如题 跑训练时出现下列错误 请问该如何解决 Load CSS... Running on local URL: http://127.0.0.1:7860 To create a public link, set `share=True` in `launch()`. 2023-02-26T09:14:47.883ZE [8084:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.883ZE [8084:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:14:47.884ZE [8084:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.884ZE [10624:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.884ZE [8084:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:14:47.884ZE [10624:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:14:47.884ZE [10624:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.884ZE [4552:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.884ZE [10624:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:14:47.884ZE [4552:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:14:47.884ZE [4552:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:14:47.885ZE [4552:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.925ZE [8084:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.925ZE [8084:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.925ZE [10624:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.925ZE [8084:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.926ZE [10624:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.926ZE [8084:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.926ZE [4552:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.927ZE [10624:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.927ZE [4552:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.927ZE [10624:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 2023-02-26T09:15:11.927ZE [4552:ShellIpcClient] shell_ipc_client.cc:132:Connect Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell 2023-02-26T09:15:11.928ZE [4552:ShellIpcClient] shell_ipc_client.cc:609:operator() Failed to connect to the server: NOT_FOUND: Can't connect to socket at: \\.\Pipe\GoogleDriveFSPipe_ken_shell === Source Location Trace: === apps/drive/fs/ipc/shell_ipc_client.cc:133 Folder 100_Swordmaiden: 4000 steps max_train_steps = 4000 stop_text_encoder_training = 0 lr_warmup_steps = 400 accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --enable_bucket --pretrained_model_name_or_path="C:/Users/ken/Desktop/sd.webui/webui/models/Stable-diffusion/AOM2-r34-SF1.1.safetensors" --train_data_dir="C:/Users/ken/Desktop/99+/1" --resolution=512,512 --output_dir="C:/Users/ken/Desktop/99+/2" --logging_dir="C:/Users/ken/Desktop/99+/3" --network_alpha="1" --save_model_as=safetensors --network_module=networks.lora --text_encoder_lr=5e-5 --unet_lr=0.0001 --network_dim=8 --output_name="last" --lr_scheduler_num_cycles="1" --learning_rate="0.0001" --lr_scheduler="cosine" --lr_warmup_steps="400" --train_batch_size="1" --max_train_steps="4000" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --seed="1234" --cache_latents --optimizer_type="AdamW" --bucket_reso_steps=64 --xformers --use_8bit_adam --bucket_no_upscale 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'` `--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`. prepare tokenizer Use DreamBooth method. prepare train images. found directory 100_Swordmaiden contains 40 image files 4000 train images with repeating. loading image sizes. 100%|████████████████████████████████████ ███████████████████████████████████████ █████| 40/40 [00:00<00:00, 1901.64it/s] make buckets min_bucket_reso and max_bucket_reso are ignored if bucket_no_upscale is set, because bucket reso is defined by image size automatically / bucket_no_upscale が指定された场合は、bucketの解像度は画像サイズから自动计算されるため、 min_bucket_resoとmax_bucket_resoは无视されます number of images (including repeats) / 各bucketの画像枚数（缲り返し回数を含む ） bucket 0: resolution (512, 512), count: 4000 mean ar error (without repeats): 0.0 prepare accelerator Using accelerator 0.15.0 or above. load StableDiffusion checkpoint loading u-net: <All keys matched successfully> loading vae: <All keys matched successfully> Some weights of the model checkpoint at openai/clip-vit-large-patch14 were not used when initializing CLIPTextModel: ['vision_model.encoder.layers.7.self_attn.k_proj.bias', 'vision_model.encoder.layers.0.mlp.fc2.bias', 'vision_model.encoder.layers.12.layer_norm1.weight', 'vision_model.encoder.layers.14.layer_norm1.bias', 'vision_model.encoder.layers.22.layer_norm1.weight', 'vision_model.encoder.layers.0.layer_norm1.bias', 'vision_model.encoder.layers.17.self_attn.k_proj.bias', 'vision_model.encoder.layers.4.layer_norm1.weight', 'vision_model.encoder.layers.23.mlp.fc2.bias', 'vision_model.encoder.layers.1.self_attn.out_proj.bias', 'vision_model.encoder.layers.7.self_attn.q_proj.bias', 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'vision_model.encoder.layers.5.mlp.fc2.weight', 'vision_model.encoder.layers.7.layer_norm1.bias', 'vision_model.encoder.layers.14.self_attn.k_proj.bias', 'vision_model.encoder.layers.4.self_attn.v_proj.bias', 'vision_model.encoder.layers.9.layer_norm2.weight', 'vision_model.encoder.layers.18.self_attn.k_proj.bias', 'vision_model.encoder.layers.22.self_attn.k_proj.weight', 'vision_model.encoder.layers.20.self_attn.out_proj.bias', 'vision_model.encoder.layers.8.self_attn.k_proj.weight', 'vision_model.encoder.layers.10.self_attn.q_proj.bias', 'vision_model.encoder.layers.13.mlp.fc1.weight', 'logit_scale', 'vision_model.encoder.layers.4.self_attn.v_proj.weight', 'vision_model.encoder.layers.14.self_attn.out_proj.weight', 'vision_model.encoder.layers.12.mlp.fc1.weight', 'vision_model.encoder.layers.16.self_attn.k_proj.bias', 'vision_model.encoder.layers.15.mlp.fc1.weight'] - This IS expected if you are initializing CLIPTextModel from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model). - This IS NOT expected if you are initializing CLIPTextModel from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model). loading text encoder: <All keys matched successfully> Replace CrossAttention.forward to use xformers caching latents. 100%|████████████████████████████████████ ███████████████████████████████████████ ███████| 40/40 [00:03<00:00, 10.95it/s] import network module: networks.lora create LoRA for Text Encoder: 72 modules. create LoRA for U-Net: 192 modules. enable LoRA for text encoder enable LoRA for U-Net prepare optimizer, data loader etc. Traceback (most recent call last): File "C:\Users\ken\Desktop\sd.webui\kohya\kohya_ss\train_network.py", line 507, in <module> train(args) File "C:\Users\ken\Desktop\sd.webui\kohya\kohya_ss\train_network.py", line 150, in train optimizer_name, optimizer_args, optimizer = train_util.get_optimizer(args, trainable_params) File "C:\Users\ken\Desktop\sd.webui\kohya\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\ken\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\ken\AppData\Local\Programs\Python\Python310\lib\runpy.py", line 86, in _run_code exec(code, run_globals) File "C:\Users\ken\Desktop\sd.webui\kohya\kohya_ss\venv\Scripts\accelerate.exe\__main__.py", line 7, in <module> File "C:\Users\ken\Desktop\sd.webui\kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\accelerate_cli.py", line 45, in main args.func(args) File "C:\Users\ken\Desktop\sd.webui\kohya\kohya_ss\venv\lib\site-packages\accelerate\commands\launch.py", line 1104, in launch_command simple_launcher(args) File "C:\Users\ken\Desktop\sd.webui\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\\ken\\Desktop\\sd.webui\\kohya\\kohya_ss\\venv\\Scripts\\python.exe', 'train_network.py', '--enable_bucket', '--pretrained_model_name_or_path=C:/Users/ken/Desktop/sd.webui/webui/models/Stable-diffusion/AOM2-r34-SF1.1.safetensors', '--train_data_dir=C:/Users/ken/Desktop/99+/1', '--resolution=512,512', '--output_dir=C:/Users/ken/Desktop/99+/2', '--logging_dir=C:/Users/ken/Desktop/99+/3', '--network_alpha=1', '--save_model_as=safetensors', '--network_module=networks.lora', '--text_encoder_lr=5e-5', '--unet_lr=0.0001', '--network_dim=8', '--output_name=last', '--lr_scheduler_num_cycles=1', '--learning_rate=0.0001', '--lr_scheduler=cosine', '--lr_warmup_steps=400', '--train_batch_size=1', '--max_train_steps=4000', '--save_every_n_epochs=1', '--mixed_precision=fp16', '--save_precision=fp16', '--seed=1234', '--cache_latents', '--optimizer_type=AdamW', '--bucket_reso_steps=64', '--xformers', '--use_8bit_adam', '--bucket_no_upscale']' returned non-zero exit status 1. --

※ 发信站: 批踢踢实业坊(ptt.cc), 来自: 123.194.170.24 (台湾) ※ 文章网址: https://webptt.com/cn.aspx?n=bbs/AI_Art/M.1677376959.A.C4F.html ※ 编辑: zxsx811 (123.194.170.24 台湾), 02/26/2023 17:17:44 感谢 真的取消就行了 ※ 编辑: zxsx811 (123.194.170.24 台湾), 02/27/2023 01:12:05