无法开始训练（已确认venv是python 3.10.8）

[farcloudy]

subprocess.CalledProcessError: Command '['D:\stable-diffusion-webui\lora-scripts\venv\Scripts\python.exe', './sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=D:/stable-diffusion-webui/models/Stable-diffusion/protogenX34Photorealism_1.ckpt', '--train_data_dir=./train/wq', '--output_dir=./output', '--logging_dir=./logs', '--resolution=512,512', '--network_module=networks.lora', '--max_train_epochs=15', '--learning_rate=1e-4', '--unet_lr=1e-4', '--text_encoder_lr=1e-5', '--lr_scheduler=cosine_with_restarts', '--lr_warmup_steps=0', '--network_dim=32', '--network_alpha=32', '--output_name=starwanqian', '--train_batch_size=2', '--save_every_n_epochs=2', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1337', '--cache_latents', '--clip_skip=2', '--prior_loss_weight=1', '--max_token_length=225', '--caption_extension=.txt', '--save_model_as=safetensors', '--min_bucket_reso=256', '--max_bucket_reso=1024', '--xformers', '--shuffle_caption', '--use_8bit_adam']' returned non-zero exit status 1.

[Akegarasu]

[farcloudy]

Traceback (most recent call last): File "D:\stable-diffusion-webui\lora-scripts\sd-scripts\train_network.py", line 497, in train(args) File "D:\stable-diffusion-webui\lora-scripts\sd-scripts\train_network.py", line 56, in train tokenizer = train_util.load_tokenizer(args) File "D:\stable-diffusion-webui\lora-scripts\sd-scripts\library\train_util.py", line 1797, in load_tokenizer tokenizer = CLIPTokenizer.from_pretrained(TOKENIZER_PATH) File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 1804, in from_pretrained return cls._from_pretrained( File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\transformers\tokenization_utils_base.py", line 1959, in _from_pretrained tokenizer = cls(*init_inputs, **init_kwargs) File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\transformers\models\clip\tokenization_clip.py", line 323, in init self.encoder = json.load(vocab_handle) File "E:\anaconda3\envs\sd\lib\json__init.py", line 293, in load return loads(fp.read(), File "E:\anaconda3\envs\sd\lib\json\init.py", line 346, in loads return _default_decoder.decode(s) File "E:\anaconda3\envs\sd\lib\json\decoder.py", line 337, in decode obj, end = self.raw_decode(s, idx=_w(s, 0).end()) File "E:\anaconda3\envs\sd\lib\json\decoder.py", line 353, in raw_decode obj, end = self.scan_once(s, idx) json.decoder.JSONDecodeError: Unterminated string starting at: line 1 column 125478 (char 125477) Traceback (most recent call last): File "E:\anaconda3\envs\sd\lib\runpy.py", line 196, in _run_module_as_main return _run_code(code, main_globals, None, File "E:\anaconda3\envs\sd\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "D:\stable-diffusion-webui\lora-scripts\venv\Scripts\accelerate.exe\main__.py", line 7, in File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main args.func(args) File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command simple_launcher(args) File "D:\stable-diffusion-webui\lora-scripts\venv\lib\site-packages\accelerate\commands\launch.py", line 567, in simple_launcher raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd) subprocess.CalledProcessError: Command '['D:\stable-diffusion-webui\lora-scripts\venv\Scripts\python.exe', './sd-scripts/train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=D:/stable-diffusion-webui/models/Stable-diffusion/chilloutmix_NiPrunedFp32Fix.safetensors', '--train_data_dir=./train/aki', '--output_dir=./output', '--logging_dir=./logs', '--resolution=512,512', '--network_module=networks.lora', '--max_train_epochs=10', '--learning_rate=1e-4', '--unet_lr=1e-4', '--text_encoder_lr=1e-5', '--lr_scheduler=cosine_with_restarts', '--lr_warmup_steps=0', '--network_dim=32', '--network_alpha=32', '--output_name=aki', '--train_batch_size=1', '--save_every_n_epochs=2', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1337', '--cache_latents', '--clip_skip=2', '--prior_loss_weight=1', '--max_token_length=225', '--caption_extension=.txt', '--save_model_as=safetensors', '--min_bucket_reso=256', '--max_bucket_reso=1024', '--xformers', '--shuffle_caption', '--use_8bit_adam']' returned non-zero exit status 1.

[Akegarasu]

clip模型下坏了，自己清掉旧的。huggingface/hub 目录

[timlee0719]

clip模型下坏了，自己清掉旧的。huggingface/hub 目录

請問可以講解一下嗎? 我也是預到同樣的情況

[timlee0719]

prepare optimizer, data loader etc. Traceback (most recent call last): File "C:\Users\TIM\kohya_ss\train_network.py", line 507, in train(args) File "C:\Users\TIM\kohya_ss\train_network.py", line 150, in train optimizer_name, optimizer_args, optimizer = train_util.get_optimizer(args, trainable_params) File "C:\Users\TIM\kohya_ss\library\train_util.py", line 1536, in get_optimizer assert optimizer_type is None or optimizer_type == "", "both option use_8bit_adam and optimizer_type are specified / use_8bit_adamとoptimizer_typeの両方のオプションが指定されています" AssertionError: both option use_8bit_adam and optimizer_type are specified / use_8bit_adamとoptimizer_typeの両方のオプションが指定されています Traceback (most recent call last): File "C:\Users\TIM\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\TIM\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "C:\Users\TIM\kohya_ss\venv\Scripts\accelerate.exe__main__.py", line 7, in File "C:\Users\TIM\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main args.func(args) File "C:\Users\TIM\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command simple_launcher(args) File "C:\Users\TIM\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\TIM\kohya_ss\venv\Scripts\python.exe', 'train_network.py', '--pretrained_model_name_or_path=C:/AI Art/stable-diffusion-webui/models/Stable-diffusion/anything-v3-full.safetensors', '--train_data_dir=C:/AI Art/Training/Nikke_Marian/Destination', '--resolution=512,512', '--output_dir=C:/AI Art/Training/Nikke_Marian/Model', '--logging_dir=', '--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=Nikke_Marian', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=constant', '--train_batch_size=2', '--max_train_steps=800', '--save_every_n_epochs=1', '--mixed_precision=bf16', '--save_precision=bf16', '--seed=1234', '--caption_extension=.txt', '--cache_latents', '--optimizer_type=AdamW', '--max_data_loader_n_workers=1', '--clip_skip=2', '--bucket_reso_steps=64', '--xformers', '--use_8bit_adam', '--bucket_no_upscale']' returned non-zero exit status 1.