---
title: AUTOMATIC1111 起動の不具合解消 第3刷に対応した hotfixを実施しました
description: Stable DiffusionスタートガイドのGoogle Colabスクリプト不具合を修正し、最新バージョンで動作確認済み。詳細とエラーメッセージの紹介。
image: https://corp.aicu.ai/hubfs/rectangle_large_type_2_65548481d89fc254217181d8ba34c66f-3.png
---
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# AUTOMATIC1111 起動の不具合解消 第3刷に対応した hotfixを実施しました
2025/1/9
 [AICU Japan](https://corp.aicu.ai/ja/author/aidx-lab)
2024年3月の発売以来、多くの方にご購読いただいた「[画像生成AI Stable Diffusionスタートガイド](https://j.aicu.ai/SBXL)」（通称 [#SD黄色本](https://note.com/hashtag/SD%E9%BB%84%E8%89%B2%E6%9C%AC) ）に掲載されていた Google Colabのスクリプトに不具合が発生しておりましたが、修正されました。
読者の方からのご指摘がございました。ありがとうございます。
> 「画像生成AI Stable Diffusion スタートガイド」を読みながら勉強しているのですが、"セクション2-2 google colabでの環境構築" でつまづいています。46ページ目の④モデルのダウンロードでエラーになります。Google Colab は pro にて有償利用しています。CUも充分残っています。以下にエラー最後の部分を記しておきます。
（エラーメッセージについては文末に記載いたします）
## 修正作業の背景
[AUTOMATIC1111/Stable-Diffusion-WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)の本家がバージョン1.10.0以降メンテナンスされない中、コミュニティにおいてTheLastBen氏によるメンテナンスが続いています。また新しいモデルとしてFlux.1がサポートされており、WebUIもバージョン1.10.1になっていますが、一方で、protobufと関連ライブラリのバージョン維持が複雑になっています。
作業が長引いた背景として、2024年7月29日のAICUによる長期サポート(LTS)化メンテナンスがありましたが、根が深い問題であり、一旦LTSをロールバックして12月28日にhotfixとして早急な解決をいたしました。
[https://github.com/aicuai/Book-StartGuideSDXL](https://github.com/aicuai/Book-StartGuideSDXL)
現在は、AUTOMATIC1111 が動作しています。
[](https://assets.st-note.com/img/1735652420-vQIFZoi0pKYulVOBJED7jb9T.png?width=2000&height=2000&fit=bounds&quality=85)
[](https://assets.st-note.com/img/1735655868-xawQrF0HN4nEl2Vfhc7Bq1zv.png?width=2000&height=2000&fit=bounds&quality=85)
version: v1.10.1
python: 3.10.12
torch: 2.5.1+cu121
xformers: 0.0.27.post2
gradio: 3.41.2
checkpoint: 1449e5b0b9 (AnimagineXL3.0)
※書籍の説明にあわせてAnimagineXL3.0がデフォルトになっています。
以下が初版初出からの主要なアップデートとなります。
- 20241228 第3刷に対応した hotfixを実施しました
[https://j.aicu.ai/SBXL1](https://j.aicu.ai/SBXL1) [https://j.aicu.ai/SBXL2](https://j.aicu.ai/SBXL2)
- 20241118 第3刷 6.3 自分の画風のLoRAを作る [https://j.aicu.ai/SDLoRA2](https://j.aicu.ai/SDLoRA2)
- [20240729 Google Colab での TheLastBen版「Fast Stable Diffusion - AUTOMATIC1111」を 長期間サポート(LTS)化を目指して完全解説](https://note.com/aicu/n/nf5562077c8ad)
- 20240728 AUTOMATIC1111 v1.10.x に対応しました [https://j.aicu.ai/SBXL1](https://j.aicu.ai/SBXL1) [https://j.aicu.ai/SBXL2](https://j.aicu.ai/SBXL2)
現在のhotfixは原作のTheLastBenさんの 2024年11月21日版 [Commit a12b351](https://github.com/TheLastBen/fast-stable-diffusion/commit/a12b3516ba278aa065de1c1c09641c6a722fdc73)をベースにしており、AUTOMATIC1111-v1.10.1というバージョンが動いています。過去のLTS化はいったん外した状態になっています。今後、xformers: 0.0.27.post2のGoogle Colabでのサポート状況を確認しつつ、さらなる恒久化・安定化・LTS化を実施していきたいと考えています。
[https://aicu.jp/n/nf5562077c8ad](https://aicu.jp/n/nf5562077c8ad)
書籍の方は第3刷においてこれまでの修正が反映されています。
出版社のサポートサイトもご参照いただけますと幸いです。
[https://www.sbcr.jp/support/4815617836/](https://www.sbcr.jp/support/4815617836/)
新しい年も、「SD黄色本」をよろしくお願いいたします。
著者：AICU media、白井 暁彦
---
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付録：レポートされておりましたエラーを以下に掲載します
> Traceback (most recent call last):
> File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import\_utils.py", line 1146, 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/modeling\_utils.py", line 83, in
> from accelerate import **version** as accelerate\_version
> File "/usr/local/lib/python3.10/dist-packages/accelerate/**init**.py", line 7, in
> from .accelerator import Accelerator
> File "/usr/local/lib/python3.10/dist-packages/accelerate/accelerator.py", line 33, in
> from .tracking import LOGGER\_TYPE\_TO\_CLASS, GeneralTracker, filter\_trackers
> File "/usr/local/lib/python3.10/dist-packages/accelerate/tracking.py", line 29, in
> from torch.utils import tensorboard
> File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/**init**.py", line 12, in
> from .writer import FileWriter, SummaryWriter # noqa: F401
> File "/usr/local/lib/python3.10/dist-packages/torch/utils/tensorboard/writer.py", line 13, in
> from tensorboard.compat.proto import event\_pb2
> File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/event\_pb2.py", line 17, in
> from tensorboard.compat.proto import summary\_pb2 as tensorboard\_dot\_compat\_dot\_proto\_dot\_summary\_\_pb2
> File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/summary\_pb2.py", line 17, in
> from tensorboard.compat.proto import tensor\_pb2 as tensorboard\_dot\_compat\_dot\_proto\_dot\_tensor\_\_pb2
> File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor\_pb2.py", line 16, in
> from tensorboard.compat.proto import resource\_handle\_pb2 as tensorboard\_dot\_compat\_dot\_proto\_dot\_resource\_\_handle\_\_pb2
> File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/resource\_handle\_pb2.py", line 16, in
> from tensorboard.compat.proto import tensor\_shape\_pb2 as tensorboard\_dot\_compat\_dot\_proto\_dot\_tensor\_\_shape\_\_pb2
> File "/usr/local/lib/python3.10/dist-packages/tensorboard/compat/proto/tensor\_shape\_pb2.py", line 36, in
> \_descriptor.FieldDescriptor(
> File "/usr/local/lib/python3.10/dist-packages/google/protobuf/descriptor.py", line 553, in **new**
> \_message.Message.\_CheckCalledFromGeneratedFile()
> TypeError: Descriptors cannot be created directly.
> If this call came from a \_pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
> If you cannot immediately regenerate your protos, some other possible workarounds are:Downgrade the protobuf package to 3.20.x or lower.
> Set PROTOCOL\_BUFFERS\_PYTHON\_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
>
> More information: [https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates](https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates)
>
> The above exception was the direct cause of the following exception:
>
> Traceback (most recent call last):
> File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/webui.py", line 13, in
> initialize.imports()
> File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/initialize.py", line 17, in imports
> import pytorch\_lightning # noqa: F401
> File "/usr/local/lib/python3.10/dist-packages/pytorch\_lightning/**init**.py", line 34, in
> from pytorch\_lightning.callbacks import Callback # noqa: E402
> File "/usr/local/lib/python3.10/dist-packages/pytorch\_lightning/callbacks/**init**.py", line 14, in
> from pytorch\_lightning.callbacks.callback import Callback
> File "/usr/local/lib/python3.10/dist-packages/pytorch\_lightning/callbacks/callback.py", line 25, in
> from pytorch\_lightning.utilities.types import STEP\_OUTPUT
> File "/usr/local/lib/python3.10/dist-packages/pytorch\_lightning/utilities/types.py", line 28, in
> from torchmetrics import Metric
> File "/usr/local/lib/python3.10/dist-packages/torchmetrics/**init**.py", line 14, in
> from torchmetrics import functional # noqa: E402
> File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/**init**.py", line 77, in
> from torchmetrics.functional.text.bleu import bleu\_score
> File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/**init**.py", line 30, in
> from torchmetrics.functional.text.bert import bert\_score # noqa: F401
> File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/bert.py", line 24, in
> from torchmetrics.functional.text.helper\_embedding\_metric import (
> File "/usr/local/lib/python3.10/dist-packages/torchmetrics/functional/text/helper\_embedding\_metric.py", line 26, in
> from transformers import AutoModelForMaskedLM, AutoTokenizer, PreTrainedModel, PreTrainedTokenizerBase
> File "", line 1075, in \_handle\_fromlist
> File "/usr/local/lib/python3.10/dist-packages/transformers/utils/import\_utils.py", line 1136, 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 1148, in \_get\_module
> raise RuntimeError(
> RuntimeError: Failed to import transformers.modeling\_utils because of the following error (look up to see its traceback):
> Descriptors cannot be created directly.
> If this call came from a \_pb2.py file, your generated code is out of date and must be regenerated with protoc >= 3.19.0.
> If you cannot immediately regenerate your protos, some other possible workarounds are:Downgrade the protobuf package to 3.20.x or lower.
> Set PROTOCOL\_BUFFERS\_PYTHON\_IMPLEMENTATION=python (but this will use pure-Python parsing and will be much slower).
>
> More information: [https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates](https://developers.google.com/protocol-buffers/docs/news/2022-05-06#python-updates)
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Originally published at [https://aicu.jp](https://aicu.jp/n/n97456571e02e) on Dec 31, 2024.
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