/content/kohya_ss
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`
	`--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`.
/lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.32' not found (required by /usr/local/lib/python3.10/dist-packages/xformers/_C.so)
WARNING:root:WARNING: /lib/x86_64-linux-gnu/libc.so.6: version `GLIBC_2.32' not found (required by /usr/local/lib/python3.10/dist-packages/xformers/_C.so)
Need to compile C++ extensions to get sparse attention suport. Please run python setup.py build develop
usage: train_network.py
       [-h]
       [--v2]
       [--v_parameterization]
       [--pretrained_model_name_or_path PRETRAINED_MODEL_NAME_OR_PATH]
       [--train_data_dir TRAIN_DATA_DIR]
       [--shuffle_caption]
       [--caption_extension CAPTION_EXTENSION]
       [--caption_extention CAPTION_EXTENTION]
       [--keep_tokens KEEP_TOKENS]
       [--color_aug]
       [--flip_aug]
       [--face_crop_aug_range FACE_CROP_AUG_RANGE]
       [--random_crop]
       [--debug_dataset]
       [--resolution RESOLUTION]
       [--cache_latents]
       [--enable_bucket]
       [--min_bucket_reso MIN_BUCKET_RESO]
       [--max_bucket_reso MAX_BUCKET_RESO]
       [--reg_data_dir REG_DATA_DIR]
       [--in_json IN_JSON]
       [--dataset_repeats DATASET_REPEATS]
       [--output_dir OUTPUT_DIR]
       [--output_name OUTPUT_NAME]
       [--save_precision {None,float,fp16,bf16}]
       [--save_every_n_epochs SAVE_EVERY_N_EPOCHS]
       [--save_n_epoch_ratio SAVE_N_EPOCH_RATIO]
       [--save_last_n_epochs SAVE_LAST_N_EPOCHS]
       [--save_last_n_epochs_state SAVE_LAST_N_EPOCHS_STATE]
       [--save_state]
       [--resume RESUME]
       [--train_batch_size TRAIN_BATCH_SIZE]
       [--max_token_length {None,150,225}]
       [--use_8bit_adam]
       [--mem_eff_attn]
       [--xformers]
       [--vae VAE]
       [--learning_rate LEARNING_RATE]
       [--max_train_steps MAX_TRAIN_STEPS]
       [--max_train_epochs MAX_TRAIN_EPOCHS]
       [--max_data_loader_n_workers MAX_DATA_LOADER_N_WORKERS]
       [--seed SEED]
       [--gradient_checkpointing]
       [--gradient_accumulation_steps GRADIENT_ACCUMULATION_STEPS]
       [--mixed_precision {no,fp16,bf16}]
       [--full_fp16]
       [--clip_skip CLIP_SKIP]
       [--logging_dir LOGGING_DIR]
       [--log_prefix LOG_PREFIX]
       [--lr_scheduler LR_SCHEDULER]
       [--lr_warmup_steps LR_WARMUP_STEPS]
       [--prior_loss_weight PRIOR_LOSS_WEIGHT]
       [--no_metadata]
       [--save_model_as {None,ckpt,pt,safetensors}]
       [--unet_lr UNET_LR]
       [--text_encoder_lr TEXT_ENCODER_LR]
       [--lr_scheduler_num_cycles LR_SCHEDULER_NUM_CYCLES]
       [--lr_scheduler_power LR_SCHEDULER_POWER]
       [--network_weights NETWORK_WEIGHTS]
       [--network_module NETWORK_MODULE]
       [--network_dim NETWORK_DIM]
       [--network_alpha NETWORK_ALPHA]
       [--network_args [NETWORK_ARGS ...]]
       [--network_train_unet_only]
       [--network_train_text_encoder_only]
       [--training_comment TRAINING_COMMENT]
train_network.py: error: unrecognized arguments: --noise_offset=0.1
Traceback (most recent call last):
  File "/usr/local/bin/accelerate", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.py", line 45, in main
    args.func(args)
  File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py", line 1104, in launch_command
    simple_launcher(args)
  File "/usr/local/lib/python3.10/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', '--cache_latents', '--enable_bucket', '--use_8bit_adam', '--mem_eff_attn', '--pretrained_model_name_or_path=/content/drive/MyDrive/models/final-pruned.ckpt', '--train_data_dir=/content/drive/MyDrive/kohya_ss/datasets/testv2', '--resolution=512,512', '--output_dir=/content/drive/MyDrive/kohya_ss/output/testv2', '--train_batch_size=3', '--lr_scheduler=cosine', '--lr_warmup_steps=20', '--max_train_steps=2300', '--use_8bit_adam', '--mixed_precision=fp16', '--save_every_n_epochs=2', '--seed=4242', '--save_precision=fp16', '--keep_tokens=1', '--logging_dir=/content/drive/MyDrive/kohya_ss/log', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=1.5e-5', '--unet_lr=1.5e-4', '--noise_offset=0.1', '--network_dim=128', '--network_alpha=128', '--clip_skip=2', '--caption_extension=.txt', '--output_name=testv2']' returned non-zero exit status 2.