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'`

`--num_cpu_threads_per_process` was set to `1` to improve out-of-box performance

To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.

Traceback (most recent call last):

  File "train_dreambooth.py", line 791, in <module>

    main(args)

TypeError: main() takes 0 positional arguments but 1 was given

Traceback (most recent call last):

  File "/usr/local/bin/accelerate", line 8, in <module>

    sys.exit(main())

  File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main

    args.func(args)

  File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 837, in launch_command

    simple_launcher(args)

  File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher

    raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)

subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=kjy1013/test2', '--pretrained_vae_name_or_path=stabilityai/sd-vae-ft-mse', '--output_dir=/content/drive/MyDrive/stable_diffusion_weights/snnm', '--with_prior_preservation', '--prior_loss_weight=1.0', '--seed=1337', '--resolution=512', '--train_batch_size=1', '--mixed_precision=fp16', '--use_8bit_adam', '--gradient_accumulation_steps=1', '--learning_rate=5e-6', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--num_class_images=200', '--sample_batch_size=4', '--max_train_steps=1600', '--save_interval=10000', '--save_sample_prompt=photo of a snnm girl', '--concepts_list=concepts_list.json']' returned non-zero exit status 1.

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