[Dataset 0]
loading image sizes.
100%|██████████████████████████████████████████████████████████████████████████████| 328/328 [00:00<00:00, 2074.11it/s]
make buckets
min_bucket_reso and max_bucket_reso are ignored if bucket_no_upscale is set, because bucket reso is defined by image size automatically / bucket_no_upscaleが指定された場合は、bucketの解像度は画像サイズから自動計算されるため、min_bucket_resoとmax_bucket_resoは無視されます
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, 512), count: 640
mean ar error (without repeats): 0.0
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>
loading text encoder: <All keys matched successfully>
Replace CrossAttention.forward to use xformers
[Dataset 0]
caching latents.
  0%|                                                                                          | 0/328 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "C:\kohya_ss\train_db.py", line 437, in <module>
    train(args)
  File "C:\kohya_ss\train_db.py", line 120, in train
    train_dataset_group.cache_latents(vae, args.vae_batch_size, args.cache_latents_to_disk, accelerator.is_main_process)
  File "C:\kohya_ss\library\train_util.py", line 1391, in cache_latents
    dataset.cache_latents(vae, vae_batch_size, cache_to_disk, is_main_process)
  File "C:\kohya_ss\library\train_util.py", line 805, in cache_latents
    latents = vae.encode(img_tensors).latent_dist.sample().to("cpu")
  File "C:\kohya_ss\venv\lib\site-packages\diffusers\models\vae.py", line 566, in encode
    h = self.encoder(x)
  File "C:\kohya_ss\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\kohya_ss\venv\lib\site-packages\diffusers\models\vae.py", line 130, in forward
    sample = self.conv_in(sample)
  File "C:\kohya_ss\venv\lib\site-packages\torch\nn\modules\module.py", line 1130, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\kohya_ss\venv\lib\site-packages\torch\nn\modules\conv.py", line 457, in forward
    return self._conv_forward(input, self.weight, self.bias)
  File "C:\kohya_ss\venv\lib\site-packages\torch\nn\modules\conv.py", line 453, in _conv_forward
    return F.conv2d(input, weight, bias, self.stride,
RuntimeError: "slow_conv2d_cpu" not implemented for 'Half'
Traceback (most recent call last):
  File "C:\Users\Kashyap\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 196, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "C:\Users\Kashyap\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code
    exec(code, run_globals)
  File "C:\kohya_ss\venv\Scripts\accelerate.exe\__main__.py", line 7, in <module>
  File "C:\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
    args.func(args)
  File "C:\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
    simple_launcher(args)
  File "C:\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['C:\\kohya_ss\\venv\\Scripts\\python.exe', 'train_db.py', '--enable_bucket', '--pretrained_model_name_or_path=C:/SD/stable-diffusion-webui/models/Stable-diffusion/realisticVisionV20_v20.safetensors', '--train_data_dir=C:/SD/training/Kohya video/img', '--reg_data_dir=C:/SD/training/Kohya video/reg', '--resolution=512,512', '--output_dir=C:/SD/training/Kohya video/model', '--logging_dir=C:/SD/training/Kohya video/log', '--save_model_as=safetensors', '--output_name=test1', '--max_data_loader_n_workers=0', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=192', '--train_batch_size=1', '--max_train_steps=1920', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--cache_latents', '--optimizer_type=AdamW8bit', '--max_data_loader_n_workers=0', '--bucket_reso_steps=64', '--xformers', '--bucket_no_upscale']' returned non-zero exit status 1.