Delete Training_model_data

Training_model_data/TE_Train.json

@@ -1,48 +0,0 @@
-{
-  "model": {
-    "type": "sdxl",
-    "base_model_path": "SDXLCheckpoint.safetensors",
-    "revision": "main",
-    "is_full_finetune": true
-  },
-  "training": {
-    "batch_size": 1,
-    "learning_rate": 1e-6,
-    "seed": 42,
-    "max_epochs": 100,
-    "mixed_precision": "bf16",
-    "gradient_checkpointing": "NONE",
-    "layer_offload_fraction": 0.2,
-    "save_precision": "bf16",
-    "xformers": true,
-    "cache_latents": true,
-    "train_unet": false,
-    "train_text_encoder": true
-  },
-  "optimizer": {
-    "type": "AdamW8bit",
-    "params": {
-      "weight_decay": 0.01
-    },
-    "fused_backward_pass": false
-  },
-  "ema": {
-    "active": true,
-    "offload": false,
-    "decay": 0.999
-  },
-  "dataset": {
-    "concepts": [
-      {
-        "image_directory": "dataset",
-        "caption_extension": ".txt",
-        "resolutions": [1024]
-      }
-    ]
-  },
-  "output": {
-    "directory": "output",
-    "save_every_n_epochs": 1,
-    "save_name": "sdxl_finetuned"
-  }
-}

Training_model_data/Unet_Train.json

@@ -1,48 +0,0 @@
-{
-  "model": {
-    "type": "sdxl",
-    "base_model_path": "SDXLCheckpoint.safetensors",
-    "revision": "main",
-    "is_full_finetune": true
-  },
-  "training": {
-    "batch_size": 1,
-    "learning_rate": 8e-7,
-    "seed": 42,
-    "max_epochs": 100,
-    "mixed_precision": "bf16",
-    "gradient_checkpointing": "CPU_OFFLOADED",
-    "layer_offload_fraction": 0.2,
-    "save_precision": "bf16",
-    "xformers": true,
-    "cache_latents": true,
-    "train_unet": true,
-    "train_text_encoder": false
-  },
-  "optimizer": {
-    "type": "Adafactor",
-    "params": {
-      "scale_parameter": false,
-      "relative_step": false,
-      "warmup_init": false
-    },
-    "fused_backward_pass": true
-  },
-  "ema": {
-    "active": false
-  },
-  "dataset": {
-    "concepts": [
-      {
-        "image_directory": "dataset",
-        "caption_extension": ".txt",
-        "resolutions": [1024]
-      }
-    ]
-  },
-  "output": {
-    "directory": "output",
-    "save_every_n_epochs": 1,
-    "save_name": "sdxl_finetuned"
-  }
-}

Training_model_data/config_dataset_sdxl.toml

@@ -1,17 +0,0 @@
-[general]
-resolution = 1024
-caption_extension = ".txt"
-shuffle_caption = true
-enable_bucket = true
-min_bucket_reso = 512
-max_bucket_reso = 2048
-bucket_reso_steps = 32
-
-[[datasets]]
-keep_tokens = 1
-
-  [[datasets.subsets]]
-  image_dir = "/content/drive/MyDrive/dataset"
-  class_tokens = "raichu"
-  num_repeats = 3
-  keep_tokens = 1

Training_model_data/config_sdxl.toml

@@ -1,47 +0,0 @@
-[model_arguments]
-v2 = false
-sdxl = true
-v_parameterization = false
-pretrained_model_name_or_path = "SDXLCheckpoint.safetensors"
-
-[optimizer_arguments]
-optimizer_type = "Adafactor"
-optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False" ]
-learning_rate = 8e-7
-lr_scheduler = "constant_with_warmup"
-lr_warmup_steps = 200
-max_grad_norm = 0.0
-train_text_encoder = false
-adaptive_noise_scale = 0
-min_snr_gamma = 5
-
-[dataset_arguments]
-cache_latents = true
-cache_latents_to_disk = true
-debug_dataset = false
-
-[training_arguments]
-save_n_epoch_ratio = 0
-train_batch_size = 1
-mem_eff_attn = false
-max_data_loader_n_workers = 6
-persistent_data_loader_workers = true
-gradient_checkpointing = true
-gradient_accumulation_steps = 1
-mixed_precision = "no"
-save_precision = "fp16"
-logging_dir = "logs"
-log_prefix = "last"
-xformers = true
-sdpa = false
-noise_offset = 0.0357
-seed = 1234
-save_model_as = "safetensors"
-save_state = false
-
-[dreambooth_arguments]
-prior_loss_weight = 1.0
-
-[sample_prompt_arguments]
-
-[saving_arguments]