Songze:The final step of LORA training error,urgently ask for help and guidance!!!

[lisongze8]

CUDA and memory problems originally occurred in my LORA training execution program. After two days of research, train_util.py was replaced and Adamoptimizer was changed to Lion, which seems to have fixed some errors. However, the following errors still appear in the end. May I ask the expert, what is the cause of this problem? How to solve it? Thank you very much

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To create a public link, set share=True in launch(). Folder 100_test: 2000 steps max_train_steps = 2000 stop_text_encoder_training = 0 lr_warmup_steps = 0 accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --pretrained_model_name_or_path="C:/Users/Lenovo/automatic1111-stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt" --train_data_dir="C:/Users/Lenovo/Documents/Lora Training Data/Test/image" --resolution=512,512 --output_dir="C:/Users/Lenovo/Documents/Lora Training Data/Test/model" --logging_dir="C:/Users/Lenovo/Documents/Lora Training Data/Test/log" --network_alpha="128" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=0.0001 --network_dim=128 --output_name="Daisy" --lr_scheduler_num_cycles="1" --learning_rate="0.0001" --lr_scheduler="constant" --train_batch_size="1" --max_train_steps="2000" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --caption_extension=".txt" --cache_latents --optimizer_type="Lion" --max_data_loader_n_workers="1" --clip_skip=2 --bucket_reso_steps=64 --mem_eff_attn --gradient_checkpointing --xformers --bucket_no_upscale Traceback (most recent call last): File "C:\Users\Lenovo\Documents\kohya\kohya_ss\train_network.py", line 18, in import library.train_util as train_util File "C:\Users\Lenovo\Documents\kohya\kohya_ss\library\train_util.py", line 73

                                        ^

SyntaxError: invalid character '·' (U+00B7) Traceback (most recent call last): File "C:\Users\Lenovo\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\Lenovo\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "C:\Users\Lenovo\Documents\kohya\kohya_ss\venv\Scripts\accelerate.exe__main__.py", line 7, in File "C:\Users\Lenovo\Documents\kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main args.func(args) File "C:\Users\Lenovo\Documents\kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command simple_launcher(args) File "C:\Users\Lenovo\Documents\kohya\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:\Users\Lenovo\Documents\kohya\kohya_ss\venv\Scripts\python.exe', 'train_network.py', '--pretrained_model_name_or_path=C:/Users/Lenovo/automatic1111-stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned-emaonly.ckpt', '--train_data_dir=C:/Users/Lenovo/Documents/Lora Training Data/Test/image', '--resolution=512,512', '--output_dir=C:/Users/Lenovo/Documents/Lora Training Data/Test/model', '--logging_dir=C:/Users/Lenovo/Documents/Lora Training Data/Test/log', '--network_alpha=128', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=128', '--output_name=Daisy', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=constant', '--train_batch_size=1', '--max_train_steps=2000', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--caption_extension=.txt', '--cache_latents', '--optimizer_type=Lion', '--max_data_loader_n_workers=1', '--clip_skip=2', '--bucket_reso_steps=64', '--mem_eff_attn', '--gradient_checkpointing', '--xformers', '--bucket_no_upscale']' returned non-zero exit status 1.

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