Multi url download, AI generated but human inspected.

[Reaper176]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello, 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 introduces a significant enhancement to the model import functionality, enabling users to download models more robustly by providing multiple URLs for a single model. This new capability, accessible through a dedicated user interface, streamlines the process of acquiring models, especially when dealing with unreliable download sources, and intelligently integrates with CivitAI for direct model selection.

Highlights

• Multi-URL Model Import: Introduced a new feature allowing users to import models by providing multiple URLs, with the system automatically attempting downloads from fallback URLs if the primary one fails.
• Dedicated User Interface: Added a new "Direct URL" tab in the Model Browser with a dedicated UI for entering URLs, specifying filenames, and selecting download locations.
• Enhanced Download Logic: Modified the core TrackedDownload mechanism to support a list of fallback URIs and manage sequential download attempts from these fallbacks upon failure.
• CivitAI Integration: Implemented logic to parse CivitAI URLs, allowing users to select specific models from CivitAI search results or model pages directly within the new import interface.

🧠 New Feature in Public Preview: You can now enable Memory to help Gemini Code Assist learn from your team's feedback. This makes future code reviews more consistent and personalized to your project's style. Click here to enable Memory in your admin console.

Using Gemini Code Assist

The full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips.

Invoking Gemini

You can request assistance from Gemini at any point by creating a comment using either /gemini <command> or @gemini-code-assist <command>. Below is a summary of the supported commands on the current page.

Feature	Command	Description
Code Review	/gemini review	Performs a code review for the current pull request in its current state.
Pull Request Summary	/gemini summary	Provides a summary of the current pull request in its current state.
Comment	@gemini-code-assist	Responds in comments when explicitly tagged, both in pull request comments and review comments.
Help	/gemini help	Displays a list of available commands.

Customization

To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a .gemini/ folder in the base of the repository. Detailed instructions can be found here.

Limitations & Feedback

Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here.

Footnotes

1. Review the Privacy Notices, Generative AI Prohibited Use Policy, Terms of Service, and learn how to configure Gemini Code Assist in GitHub here. Gemini can make mistakes, so double check it and use code with caution. ↩

[gemini-code-assist]

Code Review

This pull request introduces a valuable feature for multi-URL downloads with fallback capabilities. The implementation is thorough, covering UI, view models, and service layer modifications. The code is generally well-written and structured. I've identified a few opportunities for improvement related to code clarity, robustness, and minor redundancy. My suggestions focus on ensuring defensive copies in a clone method, removing a redundant operation, and enhancing a log message for better debugging clarity. Additionally, for future consideration, the DirectUrlImportViewModel.cs file has grown quite large; refactoring the CivitAI-specific logic into a separate helper or service could improve separation of concerns.