[Snyk] Fix for 2 vulnerabilities

[alejandrosuarez]

Snyk has created this PR to fix 2 vulnerabilities in the pip dependencies of this project.

Snyk changed the following file(s):

• examples/research_projects/dreambooth_inpaint/requirements.txt

⚠️ Warning

transformers 4.30.2 requires safetensors, which is not installed.
torchvision 0.14.1 requires torch, which is not installed.
tensorboard 2.11.2 requires protobuf, which is not installed.
accelerate 0.20.3 requires torch, which is not installed.

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[gemini-code-assist]

Summary of Changes

Hello @alejandrosuarez, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on enhancing the security posture of the project by updating specific Python package versions within a requirements file. The aim is to resolve known vulnerabilities in protobuf and torch to ensure the stability and safety of the dreambooth_inpaint example's dependencies.

Highlights

• Vulnerability Fixes: This pull request, automatically generated by Snyk, addresses two identified vulnerabilities in the project's Python dependencies.
• Dependency Updates: The requirements.txt file for the dreambooth_inpaint example has been updated to pin protobuf to version >=6.33.5 and torch to version >=2.10.0 to mitigate the vulnerabilities.
• Snyk Automation: The changes were made by Snyk to resolve SNYK-PYTHON-PROTOBUF-15090738 and SNYK-PYTHON-TORCH-15123585.

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[socket-security]

Review the following changes in direct dependencies. Learn more about Socket for GitHub.

Diff	Package	Supply Chain Security	Vulnerability	Quality	Maintenance	License
	protobuf@​6.33.5

View full report

[gemini-code-assist]

Code Review

This pull request from Snyk aims to resolve security vulnerabilities by updating protobuf and torch dependencies. However, the proposed changes introduce a critical issue: the specified versions (protobuf>=6.33.5 and torch>=2.10.0) are invalid and do not exist on PyPI, which will cause the dependency installation to fail. Additionally, such major version upgrades for these core libraries are likely to cause compatibility conflicts with other packages in requirements.txt, such as torchvision and tensorboard, which would also need to be updated. The PR cannot be merged in its current state.

[gemini-code-assist]

The specified versions for protobuf (6.33.5) and torch (2.10.0) appear to be invalid as they do not exist on the public PyPI repository. This will cause pip install to fail with an error.

To fix this, valid and existing versions for these packages must be used.

Furthermore, please be aware of potential downstream compatibility issues. The significant version bumps for torch and protobuf will likely require upgrading other dependencies:

• torchvision is tightly coupled with torch and will likely need to be upgraded to a compatible version.
• tensorboard has a dependency on protobuf and will also likely need an upgrade to be compatible with a newer major version of protobuf (e.g., v4.x or newer).