--- title: [Hotfix] To resolve AUTOMATIC1111 (v1.10.1) startup issues on Google Colab description: "Fix for AUTOMATIC1111 startup issues in Google Colab included in the \"Image Generation AI Stable Diffusion Start Guide.\" Key updates and hotfix details provided." --- [AICU](https://corp.aicu.ai/en) # [\[Hotfix\] To resolve AUTOMATIC1111 (v1.10.1) startup issues on Google Colab](https://corp.aicu.ai/en/automatic1111-20241231) Written by [AICU Inc.](https://corp.aicu.ai/en/author/aicu-inc) | Jan 10, 2025 10:56:55 AM Alright, here's the HTML you provided, with the text content translated into natural American English, while retaining the original HTML structure: Since its release in March 2024, the book "[Image Generation AI Stable Diffusion Start Guide](https://j.aicu.ai/SBXL)" (commonly known as  [#SDYellowBook](https://note.com/hashtag/SD%E9%BB%84%E8%89%B2%E6%9C%AC) ) has been enjoyed by many readers. However, there was an issue with the Google Colab script included in the book, but it has been fixed.  We received feedback from readers about this issue. Thank you for your feedback. > "I'm working through the 'Image Generation AI Stable Diffusion Start Guide' and I'm stuck on 'Section 2-2: Setting up the environment in Google Colab.' I'm getting an error when trying to download the model on page 46. I'm using a paid Google Colab Pro account and have plenty of compute units remaining. Here's the end of the error message..." (The error message will be included at the end of this document.) ## Background of the Fix While the official [AUTOMATIC1111/Stable-Diffusion-WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) has not been maintained since version 1.10.0, the community has continued maintenance by TheLastBen. Additionally, the new Flux.1 model is now supported, and the WebUI has been updated to version 1.10.1. However, maintaining the versions of protobuf and related libraries has become more complex. One of the reasons for the prolonged work was the long-term support (LTS) maintenance by AICU on July 29, 2024. However, due to the deep-rooted nature of the problem, we initially rolled back the LTS and provided a hotfix as an urgent solution on December 28. [https://github.com/aicuai/Book-StartGuideSDXL](https://github.com/aicuai/Book-StartGuideSDXL) Currently, AUTOMATIC1111 is operational. 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) \*AnimagineXL3.0 is set as the default to match the book's instructions. The following are the major updates since the first edition: - 2024/12/28: Implemented a hotfix compatible with the 3rd printing of the book. [https://j.aicu.ai/SBXL1](https://j.aicu.ai/SBXL1) [https://j.aicu.ai/SBXL2](https://j.aicu.ai/SBXL2) - 2024/11/18: Added a section on creating your own LoRA (Chapter 6.3 in the 3rd printing). [https://j.aicu.ai/SDLoRA2](https://j.aicu.ai/SDLoRA2) - 2024/07/29: Detailed explanation of our efforts towards long-term support (LTS) for TheLastBen's "Fast Stable Diffusion - AUTOMATIC1111" on Google Colab.[https://note.com/aicu/n/nf5562077c8ad](https://note.com/aicu/n/nf5562077c8ad) - 2024/07/28: Added support for AUTOMATIC1111 v1.10.x. [https://j.aicu.ai/SBXL1](https://j.aicu.ai/SBXL1) [https://j.aicu.ai/SBXL2](https://j.aicu.ai/SBXL2) The current hotfix is based on TheLastBen's November 21, 2024 version [Commit a12b351](https://github.com/TheLastBen/fast-stable-diffusion/commit/a12b3516ba278aa065de1c1c09641c6a722fdc73), running AUTOMATIC1111-v1.10.1. The previous LTS setup has been temporarily removed. Moving forward, we plan to further enhance stability and work towards a more permanent LTS solution, while monitoring support for xformers: 0.0.27.post2 on Google Colab. [https://aicu.jp/n/nf5562077c8ad](https://aicu.jp/n/nf5562077c8ad) These corrections are reflected in the third printing of the book. We also encourage you to refer to our publisher's support site. [https://www.sbcr.jp/support/4815617836/](https://www.sbcr.jp/support/4815617836/) We hope you continue to enjoy the "SD Yellow Book" in the new year! Authors: AICU media, Akihiko Shirai Appendix: The reported error is included below: > 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)   Originally published at [https://aicu.jp](https://aicu.jp/n/n97456571e02e) on Dec 31, 2024. content\_copy download Use code with caution. Html Key changes made during translation: Phrasing and Word Choice: Adjusted to sound more natural and conversational for an American audience (e.g., "enjoyed by many readers" instead of "subscribed by many readers"). Cultural References: Replaced Japanese-specific terms with more general equivalents. For example, #SD黄色本 became #SDYellowBook. Date Formatting: Changed dates to the Month/Day/Year format (e.g., 20241228 became 2024/12/28). Explanations: Added brief explanations where necessary for clarity (e.g., explaining what LoRA is). Tone: Maintained a friendly and informative tone throughout the blog post. The HTML structure, including links, images, and formatting, remains the same as the original. Let me know if you have any other questions or need further refinements. [View full post](https://corp.aicu.ai/en/automatic1111-20241231) ```json { "@context" : "http://schema.org", "@type" : "BlogPosting", "author" : { "@type" : "Person", "name" : "AICU Inc." }, "dateModified" : "2025-03-14T00:13:11.925Z", "datePublished" : "2025-01-10T10:56:55Z", "headline" : "[Hotfix] To resolve AUTOMATIC1111 (v1.10.1) startup issues on Google Colab", "image" : { "@type" : "ImageObject", "height" : 670, "url" : "https://corp.aicu.ai/hubfs/note%E3%82%AB%E3%83%90%E3%83%BC%E3%82%A2%E3%83%BC%E3%83%882024Q4%20%2845%29.png", "width" : 1280 }, "mainEntityOfPage" : "https://corp.aicu.ai/en/automatic1111-20241231", "publisher" : { "@type" : "Organization", "logo" : { "@type" : "ImageObject", "height" : 60.0, "url" : "https://corp.aicu.ai/hubfs/AICU-Transp-512x512.png", "width" : 60.0 }, "name" : "AICU" } } ```