Delete watercolor_v2

watercolor_v2/watercolor.toml

@@ -1,40 +0,0 @@
-pretrained_model_name_or_path = "sd-models/animefull-final-pruned.safetensors"
-train_data_dir = "/kaggle/input/lora-train-picture/watercolor"
-shuffle_caption = true
-caption_extension = ".txt"
-keep_tokens = 1
-resolution = "512,768"
-enable_bucket = true
-output_dir = "/kaggle/working/output"
-output_name = "watercolor"
-save_precision = "fp16"
-save_every_n_epochs = 1
-train_batch_size = 2
-max_token_length = 225
-xformers = true
-max_train_epochs = 12
-seed = 1337
-gradient_accumulation_steps = 64
-mixed_precision = "fp16"
-clip_skip = 2
-logging_dir = "/kaggle/working/output/logs"
-log_with = "wandb"
-log_prefix = "watercolor"
-log_tracker_name = "watercolor"
-noise_offset = 0.1
-lowram = true
-sample_every_n_epochs = 1
-sample_prompts = "/kaggle/input/lora-train-picture/watercolor/tag.txt"
-sample_sampler = "euler_a"
-optimizer_type = "Lion"
-learning_rate = 7e-5
-optimizer_args = [ "weight_decay=0.01", "betas=.95,.98",]
-lr_scheduler = "cosine_with_restarts"
-min_snr_gamma = 5.0
-unet_lr = 7e-5
-text_encoder_lr = 8e-6
-network_module = "lycoris.kohya"
-network_dim = 128
-network_alpha = 64.0
-network_args = [ "conv_dim=64", "conv_alpha=1", "algo=loha",]
-training_comment = "watercolor-sukaka"