foxya27
commented
1 year ago I have this error too...
Loading settings from /content/LoRA/config/config_file.toml...
/content/LoRA/config/config_file
prepare tokenizer
update token length: 225
Train with captions.
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /content/kohya-trainer/train_network.py:752 in
Loading settings from /content/LoRA/config/config_file.toml... /content/LoRA/config/config_file prepare tokenizer update token length: 225 Train with captions. ╭───────────────────── Traceback (most recent call last) ──────────────────────╮ │ /content/kohya-trainer/train_network.py:752 in │
│ │
│ 749 │ args = parser.parse_args() │
│ 750 │ args = train_util.read_config_from_file(args, parser) │
│ 751 │ │
│ ❱ 752 │ train(args) │
│ 753 │
│ │
│ /content/kohya-trainer/train_network.py:117 in train │
│ │
│ 114 │ │ │ } │
│ 115 │ │
│ 116 │ blueprint = blueprint_generator.generate(user_config, args, tokeni │
│ ❱ 117 │ train_dataset_group = config_util.generate_dataset_group_by_bluepr │
│ 118 │ │
│ 119 │ current_epoch = Value("i", 0) │
│ 120 │ current_step = Value("i", 0) │
│ │
│ /content/kohya-trainer/library/config_util.py:375 in │
│ generate_dataset_group_by_blueprint │
│ │
│ 372 │ dataset_klass = FineTuningDataset │
│ 373 │ │
│ 374 │ subsets = [subset_klass(asdict(subset_blueprint.params)) for sub │
│ ❱ 375 │ dataset = dataset_klass(subsets=subsets, asdict(dataset_blueprin │
│ 376 │ datasets.append(dataset) │
│ 377 │
│ 378 # print info │
│ │
│ /content/kohya-trainer/library/train_util.py:1157 in init │
│ │
│ 1154 │ │ │ │ with open(subset.metadata_file, "rt", encoding="utf-8 │
│ 1155 │ │ │ │ │ metadata = json.load(f) │
│ 1156 │ │ │ else: │
│ ❱ 1157 │ │ │ │ raise ValueError(f"no metadata / メタデータファイルが │
│ 1158 │ │ │ │
│ 1159 │ │ │ if len(metadata) < 1: │
│ 1160 │ │ │ │ print(f"ignore subset with '{subset.metadata_file}': │
╰──────────────────────────────────────────────────────────────────────────────╯
ValueError: no metadata / メタデータファイルがありません:
/content/LoRA/meta_lat.json
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /usr/local/bin/accelerate:8 in │
│ │
│ 5 from accelerate.commands.accelerate_cli import main │
│ 6 if name == 'main': │
│ 7 │ sys.argv[0] = re.sub(r'(-script.pyw|.exe)?$', '', sys.argv[0]) │
│ ❱ 8 │ sys.exit(main()) │
│ 9 │
│ │
│ /usr/local/lib/python3.9/dist-packages/accelerate/commands/accelerate_cli.py │
│ :45 in main │
│ │
│ 42 │ │ exit(1) │
│ 43 │ │
│ 44 │ # Run │
│ ❱ 45 │ args.func(args) │
│ 46 │
│ 47 │
│ 48 if name == "main": │
│ │
│ /usr/local/lib/python3.9/dist-packages/accelerate/commands/launch.py:1104 in │
│ launch_command │
│ │
│ 1101 │ elif defaults is not None and defaults.compute_environment == Com │
│ 1102 │ │ sagemaker_launcher(defaults, args) │
│ 1103 │ else: │
│ ❱ 1104 │ │ simple_launcher(args) │
│ 1105 │
│ 1106 │
│ 1107 def main(): │
│ │
│ /usr/local/lib/python3.9/dist-packages/accelerate/commands/launch.py:567 in │
│ simple_launcher │
│ │
│ 564 │ process = subprocess.Popen(cmd, env=current_env) │
│ 565 │ process.wait() │
│ 566 │ if process.returncode != 0: │
│ ❱ 567 │ │ raise subprocess.CalledProcessError(returncode=process.return │
│ 568 │
│ 569 │
│ 570 def multi_gpu_launcher(args): │
╰──────────────────────────────────────────────────────────────────────────────╯
CalledProcessError: Command '['/usr/bin/python3', 'train_network.py',
'--sample_prompts=/content/LoRA/config/sample_prompt.txt',
'--config_file=/content/LoRA/config/config_file.toml']' returned non-zero exit
status 1.