Z:\> accelerate launch train_lora_dreambooth.py --pretrained_model_name_or_path="stabilityai/stable-diffusion-2-1-base" --instance_data_dir="data_example" --output_dir="output_example" --instance_prompt="sks patricia"  --resolution=512   --train_batch_size=1 --gradient_accumulation_steps=1   --learning_rate=1e-4 --lr_scheduler="constant" --lr_warmup_steps=0 --max_train_steps=30000
The following values were not passed to `accelerate launch` and had defaults used instead:
        `--num_processes` was set to a value of `1`
        `--num_machines` was set to a value of `1`
        `--mixed_precision` was set to a value of `'no'`
        `--dynamo_backend` was set to a value of `'no'`
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\accelerate\accelerator.py:321: UserWarning: `log_with=tensorboard` was passed but no supported trackers are currently installed.
  warnings.warn(f"`log_with={log_with}` was passed but no supported trackers are currently installed.")
Before training: Unet First Layer lora up tensor([[0., 0., 0., 0.],
        [0., 0., 0., 0.],
        [0., 0., 0., 0.],
        ...,
        [0., 0., 0., 0.],
        [0., 0., 0., 0.],
        [0., 0., 0., 0.]])
Before training: Unet First Layer lora down tensor([[ 0.0193, -0.0875, -0.0645,  ...,  0.0632,  0.0634, -0.1279],
        [ 0.0021, -0.0696, -0.0746,  ..., -0.0252, -0.0373, -0.0152],
        [-0.0187, -0.0599,  0.0579,  ..., -0.0196,  0.1353, -0.0437],
        [ 0.0956, -0.0547,  0.0707,  ..., -0.0133, -0.0665,  0.0195]])
c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\diffusers\configuration_utils.py:195: FutureWarning: It is deprecated to pass a pretrained model name or path to `from_config`.If you were trying to load a scheduler, please use <class 'diffusers.schedulers.scheduling_ddpm.DDPMScheduler'>.from_pretrained(...) instead. Otherwise, please make sure to pass a configuration dictionary instead. This functionality will be removed in v1.0.0.
  deprecate("config-passed-as-path", "1.0.0", deprecation_message, standard_warn=False)
***** Running training *****
  Num examples = 8
  Num batches each epoch = 8
  Num Epochs = 3750
  Instantaneous batch size per device = 1
  Total train batch size (w. parallel, distributed & accumulation) = 1
  Gradient Accumulation steps = 1
  Total optimization steps = 30000
Steps:   0%|                                                                                                                                                                              | 0/30000 [00:00<?, ?it/s]Traceback (most recent call last):
  File "D:\2.35\dev\3.10\lora2\train_lora_dreambooth.py", line 965, in <module>
    main(args)
  File "D:\2.35\dev\3.10\lora2\train_lora_dreambooth.py", line 791, in main
    for step, batch in enumerate(train_dataloader):
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\accelerate\data_loader.py", line 372, in __iter__
    dataloader_iter = super().__iter__()
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\torch\utils\data\dataloader.py", line 435, in __iter__
    return self._get_iterator()
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\torch\utils\data\dataloader.py", line 381, in _get_iterator
    return _MultiProcessingDataLoaderIter(self)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\torch\utils\data\dataloader.py", line 1034, in __init__
Traceback (most recent call last):
  File "<string>", line 1, in <module>
    w.start()
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\process.py", line 121, in start
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
    self._popen = self._Popen(self)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\spawn.py", line 126, in _main
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\context.py", line 224, in _Popen
    self = reduction.pickle.load(from_parent)
EOFError: Ran out of input
    return _default_context.get_context().Process._Popen(process_obj)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\context.py", line 327, in _Popen
    return Popen(process_obj)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\popen_spawn_win32.py", line 93, in __init__
    reduction.dump(process_obj, to_child)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\multiprocessing\reduction.py", line 60, in dump
    ForkingPickler(file, protocol).dump(obj)
AttributeError: Can't pickle local object 'DreamBoothDataset.__init__.<locals>.<lambda>'
Steps:   0%|                                                                                                                                                                              | 0/30000 [00:03<?, ?it/s]
Traceback (most recent call last):
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "C:\Users\Jensf\AppData\Local\Programs\Python\Python39\Scripts\accelerate.exe\__main__.py", line 7, in <module>
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main
    args.func(args)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command
    simple_launcher(args)
  File "c:\users\jensf\appdata\local\programs\python\python39\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher
    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['c:\\users\\jensf\\appdata\\local\\programs\\python\\python39\\python.exe', 'train_lora_dreambooth.py', '--pretrained_model_name_or_path=stabilityai/stable-diffusion-2-1-base', '--instance_data_dir=data_example', '--output_dir=output_example', '--instance_prompt=sks patricia', '--resolution=512', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--learning_rate=1e-4', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--max_train_steps=30000']' returned non-zero exit status 1.