Upload wandb-metadata.json

logs/20250621154557/wandb/run-20250621_154846-czpb4l3m/files/wandb-metadata.json

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+{
+  "os":  "Linux-6.6.56+-x86_64-with-glibc2.35",
+  "python":  "CPython 3.10.12",
+  "startedAt":  "2025-06-21T15:48:46.238280Z",
+  "args":  [
+    "--pretrained_model_name_or_path=/kaggle/sd-models/Illustrious-XL-v0.1.safetensors",
+    "--vae=/kaggle/sd-models/sdxl_fp16_fix_vae.safetensors",
+    "--train_data_dir=/kaggle/dataset/ibara_riato_2",
+    "--output_name=ibara_riato_2",
+    "--output_dir=/kaggle/working/model/ibara_riato_2",
+    "--log_tracker_name=Illustrious-XL-v0.1_LoRA",
+    "--wandb_run_name=ibara_riato_2",
+    "--prior_loss_weight=1",
+    "--resolution=1024,1024",
+    "--enable_bucket",
+    "--min_bucket_reso=256",
+    "--max_bucket_reso=4096",
+    "--bucket_reso_steps=64",
+    "--save_model_as=safetensors",
+    "--save_precision=fp16",
+    "--save_every_n_epochs=1",
+    "--max_train_epochs=40",
+    "--train_batch_size=6",
+    "--gradient_checkpointing",
+    "--network_train_unet_only",
+    "--learning_rate=0.0001",
+    "--unet_lr=0.0001",
+    "--text_encoder_lr=0.00001",
+    "--lr_scheduler=constant_with_warmup",
+    "--lr_warmup_steps=100",
+    "--optimizer_type=Lion8bit",
+    "--network_module=lycoris.kohya",
+    "--network_dim=100000",
+    "--network_alpha=100000",
+    "--network_args",
+    "conv_dim=100000",
+    "conv_alpha=100000",
+    "algo=lokr",
+    "dropout=0",
+    "factor=8",
+    "train_norm=True",
+    "preset=full",
+    "--optimizer_args",
+    "weight_decay=0.05",
+    "betas=0.9,0.95",
+    "--log_with=all",
+    "--logging_dir=/kaggle/working/model/logs",
+    "--caption_extension=.txt",
+    "--shuffle_caption",
+    "--keep_tokens=0",
+    "--max_token_length=225",
+    "--seed=1337",
+    "--mixed_precision=fp16",
+    "--xformers",
+    "--cache_latents",
+    "--cache_latents_to_disk",
+    "--persistent_data_loader_workers",
+    "--full_fp16"
+  ],
+  "program":  "/kaggle/sd-scripts/sdxl_train_network.py",
+  "codePath":  "sdxl_train_network.py",
+  "git":  {
+    "remote":  "https://github.com/kohya-ss/sd-scripts",
+    "commit":  "cadcd3169bafb3da64cbe9579e9a3fe5f4e292cf"
+  },
+  "email":  "2572264181@qq.com",
+  "root":  "/kaggle/working/model/logs/20250621154557",
+  "host":  "bc02d9b4b17a",
+  "executable":  "/usr/bin/python3",
+  "codePathLocal":  "sdxl_train_network.py",
+  "cpu_count":  2,
+  "cpu_count_logical":  4,
+  "gpu":  "Tesla T4",
+  "gpu_count":  2,
+  "disk":  {
+    "/":  {
+      "total":  "8656922775552",
+      "used":  "6847075254272"
+    }
+  },
+  "memory":  {
+    "total":  "33662332928"
+  },
+  "cpu":  {
+    "count":  2,
+    "countLogical":  4
+  },
+  "gpu_nvidia":  [
+    {
+      "name":  "Tesla T4",
+      "memoryTotal":  "16106127360",
+      "cudaCores":  2560,
+      "architecture":  "Turing"
+    },
+    {
+      "name":  "Tesla T4",
+      "memoryTotal":  "16106127360",
+      "cudaCores":  2560,
+      "architecture":  "Turing"
+    }
+  ],
+  "cudaVersion":  "12.6"
+}