ZyloO-ai/Lora-Train-Manager

LoraTrainManager is a Windows Forms desktop application designed to manage LoRA training datasets. It provides a graphical interface for visualizing dataset folder structures, tracking status, and launching external training tools like Kohya\_ss. The system persists configuration and state locally, utilizing .NET 6 and Newtonsoft.Json for data handling.

The project now includes auto-generated files for application configuration (Application.Designer.vb, Application.myapp) and resource management (Resources.Designer.vb, Resources.resx). These files define the application's startup behavior, including setting the main form to Form1, enabling visual styles, and configuring the application as a single-instance or multi-instance application. The resource files provide strongly-typed access to embedded resources, specifically a bitmap image named 'Untitled Project\_Comp 1\_2024-07-16\_12.03.03'.

My Project · high confidence

The LoraTrainManager desktop application is introduced, providing a Windows Forms interface for managing LoRA training datasets. The tool features a TreeView for visualizing dataset folder structures and displays folder status (Pending, Done, Retrain) with color-coded nodes. Users can view dataset details such as image count, caption presence, and model presence, while also having options to create new dataset folders, delete folders, open directories, and launch external tools like Kohya\_ss and BooruDatasetTagManager. Configuration and state are persisted in AppData.

(repo-wide) · high confidence

Introduced the LoraTrainManager project file, establishing a .NET 6 Windows Forms application targeting net6.0-windows. The project is configured as a WinForms executable with an embedded icon and references the Newtonsoft.Json NuGet package (version 13.0.3) for JSON handling.

(dependencies) · high confidence

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

• CAI 45 → 44 (-1.3)
• Rubric changed (rubric-2026.08.18 → rubric-2026.09.15) — scores are not directly comparable.

• Code Health 95 → 95 (+0.0)
• Architecture 69 → 69 (+0.0)
• Maturity 47 → 47 (+0.0)
• Readiness 24 → 23 (-0.9)
• Security 100 → 87 (-13.3)

• Duplicated block (21 lines × 2) (Form1.vb)
• No exposed public API
• The 'Change Root of All Datasets' feature is present but not fully explained: what happens when you change the root (e.g. delete saved states) and how to revert it? (README.md)
• XML-doc coverage: LoraTrainManager (LoraTrainManager.vbproj)
• early-stage repository — too little history to judge knowledge freshness
• git history depth insufficient
• git history depth insufficient
• single-maintainer — knowledge-concentration (bus factor) risk

• Documentation: no installation or build instructions (README.md)
• Documentation: no usage examples (README.md)
• Duplicated block (21 lines × 2) (Form1.vb)
• End-of-life runtime: .NET net6.0
• No ADRs found

Written by watchdog.canine.dev from the codebase's own history, inside the signed delivery this page is composed from.

ZyloO-ai/Lora-Train-Manager was measured the same way every project in this corpus was: the same rubric, at a pinned commit, with the result published in full. Point a surveyor at a repository you know and see whether you agree with it.