LoRA Data Tool - Multi-Res

Title: LoRA Data Tool v1.3 - Multi-Resolution Edition (Universal Windows & CPU Portable)

Description:

This tool is an evolved, Windows-native, and Portable version of the original LoRA Data Builder. After the success of the first porting, this v1.3 "Multi-Resolution Edition" introduces the most requested feature: the ability to choose your target scaling resolution.

Whether you are training a LoRA at 512px, 768px, or 1024px, this tool handles everything automatically, ensuring your dataset is perfectly prepared with high-quality captions and correctly scaled images.

🚀 Key Features in v1.3:

NEW: Multi-Resolution Selector: Choose between 512, 768, or 1024 from a simple dropdown menu.

Smart Scaling: The tool automatically calculates the correct aspect ratio based on your choice, scaling the shortest side and keeping the image proportions intact.

Dynamic Folders: Images are automatically saved in resolution-specific subfolders (e.g., /512_scaled/) to keep your workspace organized.

No GPU Required: Fully optimized for CPU (Florence-2 model), making it accessible to everyone, even on laptops or older systems.

Portable & Zero Setup: No Python environment to configure. Just unzip and run the executable.

Integrated Auditor: Review, edit, or delete captions and images in real-time through the built-in gallery.

🛠 How to use:

Select Folder: Choose the folder containing your raw images.

Set Resolution: Pick your target resolution (512, 768, or 1024).

Caption Style: Choose between Short, Medium, or Long (Civitai style) descriptions.

Process: Click "Scale + Caption" and let the tool do the magic.

🙏 Credits & Resources:

This project is a collaborative evolution of the community's effort:

Original Linux Scripts: Huge thanks to SarcasticTofu for the original concept and scripts. You can find his original Linux version HERE: /model/2219046?modelVersionId=2498241.

Previous Version: If you are looking for the legacy 1024px-only version or GPU (3090) Version, it's available HERE: /model/2266157?modelVersionId=2550818.

Porting & Optimization: Developed and refined by Jazara930.