precision = "fp16"[logging_arguments]log_with = "tensorboard"logging_dir = "/content/LoRA/logs"log_prefix = "Anime_Sketch_SDXL"[sample_prompt_arguments]sample_sampler = "euler_a"[saving_arguments]save_model_as = "safetensors"[optimizer_arguments]optimizer_type = "AdaFactor"learning_rate = 0.0001max_grad_norm = 0optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]lr_scheduler = "constant_with_warmup"lr_warmup_steps = 100[additional_network_arguments]no_metadata = falsenetwork_module = "networks.lora"network_dim = 32network_alpha = 16network_args = []network_train_unet_only = true