（B站过来的）
我今天又跑了一下，做了以下事情，没有重现之前的报错，但是有新的问题。
1 下载1.5和2.1的模型 2 修改生成的名称 3 修改底模为1.5 4 修改采样的prompt.其他参数默认
报错我贴在下面，你看看。

Traceback (most recent call last):
  File "/content/sd-scripts/train_network.py", line 773, in <module>
    train(args)
  File "/content/sd-scripts/train_network.py", line 146, in train
    text_encoder, vae, unet, _ = train_util.load_target_model(args, weight_dtype, accelerator)
  File "/content/sd-scripts/library/train_util.py", line 2923, in load_target_model
    text_encoder, vae, unet, load_stable_diffusion_format = _load_target_model(
  File "/content/sd-scripts/library/train_util.py", line 2889, in _load_target_model
    text_encoder, vae, unet = model_util.load_models_from_stable_diffusion_checkpoint(args.v2, name_or_path, device)
  File "/content/sd-scripts/library/model_util.py", line 856, in load_models_from_stable_diffusion_checkpoint
    _, state_dict = load_checkpoint_with_text_encoder_conversion(ckpt_path, device)
  File "/content/sd-scripts/library/model_util.py", line 833, in load_checkpoint_with_text_encoder_conversion
    checkpoint = torch.load(ckpt_path, map_location=device)
  File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 815, in load
    return _legacy_load(opened_file, map_location, pickle_module, **pickle_load_args)
  File "/usr/local/lib/python3.10/dist-packages/torch/serialization.py", line 1033, in _legacy_load
    magic_number = pickle_module.load(f, **pickle_load_args)
_pickle.UnpicklingError: invalid load key, '\x09'.

我看上面的\x09很像是中文的原因，但实际情况是没有输入任何中文的

Cloning into '/content/sd-scripts'...
remote: Enumerating objects: 2808, done.
remote: Counting objects: 100% (1021/1021), done.
remote: Compressing objects: 100% (276/276), done.
remote: Total 2808 (delta 842), reused 847 (delta 745), pack-reused 1787
Receiving objects: 100% (2808/2808), 3.28 MiB | 4.97 MiB/s, done.
Resolving deltas: 100% (1922/1922), done.
Cloning into '/content/kohya-config-webui'...
remote: Enumerating objects: 118, done.
remote: Counting objects: 100% (118/118), done.
remote: Compressing objects: 100% (91/91), done.
remote: Total 118 (delta 58), reused 53 (delta 22), pack-reused 0
Receiving objects: 100% (118/118), 67.27 KiB | 13.45 MiB/s, done.
Resolving deltas: 100% (58/58), done.
torch安装中
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 108.2/108.2 MB 8.2 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.8/123.8 MB 8.0 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 123.6/123.6 MB 7.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 50.9/50.9 MB 12.9 MB/s eta 0:00:00
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 292.5/292.5 kB 33.1 MB/s eta 0:00:00
error: subprocess-exited-with-error

× python setup.py egg_info did not run successfully.
│ exit code: 1
╰─> See above for output.

note: This error originates from a subprocess, and is likely not a problem with pip.
Preparing metadata (setup.py) ... error
error: metadata-generation-failed

× Encountered error while generating package metadata.
╰─> See above for output.

note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
torch安装完成
kohya依赖安装中

──────────────────── Traceback (most recent call last) ──────────────────────╮
│ /content/sd-scripts/train_network.py:873 in │
│ │
│ 870 │ args = parser.parse_args() │
│ 871 │ args = train_util.read_config_from_file(args, parser) │
│ 872 │ │
│ ❱ 873 │ train(args) │
│ 874 │
│ │
│ /content/sd-scripts/train_network.py:168 in train │
│ │
│ 165 │ weight_dtype, save_dtype = train_util.prepare_dtype(args) │
│ 166 │ │
│ 167 │ # モデルを読み込む │
│ ❱ 168 │ text_encoder, vae, unet, _ = train_util.load_target_model(args, we │
│ 169 │ │
│ 170 │ # モデルに xformers とか memory efficient attention を組み込む │
│ 171 │ train_util.replace_unet_modules(unet, args.mem_eff_attn, args.xfor │
│ │
│ /content/sd-scripts/library/train_util.py:3149 in load_target_model │
│ │
│ 3146 │ │ if pi == accelerator.state.local_process_index: │
│ 3147 │ │ │ print(f"loading model for process {accelerator.state.loca │
│ 3148 │ │ │ │
│ ❱ 3149 │ │ │ text_encoder, vae, unet, load_stable_diffusion_format = _ │
│ 3150 │ │ │ │ args, weight_dtype, accelerator.device if args.lowram │
│ 3151 │ │ │ ) │
│ 3152 │
│ │
│ /content/sd-scripts/library/train_util.py:3115 in load_target_model │
│ │
│ 3112 │ load_stable_diffusion_format = os.path.isfile(name_or_path) # de │
│ 3113 │ if load_stable_diffusion_format: │
│ 3114 │ │ print(f"load StableDiffusion checkpoint: {name_or_path}") │
│ ❱ 3115 │ │ text_encoder, vae, unet = model_util.load_models_from_stable │
│ 3116 │ else: │
│ 3117 │ │ # Diffusers model is loaded to CPU │
│ 3118 │ │ print(f"load Diffusers pretrained models: {name_or_path}") │
│ │
│ /content/sd-scripts/library/model_util.py:856 in │
│ load_models_from_stable_diffusion_checkpoint │
│ │
│ 853 │
│ 854 # TODO dtype指定の動作が怪しいので確認する text_encoderを指定形式で作 │
│ 855 def load_models_from_stable_diffusion_checkpoint(v2, ckpt_path, devic │
│ ❱ 856 │ _, state_dict = load_checkpoint_with_text_encoder_conversion(ckpt │
│ 857 │ │
│ 858 │ # Convert the UNet2DConditionModel model. │
│ 859 │ unet_config = create_unet_diffusers_config(v2, unet_use_linear_pr │
│ │
│ /content/sd-scripts/library/model_util.py:833 in │
│ load_checkpoint_with_text_encoder_conversion │
│ │
│ 830 │ │ checkpoint = None │
│ 831 │ │ state_dict = load_file(ckpt_path) # , device) # may causes e │
│ 832 │ else: │
│ ❱ 833 │ │ checkpoint = torch.load(ckpt_path, map_location=device) │
│ 834 │ │ if "state_dict" in checkpoint: │
│ 835 │ │ │ state_dict = checkpoint["state_dict"] │
│ 836 │ │ else: │
│ │
│ /usr/local/lib/python3.10/dist-packages/torch/serialization.py:815 in load │
│ │
│ 812 │ │ │ │ return _legacy_load(opened_file, map_location, _weigh │
│ 813 │ │ │ except RuntimeError as e: │
│ 814 │ │ │ │ raise pickle.UnpicklingError(UNSAFE_MESSAGE + str(e)) │
│ ❱ 815 │ │ return _legacy_load(opened_file, map_location, pickle_module, │
│ 816 │
│ 817 │
│ 818 # Register pickling support for layout instances such as │
│ │
│ /usr/local/lib/python3.10/dist-packages/torch/serialization.py:1033 in │
│ _legacy_load │
│ │
│ 1030 │ │ │ f"Received object of type "{type(f)}". Please update to │
│ 1031 │ │ │ "functionality.") │
│ 1032 │ │
│ ❱ 1033 │ magic_number = pickle_module.load(f, **pickle_load_args) │
│ 1034 │ if magic_number != MAGIC_NUMBER: │
│ 1035 │ │ raise RuntimeError("Invalid magic number; corrupt file?") │
│ 1036 │ protocol_version = pickle_module.load(f, **pickle_load_args) │
╰──────────────────────────────────────────────────────────────────────────────╯
UnpicklingError: invalid load key, '^'.
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /usr/local/bin/accelerate:8 in │
│ │
│ 5 from accelerate.commands.accelerate_cli import main │
│ 6 if name == 'main': │
│ 7 │ sys.argv[0] = re.sub(r'(-script.pyw|.exe)?$', '', sys.argv[0]) │
│ ❱ 8 │ sys.exit(main()) │
│ 9 │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.p │
│ y:45 in main │
│ │
│ 42 │ │ exit(1) │
│ 43 │ │
│ 44 │ # Run │
│ ❱ 45 │ args.func(args) │
│ 46 │
│ 47 │
│ 48 if name == "main": │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py:1104 │
│ in launch_command │
│ │
│ 1101 │ elif defaults is not None and defaults.compute_environment == Com │
│ 1102 │ │ sagemaker_launcher(defaults, args) │
│ 1103 │ else: │
│ ❱ 1104 │ │ simple_launcher(args) │
│ 1105 │
│ 1106 │
│ 1107 def main(): │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py:567 in │
│ simple_launcher │
│ │
│ 564 │ process = subprocess.Popen(cmd, env=current_env) │
│ 565 │ process.wait() │
│ 566 │ if process.returncode != 0: │
│ ❱ 567 │ │ raise subprocess.CalledProcessError(returncode=process.return │
│ 568 │
│ 569 │
│ 570 def multi_gpu_launcher(args): │
╰──────────────────────────────────────────────────────────────────────────────╯
CalledProcessError: Command '['/usr/bin/python3', 'train_network.py',
'--config_file=config_file.toml', '--sample_prompts=sample_prompts.txt']'
returned non-zero exit status 1.

Loading settings from /content/drive/MyDrive/Lora/kohya_config_webui_save/kohya_config_webui_save.toml...
/content/drive/MyDrive/Lora/kohya_config_webui_save/kohya_config_webui_save
prepare tokenizer
update token length: 225
Using DreamBooth method.
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /content/sd-scripts/train_network.py:873 in │
│ │
│ 870 │ args = parser.parse_args() │
│ 871 │ args = train_util.read_config_from_file(args, parser) │
│ 872 │ │
│ ❱ 873 │ train(args) │
│ 874 │
│ │
│ /content/sd-scripts/train_network.py:135 in train │
│ │
│ 132 │ │ │ │ } │
│ 133 │ │ │
│ 134 │ │ blueprint = blueprint_generator.generate(user_config, args, to │
│ ❱ 135 │ │ train_dataset_group = config_util.generate_dataset_group_by_bl │
│ 136 │ else: │
│ 137 │ │ # use arbitrary dataset class │
│ 138 │ │ train_dataset_group = train_util.load_arbitrary_dataset(args, │
│ │
│ /content/sd-scripts/library/config_util.py:375 in │
│ generate_dataset_group_by_blueprint │
│ │
│ 372 │ dataset_klass = FineTuningDataset │
│ 373 │ │
│ 374 │ subsets = [subset_klass(**asdict(subset_blueprint.params)) for sub │
│ ❱ 375 │ dataset = dataset_klass(subsets=subsets, **asdict(dataset_blueprin │
│ 376 │ datasets.append(dataset) │
│ 377 │
│ 378 # print info │
│ │
│ /content/sd-scripts/library/train_util.py:1028 in init │
│ │
│ 1025 │ ) -> None: │
│ 1026 │ │ super().init(tokenizer, max_token_length, resolution, deb │
│ 1027 │ │ │
│ ❱ 1028 │ │ assert resolution is not None, f"resolution is required / res │
│ 1029 │ │ │
│ 1030 │ │ self.batch_size = batch_size │
│ 1031 │ │ self.size = min(self.width, self.height) # 短いほう │
╰──────────────────────────────────────────────────────────────────────────────╯
AssertionError: resolution is required / resolution（解像度）指定は必須です
╭───────────────────── Traceback (most recent call last) ──────────────────────╮
│ /usr/local/bin/accelerate:8 in │
│ │
│ 5 from accelerate.commands.accelerate_cli import main │
│ 6 if name == 'main': │
│ 7 │ sys.argv[0] = re.sub(r'(-script.pyw|.exe)?$', '', sys.argv[0]) │
│ ❱ 8 │ sys.exit(main()) │
│ 9 │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.p │
│ y:45 in main │
│ │
│ 42 │ │ exit(1) │
│ 43 │ │
│ 44 │ # Run │
│ ❱ 45 │ args.func(args) │
│ 46 │
│ 47 │
│ 48 if name == "main": │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py:1104 │
│ in launch_command │
│ │
│ 1101 │ elif defaults is not None and defaults.compute_environment == Com │
│ 1102 │ │ sagemaker_launcher(defaults, args) │
│ 1103 │ else: │
│ ❱ 1104 │ │ simple_launcher(args) │
│ 1105 │
│ 1106 │
│ 1107 def main(): │
│ │
│ /usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py:567 in │
│ simple_launcher │
│ │
│ 564 │ process = subprocess.Popen(cmd, env=current_env) │
│ 565 │ process.wait() │
│ 566 │ if process.returncode != 0: │
│ ❱ 567 │ │ raise subprocess.CalledProcessError(returncode=process.return │
│ 568 │
│ 569 │
│ 570 def multi_gpu_launcher(args): │
╰──────────────────────────────────────────────────────────────────────────────╯
CalledProcessError: Command '['/usr/bin/python3', 'train_network.py',
'--config_file=/content/drive/MyDrive/Lora/kohya_config_webui_save/kohya_config_
webui_save.toml',
'--sample_prompts=/content/drive/MyDrive/Lora/kohya_config_webui_save/kohya_conf
ig_webui_save.toml']' returned non-zero exit status 1.

/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:441: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/transformers/utils/generic.py:309: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
_torch_pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
/usr/local/lib/python3.10/dist-packages/diffusers/utils/outputs.py:63: UserWarning: torch.utils._pytree._register_pytree_node is deprecated. Please use torch.utils._pytree.register_pytree_node instead.
torch.utils._pytree._register_pytree_node(
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1382, in _get_module
return importlib.import_module("." + module_name, self.name)
File "/usr/lib/python3.10/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1050, in _gcd_import
File "", line 1027, in _find_and_load
File "", line 1006, in _find_and_load_unlocked
File "", line 688, in _load_unlocked
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "/usr/local/lib/python3.10/dist-packages/transformers/models/clip/image_processing_clip.py", line 21, in
from ...image_processing_utils import BaseImageProcessor, BatchFeature, get_size_dict
File "/usr/local/lib/python3.10/dist-packages/transformers/image_processing_utils.py", line 28, in
from .image_transforms import center_crop, normalize, rescale
File "/usr/local/lib/python3.10/dist-packages/transformers/image_transforms.py", line 47, in
import tensorflow as tf
File "/usr/local/lib/python3.10/dist-packages/tensorflow/init.py", line 48, in
from tensorflow._api.v2 import internal
File "/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/internal/init.py", line 8, in
from tensorflow._api.v2.internal import autograph
File "/usr/local/lib/python3.10/dist-packages/tensorflow/_api/v2/internal/autograph/init.py", line 8, in
from tensorflow.python.autograph.core.ag_ctx import control_status_ctx # line: 34
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/core/ag_ctx.py", line 21, in
from tensorflow.python.autograph.utils import ag_logging
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/utils/init.py", line 17, in
from tensorflow.python.autograph.utils.context_managers import control_dependency_on_returns
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/autograph/utils/context_managers.py", line 19, in
from tensorflow.python.framework import ops
File "/usr/local/lib/python3.10/dist-packages/tensorflow/python/framework/ops.py", line 29, in
from tensorflow.core.framework import attr_value_pb2
File "/usr/local/lib/python3.10/dist-packages/tensorflow/core/framework/attr_value_pb2.py", line 5, in
from google.protobuf.internal import builder as _builder
ImportError: cannot import name 'builder' from 'google.protobuf.internal' (/usr/local/lib/python3.10/dist-packages/google/protobuf/internal/init.py)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 710, in _get_module
return importlib.import_module("." + module_name, self.name)
File "/usr/lib/python3.10/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "", line 1050, in _gcd_import
File "", line 1027, in _find_and_load
File "", line 1006, in _find_and_load_unlocked
File "", line 688, in _load_unlocked
File "", line 883, in exec_module
File "", line 241, in _call_with_frames_removed
File "/usr/local/lib/python3.10/dist-packages/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion.py", line 20, in
from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection
File "", line 1075, in _handle_fromlist
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1373, in getattr
value = getattr(module, name)
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1372, in getattr
module = self._get_module(self._class_to_module[name])
File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import_utils.py", line 1384, in _get_module
raise RuntimeError(
RuntimeError: Failed to import transformers.models.clip.image_processing_clip because of the following error (look up to see its traceback):
cannot import name 'builder' from 'google.protobuf.internal' (/usr/local/lib/python3.10/dist-packages/google/protobuf/internal/init.py)

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/content/sd-scripts/train_network.py", line 22, in
from library import model_util
File "/content/sd-scripts/library/model_util.py", line 13, in
from diffusers import AutoencoderKL, DDIMScheduler, StableDiffusionPipeline # , UNet2DConditionModel
File "", line 1075, in _handle_fromlist
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 701, in getattr
value = getattr(module, name)
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 701, in getattr
value = getattr(module, name)
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 700, in getattr
module = self._get_module(self._class_to_module[name])
File "/usr/local/lib/python3.10/dist-packages/diffusers/utils/import_utils.py", line 712, in _get_module
raise RuntimeError(
RuntimeError: Failed to import diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion because of the following error (look up to see its traceback):
Failed to import transformers.models.clip.image_processing_clip because of the following error (look up to see its traceback):
cannot import name 'builder' from 'google.protobuf.internal' (/usr/local/lib/python3.10/dist-packages/google/protobuf/internal/init.py)
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in
sys.exit(main())
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/accelerate_cli.py", line 47, in main
args.func(args)
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py", line 1017, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.10/dist-packages/accelerate/commands/launch.py", line 637, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_network.py', '--config_file=config_file.toml', '--sample_prompts=sample_prompts.txt']' returned non-zero exit status 1.