load Diffusers pretrained models: /kaggle/input/testretrain, variant=fp16
try to load fp32 model
model is not found as a file or in Hugging Face, perhaps file name is wrong? / 指定したモデル名のファイル、またはHugging Faceのモデルが見つかりません。ファイル名が誤っているかもしれません: /kaggle/input/testretrain
Traceback (most recent call last):
  File "/kaggle/working/kohya_ss/library/sdxl_train_util.py", line 84, in _load_target_model
    pipe = StableDiffusionXLPipeline.from_pretrained(
  File "/opt/conda/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 960, in from_pretrained
    config_dict = cls.load_config(cached_folder)
  File "/opt/conda/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 364, in load_config
    raise EnvironmentError(
OSError: Error no file named model_index.json found in directory /kaggle/input/testretrain.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/kaggle/working/kohya_ss/./sdxl_train.py", line 775, in <module>
    train(args)
  File "/kaggle/working/kohya_ss/./sdxl_train.py", line 209, in train
    ) = sdxl_train_util.load_target_model(args, accelerator, "sdxl", weight_dtype)
  File "/kaggle/working/kohya_ss/library/sdxl_train_util.py", line 34, in load_target_model
    ) = _load_target_model(
  File "/kaggle/working/kohya_ss/library/sdxl_train_util.py", line 97, in _load_target_model
    raise ex
  File "/kaggle/working/kohya_ss/library/sdxl_train_util.py", line 90, in _load_target_model
    pipe = StableDiffusionXLPipeline.from_pretrained(name_or_path, variant=None, tokenizer=None)
  File "/opt/conda/lib/python3.10/site-packages/diffusers/pipelines/pipeline_utils.py", line 960, in from_pretrained
    config_dict = cls.load_config(cached_folder)
  File "/opt/conda/lib/python3.10/site-packages/diffusers/configuration_utils.py", line 364, in load_config
    raise EnvironmentError(
OSError: Error no file named model_index.json found in directory /kaggle/input/testretrain.
Traceback (most recent call last):
  File "/opt/conda/bin/accelerate", line 8, in <module>
    sys.exit(main())
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/accelerate_cli.py", line 47, in main
    args.func(args)
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 986, in launch_command
    simple_launcher(args)
  File "/opt/conda/lib/python3.10/site-packages/accelerate/commands/launch.py", line 628, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/opt/conda/bin/python', './sdxl_train.py', '--pretrained_model_name_or_path=/kaggle/input/testretrain', '--train_data_dir=/kaggle/working/results/log/img', '--reg_data_dir=/kaggle/working/results/log/reg', '--resolution=1024,1024', '--output_dir=/kaggle/working/results/log/model', '--logging_dir=/kaggle/working/results/log/log', '--save_model_as=safetensors', '--vae=stabilityai/sdxl-vae', '--output_name=test', '--lr_scheduler_num_cycles=1', '--max_data_loader_n_workers=0', '--learning_rate_te1=3e-06', '--learning_rate_te2=0.0', '--learning_rate=1e-05', '--lr_scheduler=constant', '--train_batch_size=1', '--max_train_steps=4960', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--cache_latents', '--cache_latents_to_disk', '--optimizer_type=Adafactor', '--optimizer_args', 'scale_parameter=False', 'relative_step=False', 'warmup_init=False', 'weight_decay=0.01', '--max_data_loader_n_workers=0', '--bucket_reso_steps=64', '--save_every_n_steps=1300', '--mem_eff_attn', '--gradient_checkpointing', '--full_fp16', '--xformers', '--bucket_no_upscale', '--noise_offset=0.0', '--max_grad_norm=0.0', '--no_half_vae', '--train_text_encoder']' returned non-zero exit status 1.