Delete Yinsu_config

Yinsu_config/config_file.toml

@@ -1,78 +0,0 @@
-[sdxl_arguments]
-cache_text_encoder_outputs = false
-no_half_vae = true
-min_timestep = 0
-max_timestep = 1000
-shuffle_caption = true
-lowram = true
-
-[model_arguments]
-pretrained_model_name_or_path = "Kutches/endgame"
-vae = "/content/vae/sdxl_vae.safetensors"
-
-[dataset_arguments]
-debug_dataset = false
-in_json = "/content/LoRA/meta_lat.json"
-train_data_dir = "/content/LoRA/train_data"
-dataset_repeats = 11
-keep_tokens = 1
-resolution = "1024,1024"
-color_aug = false
-token_warmup_min = 1
-token_warmup_step = 0
-
-[training_arguments]
-output_dir = "/content/LoRA/output/Yinsu"
-output_name = "Yinsu"
-save_precision = "fp16"
-save_every_n_epochs = 1
-train_batch_size = 2
-max_token_length = 225
-mem_eff_attn = false
-sdpa = false
-xformers = true
-max_train_epochs = 10
-max_data_loader_n_workers = 8
-persistent_data_loader_workers = true
-gradient_checkpointing = true
-gradient_accumulation_steps = 1
-mixed_precision = "fp16"
-cache_latents = true
-cache_latents_to_disk = true
-
-[logging_arguments]
-log_with = "tensorboard"
-logging_dir = "/content/LoRA/logs"
-log_prefix = "Yinsu"
-
-[sample_prompt_arguments]
-sample_every_n_epochs = 1
-sample_sampler = "dpmsolver++"
-
-[saving_arguments]
-save_model_as = "safetensors"
-
-[optimizer_arguments]
-optimizer_type = "AdaFactor"
-learning_rate = 0.0005
-network_train_unet_only = true
-max_grad_norm = 0
-optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False",]
-lr_scheduler = "cosine_with_restarts"
-lr_warmup_steps = 100
-lr_scheduler_num_cycles = 3
-
-[additional_network_arguments]
-no_metadata = false
-network_module = "networks.lora"
-network_dim = 32
-network_alpha = 32
-network_args = []
-
-[advanced_training_config]
-save_state = false
-save_last_n_epochs_state = false
-caption_dropout_rate = 0
-caption_tag_dropout_rate = 0.5
-caption_dropout_every_n_epochs = 0
-min_snr_gamma = 5

Yinsu_config/sample_prompt.toml

@@ -1,9 +0,0 @@
-[prompt]
-negative_prompt = "3d render, smooth, plastic, blurry, grainy, low-resolution, deep-fried, oversaturated"
-width = 1024
-height = 1024
-scale = 12
-sample_steps = 28
-[[prompt.subset]]
-prompt = "femme ewpp, young woman, standing on house"
-