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diff --git a/saucebear_ponyxl/dataset_config.toml b/saucebear_ponyxl/dataset_config.toml
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+++ /dev/null
@@ -1,17 +0,0 @@
-[[datasets]]
-
-[[datasets.subsets]]
-num_repeats = 20
-image_dir = "/content/drive/MyDrive/Loras/saucebear_ponyxl/dataset"
-
-[general]
-resolution = 1024
-shuffle_caption = true
-keep_tokens = 1
-flip_aug = false
-caption_extension = ".txt"
-enable_bucket = true
-bucket_no_upscale = false
-bucket_reso_steps = 64
-min_bucket_reso = 256
-max_bucket_reso = 4096
diff --git a/saucebear_ponyxl/training_config.toml b/saucebear_ponyxl/training_config.toml
deleted file mode 100644
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--- a/saucebear_ponyxl/training_config.toml
+++ /dev/null
@@ -1,50 +0,0 @@
-[network_arguments]
-unet_lr = 0.0003
-text_encoder_lr = 6e-5
-network_dim = 32
-network_alpha = 16
-network_module = "networks.lora"
-network_train_unet_only = false
-
-[optimizer_arguments]
-learning_rate = 0.0003
-lr_scheduler = "cosine_with_restarts"
-lr_scheduler_num_cycles = 3
-lr_warmup_steps = 277
-optimizer_type = "AdamW8bit"
-optimizer_args = [ "weight_decay=0.1", "betas=[0.9,0.99]",]
-
-[training_arguments]
-pretrained_model_name_or_path = "hollowstrawberry/67AB2F"
-vae = "stabilityai/sdxl-vae"
-max_train_epochs = 10
-train_batch_size = 4
-seed = 42
-max_token_length = 225
-xformers = false
-sdpa = true
-min_snr_gamma = 5
-lowram = true
-no_half_vae = true
-gradient_checkpointing = true
-gradient_accumulation_steps = 1
-max_data_loader_n_workers = 8
-persistent_data_loader_workers = true
-mixed_precision = "fp16"
-full_bf16 = false
-cache_latents = true
-cache_latents_to_disk = true
-cache_text_encoder_outputs = false
-min_timestep = 0
-max_timestep = 1000
-prior_loss_weight = 1.0
-
-[saving_arguments]
-save_precision = "fp16"
-save_model_as = "safetensors"
-save_every_n_epochs = 1
-save_last_n_epochs = 10
-output_name = "saucebear_ponyxl"
-output_dir = "/content/drive/MyDrive/Loras/saucebear_ponyxl/output"
-log_prefix = "saucebear_ponyxl"
-logging_dir = "/content/drive/MyDrive/Loras/_logs"