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2025-02-13 08:31:22 INFO prepare tokenizers sdxl_train_util.py:138
D:\sd-scripts\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning: clean_up_tokenization_spaces was not set. It will be set to True by default. This behavior will be depracted in transformers v4.45, and will be then set to False by default. For more details check this issue: huggingface/transformers#31884
warnings.warn(
2025-02-13 08:31:24 INFO Using DreamBooth method. train_network.py:172
INFO prepare images. train_util.py:1686
INFO found directory D:\kohya_lora_param_gui-1.14.1.0\sozai\1_sozai contains train_util.py:1633
25 image files
INFO 25 train images with repeating. train_util.py:1727
INFO 0 reg images. train_util.py:1730
WARNING no regularization images / 正則化画像が見つかりませんでした train_util.py:1735
INFO [Dataset 0] config_util.py:572
batch_size: 2
resolution: (1024, 1024)
enable_bucket: True
network_multiplier: 1.0
min_bucket_reso: 256
max_bucket_reso: 1024
bucket_reso_steps: 64
bucket_no_upscale: False
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [00:00<00:00, 27.59it/s]
2025-02-13 08:31:25 INFO make buckets train_util.py:907
INFO number of images (including repeats) / train_util.py:953
各bucketの画像枚数(繰り返し回数を含む)
INFO bucket 0: resolution (704, 1024), count: 4 train_util.py:958
INFO bucket 1: resolution (768, 1024), count: 2 train_util.py:958
INFO bucket 2: resolution (1024, 512), count: 3 train_util.py:958
INFO bucket 3: resolution (1024, 576), count: 7 train_util.py:958
INFO bucket 4: resolution (1024, 704), count: 5 train_util.py:958
INFO bucket 5: resolution (1024, 768), count: 3 train_util.py:958
INFO bucket 6: resolution (1024, 832), count: 1 train_util.py:958
INFO mean ar error (without repeats): 0.027750313651626845 train_util.py:963
INFO preparing accelerator train_network.py:225
accelerator device: cpu
INFO loading model for process 0/1 sdxl_train_util.py:33
INFO load StableDiffusion checkpoint: sdxl_train_util.py:74
D:\kohya_lora_param_gui-1.14.1.0\model\anynoobaiForLora_11Epsilon.saf
etensors
2025-02-13 08:31:33 INFO building U-Net sdxl_model_util.py:198
2025-02-13 08:31:34 INFO loading U-Net from checkpoint sdxl_model_util.py:202
2025-02-13 08:32:12 INFO U-Net: sdxl_model_util.py:208
INFO building text encoders sdxl_model_util.py:211
2025-02-13 08:32:13 INFO loading text encoders from checkpoint sdxl_model_util.py:264
2025-02-13 08:32:18 INFO text encoder 1: sdxl_model_util.py:278
2025-02-13 08:32:39 INFO text encoder 2: sdxl_model_util.py:282
INFO building VAE sdxl_model_util.py:285
INFO loading VAE from checkpoint sdxl_model_util.py:290
2025-02-13 08:32:41 INFO VAE: sdxl_model_util.py:293
2025-02-13 08:32:43 INFO Enable xformers for U-Net train_util.py:2832
Traceback (most recent call last):
File "D:\sd-scripts\library\train_util.py", line 2834, in replace_unet_modules
import xformers.ops
ModuleNotFoundError: No module named 'xformers'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\sd-scripts\sdxl_train_network.py", line 185, in
trainer.train(args)
File "D:\sd-scripts\train_network.py", line 240, in train
train_util.replace_unet_modules(unet, args.mem_eff_attn, args.xformers, args.sdpa)
File "D:\sd-scripts\library\train_util.py", line 2836, in replace_unet_modules
raise ImportError("No xformers / xformersがインストールされていないようです")
ImportError: No xformers / xformersがインストールされていないようです
Traceback (most recent call last):
File "C:\Users\bokutou\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\bokutou\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "D:\sd-scripts\venv\Scripts\accelerate.exe_main.py", line 7, in
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 46, in main
args.func(args)
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1082, in launch_command
simple_launcher(args)
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 688, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['D:\sd-scripts\venv\Scripts\python.exe', 'sdxl_train_network.py', '--pretrained_model_name_or_path', 'D:\kohya_lora_param_gui-1.14.1.0\model\anynoobaiForLora_11Epsilon.safetensors', '--train_data_dir', 'D:\kohya_lora_param_gui-1.14.1.0\sozai', '--output_dir', 'D:\kohya_lora_param_gui-1.14.1.0\output', '--network_module', 'networks.lora', '--xformers', '--persistent_data_loader_workers', '--max_data_loader_n_workers', '1', '--enable_bucket', '--save_model_as', 'safetensors', '--lr_scheduler_num_cycles', '4', '--mixed_precision', 'fp16', '--learning_rate', '0.0001', '--resolution', '1024', '--train_batch_size', '2', '--max_train_epochs', '20', '--network_dim', '32', '--network_alpha', '4', '--optimizer_type', 'AdamW', '--output_name', 'FILE_NAME_HERE', '--save_precision', 'fp16', '--lr_scheduler', 'cosine_with_restarts', '--min_bucket_reso', '256', '--max_bucket_reso', '1024', '--caption_extension', '.txt', '--loss_type', 'l2', '--huber_schedule', 'snr']' returned non-zero exit status 1.
2025-02-13 08:31:22 INFO prepare tokenizers sdxl_train_util.py:138
D:\sd-scripts\venv\lib\site-packages\transformers\tokenization_utils_base.py:1601: FutureWarning:
clean_up_tokenization_spaces
was not set. It will be set toTrue
by default. This behavior will be depracted in transformers v4.45, and will be then set toFalse
by default. For more details check this issue: huggingface/transformers#31884warnings.warn(
2025-02-13 08:31:24 INFO Using DreamBooth method. train_network.py:172
INFO prepare images. train_util.py:1686
INFO found directory D:\kohya_lora_param_gui-1.14.1.0\sozai\1_sozai contains train_util.py:1633
25 image files
INFO 25 train images with repeating. train_util.py:1727
INFO 0 reg images. train_util.py:1730
WARNING no regularization images / 正則化画像が見つかりませんでした train_util.py:1735
INFO [Dataset 0] config_util.py:572
batch_size: 2
resolution: (1024, 1024)
enable_bucket: True
network_multiplier: 1.0
min_bucket_reso: 256
max_bucket_reso: 1024
bucket_reso_steps: 64
bucket_no_upscale: False
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [00:00<00:00, 27.59it/s]
2025-02-13 08:31:25 INFO make buckets train_util.py:907
INFO number of images (including repeats) / train_util.py:953
各bucketの画像枚数(繰り返し回数を含む)
INFO bucket 0: resolution (704, 1024), count: 4 train_util.py:958
INFO bucket 1: resolution (768, 1024), count: 2 train_util.py:958
INFO bucket 2: resolution (1024, 512), count: 3 train_util.py:958
INFO bucket 3: resolution (1024, 576), count: 7 train_util.py:958
INFO bucket 4: resolution (1024, 704), count: 5 train_util.py:958
INFO bucket 5: resolution (1024, 768), count: 3 train_util.py:958
INFO bucket 6: resolution (1024, 832), count: 1 train_util.py:958
INFO mean ar error (without repeats): 0.027750313651626845 train_util.py:963
INFO preparing accelerator train_network.py:225
accelerator device: cpu
INFO loading model for process 0/1 sdxl_train_util.py:33
INFO load StableDiffusion checkpoint: sdxl_train_util.py:74
D:\kohya_lora_param_gui-1.14.1.0\model\anynoobaiForLora_11Epsilon.saf
etensors
2025-02-13 08:31:33 INFO building U-Net sdxl_model_util.py:198
2025-02-13 08:31:34 INFO loading U-Net from checkpoint sdxl_model_util.py:202
2025-02-13 08:32:12 INFO U-Net: sdxl_model_util.py:208
INFO building text encoders sdxl_model_util.py:211
2025-02-13 08:32:13 INFO loading text encoders from checkpoint sdxl_model_util.py:264
2025-02-13 08:32:18 INFO text encoder 1: sdxl_model_util.py:278
2025-02-13 08:32:39 INFO text encoder 2: sdxl_model_util.py:282
INFO building VAE sdxl_model_util.py:285
INFO loading VAE from checkpoint sdxl_model_util.py:290
2025-02-13 08:32:41 INFO VAE: sdxl_model_util.py:293
2025-02-13 08:32:43 INFO Enable xformers for U-Net train_util.py:2832
Traceback (most recent call last):
File "D:\sd-scripts\library\train_util.py", line 2834, in replace_unet_modules
import xformers.ops
ModuleNotFoundError: No module named 'xformers'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "D:\sd-scripts\sdxl_train_network.py", line 185, in
trainer.train(args)
File "D:\sd-scripts\train_network.py", line 240, in train
train_util.replace_unet_modules(unet, args.mem_eff_attn, args.xformers, args.sdpa)
File "D:\sd-scripts\library\train_util.py", line 2836, in replace_unet_modules
raise ImportError("No xformers / xformersがインストールされていないようです")
ImportError: No xformers / xformersがインストールされていないようです
Traceback (most recent call last):
File "C:\Users\bokutou\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\bokutou\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in run_code
exec(code, run_globals)
File "D:\sd-scripts\venv\Scripts\accelerate.exe_main.py", line 7, in
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 46, in main
args.func(args)
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1082, in launch_command
simple_launcher(args)
File "D:\sd-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 688, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['D:\sd-scripts\venv\Scripts\python.exe', 'sdxl_train_network.py', '--pretrained_model_name_or_path', 'D:\kohya_lora_param_gui-1.14.1.0\model\anynoobaiForLora_11Epsilon.safetensors', '--train_data_dir', 'D:\kohya_lora_param_gui-1.14.1.0\sozai', '--output_dir', 'D:\kohya_lora_param_gui-1.14.1.0\output', '--network_module', 'networks.lora', '--xformers', '--persistent_data_loader_workers', '--max_data_loader_n_workers', '1', '--enable_bucket', '--save_model_as', 'safetensors', '--lr_scheduler_num_cycles', '4', '--mixed_precision', 'fp16', '--learning_rate', '0.0001', '--resolution', '1024', '--train_batch_size', '2', '--max_train_epochs', '20', '--network_dim', '32', '--network_alpha', '4', '--optimizer_type', 'AdamW', '--output_name', 'FILE_NAME_HERE', '--save_precision', 'fp16', '--lr_scheduler', 'cosine_with_restarts', '--min_bucket_reso', '256', '--max_bucket_reso', '1024', '--caption_extension', '.txt', '--loss_type', 'l2', '--huber_schedule', 'snr']' returned non-zero exit status 1.
(venv) D:\sd-scripts>
実際Stable Diffusionでインストールする設定にしたのですがここでエラーが出てしまってLORA学習が出来ません。
問題が発生しました。どうしたらいいでしょうか?
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