Loading settings from /content/LoRA/config/config_file.toml... /content/LoRA/config/config_file prepare tokenizer update token length: 225 Load dataset config from /content/LoRA/config/dataset_config.toml prepare images. found directory /content/drive/MyDrive/stuff/miyo/ contains 592 image files not directory: ignore subset with image_dir='': no images found / 画像が見つからないためサブセットを無視します 592 train images with repeating. 0 reg images. no regularization images / 正則化画像が見つかりませんでした [Dataset 0] batch_size: 5 resolution: (512, 512) enable_bucket: True min_bucket_reso: 256 max_bucket_reso: 1024 bucket_reso_steps: 64 bucket_no_upscale: False [Subset 0 of Dataset 0] image_dir: "/content/drive/MyDrive/stuff/miyo/" image_count: 592 num_repeats: 1 shuffle_caption: True keep_tokens: 0 caption_dropout_rate: 0 caption_dropout_every_n_epoches: 0 caption_tag_dropout_rate: 0 color_aug: False flip_aug: False face_crop_aug_range: None random_crop: False token_warmup_min: 1, token_warmup_step: 0, is_reg: False class_tokens: style caption_extension: .txt [Dataset 0] loading image sizes. 100% 592/592 [00:00<00:00, 855.77it/s] make buckets number of images (including repeats) / 各bucketの画像枚数(繰り返し回数を含む) bucket 0: resolution (320, 704), count: 1 bucket 1: resolution (384, 640), count: 34 bucket 2: resolution (448, 576), count: 384 bucket 3: resolution (512, 512), count: 83 bucket 4: resolution (576, 448), count: 61 bucket 5: resolution (640, 384), count: 23 bucket 6: resolution (704, 320), count: 4 bucket 7: resolution (768, 320), count: 2 mean ar error (without repeats): 0.0581461864058952 prepare accelerator Using accelerator 0.15.0 or above. loading model for process 0/1 load StableDiffusion checkpoint loading u-net: loading vae: ╭───────────────────── 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', '--dataset_config=/content/LoRA/config/dataset_config.toml', '--config_file=/content/LoRA/config/config_file.toml']' died with .