TypeError: int() argument must be a string, a bytes-like object or a number, not 'JpegImageFile'

[JSarvise]

2023-01-27 11:21:12.781917: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2023-01-27 11:21:14.316315: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia 2023-01-27 11:21:14.317525: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia 2023-01-27 11:21:14.317550: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. 2023-01-27 11:21:18.852044: E tensorflow/stream_executor/cuda/cuda_blas.cc:2981] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2023-01-27 11:21:19.629825: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia 2023-01-27 11:21:19.629943: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /usr/lib64-nvidia 2023-01-27 11:21:19.629963: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly. prepare tokenizer update token length: 225 Use DreamBooth method. prepare train images. found directory 2_nenechina contains 92 image files found directory 2_nenerandom contains 154 image files found directory 2_nenedress contains 176 image files ignore directory without repeats / 繰り返し回数のないディレクトリを無視します: /content/drive/MyDrive/sd/dataset/sincos/.ipynb_checkpoints found directory 2_neneblazer contains 78 image files found directory 1_neneswimsuit contains 10 image files found directory 1_nynene contains 11 image files 1021 train images with repeating. prepare reg images. 0 reg images. no regularization images / 正則化画像が見つかりませんでした loading image sizes. 100% 521/521 [00:00<00:00, 782.90it/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 (512, 1088), count: 19 bucket 1: resolution (512, 1152), count: 14 bucket 2: resolution (576, 960), count: 111 bucket 3: resolution (576, 1024), count: 48 bucket 4: resolution (640, 896), count: 619 bucket 5: resolution (704, 832), count: 81 bucket 6: resolution (768, 768), count: 31 bucket 7: resolution (832, 704), count: 18 bucket 8: resolution (896, 640), count: 42 bucket 9: resolution (960, 576), count: 16 bucket 10: resolution (1024, 576), count: 18 bucket 11: resolution (1088, 512), count: 4 bucket 12: resolution (1152, 512), count: 0 mean ar error (without repeats): 0.02169680238469413 prepare accelerator Using accelerator 0.15.0 or above. load StableDiffusion checkpoint loading u-net: <All keys matched successfully> loading vae: <All keys matched successfully> Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.7.mlp.fc1.weight', 'vision_model.encoder.layers.12.self_attn.k_proj.bias', 'vision_model.encoder.layers.17.self_attn.v_proj.weight', 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• This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
• This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). loading text encoder: <All keys matched successfully> Replace CrossAttention.forward to use xformers caching latents. 77% 400/521 [02:25<00:44, 2.74it/s] Traceback (most recent call last): File "train_network.py", line 465, in train(args) File "train_network.py", line 94, in train train_dataset.cache_latents(vae) File "/content/sd-scripts/library/train_util.py", line 305, in cache_latents image = self.load_image(info.absolute_path) File "/content/sd-scripts/library/train_util.py", line 270, in load_image img = np.array(image, np.uint8) TypeError: int() argument must be a string, a bytes-like object or a number, not 'JpegImageFile' Traceback (most recent call last): File "/usr/local/bin/accelerate", line 8, in sys.exit(main()) File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/accelerate_cli.py", line 45, in main args.func(args) File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 1104, in launch_command simple_launcher(args) File "/usr/local/lib/python3.8/dist-packages/accelerate/commands/launch.py", line 567, in simple_launcher raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_network.py', '--network_module=networks.lora', '--pretrained_model_name_or_path=/content/model/nai.ckpt', '--train_data_dir=/content/drive/MyDrive/sd/dataset/sincos', '--reg_data_dir=/content/drive/MyDrive/sd/dataset/sincos_reg', '--output_dir=/content/drive/MyDrive/sd/stable-diffusion-webui/models/lora/', '--caption_extension=.txt', '--prior_loss_weight=1', '--resolution=768', '--enable_bucket', '--min_bucket_reso=512', '--max_bucket_reso=1152', '--train_batch_size=3', '--learning_rate=1e-4', '--unet_lr=1.5e-4', '--text_encoder_lr=5e-5', '--mixed_precision=fp16', '--save_precision=fp16', '--use_8bit_adam', '--xformers', '--max_train_epochs=8', '--save_every_n_epochs=1', '--save_model_as=safetensors', '--clip_skip=2', '--seed=23', '--network_dim=128', '--network_alpha=128', '--max_token_length=225', '--cache_latents', '--lr_scheduler=cosine_with_restarts', '--output_name=momosuzunene', '--shuffle_caption']' returned non-zero exit status 1.

I've succesfully trained 2 times but i didnt try to do multiple concepts do i need to do something else idk what seems to be the issue

[kohya-ss]

It appears that one or some of the image files is corrupted. Unfortunately the file name is not in the log, however, if you try each folder one by one, you will know which folder has the image.