🌟 Version 3.0: Moondream2 Phase 1

This version introduces Moondream2 for single-image analysis while maintaining the classic Florence-2 automation for folders. Perfect for those who want the new UI features with standard batch processing.

Key Updates:

Quick Analyzer (Tab 3): High-quality Moondream2 support for single images.

Anti-Freeze Tech: New system-level clipboard extraction (no more crashes with Windows Photos).

Dataset Mode: Auto-saves matching Image + TXT pairs, ready for LORA training.

Smart Navigation: "Open Folder" button to instantly access your files.

Universal Input: Seamlessly switch between Clipboard (Paste) and Drag & Drop.

🏆 Credits & Development

Windows Port, CPU Optimization & GUI Development: Jazara930

New Features: Full Moondream2 Integration, Multi-resolution Scaling, Quick Analyzer, Universal Input (Paste/Drag & Drop, New keys): by Jazara930

Original Logic (Mac/Linux): SarcasticTofu

💾 Storage Note

Note: The Moondream2 model (approx. 800MB) will be automatically downloaded to your Windows User profile cache (.cache/huggingface) on the first run. Ensure you have enough space on your C: drive.

🔜 Coming Soon: Full Moondream2 batch processing in the next update! Stay tuned.

🚀 LORA Data Builder 2.0 (v2.0 FINAL)

This is the definitive evolution of the Windows tagging tool. This software has been engineered as a professional Portable Suite for LoRA dataset preparation, designed to run entirely on CPU.

Why CPU-Only?

Many users face "WinError 126" or CUDA version conflicts with GPU-based tools. This version eliminates those issues, providing a stable, reliable, and fast experience on any modern Windows machine, regardless of your graphics card.

🌟 Key New Features in v2.0

The workflow has been completely modernized:

• 📋 Paste from Clipboard: The ultimate time-saver. Simply copy an image from your browser and paste it directly into the tool for instant analysis.

• 💾 Live Text Editing: The Auditor is now interactive. Modify the generated prompt and save it directly to the .txt file with one click.

• ⚡ 5-Beam Precision Engine: We use a 5-beam search (num_beams=5) on the Florence-2 model to ensure the highest descriptive accuracy.

• 🚫 Popup-Free Workflow: All actions and "⏳ ANALYZING..." statuses are displayed in a sleek, non-blocking animated status bar.

🧠 Performance & Hardware

Optimized with Torch 2.9.1, the tool leverages modern CPU instruction sets:

• High-End Desktop: Extremely fast batch processing.

• Modern Laptops (Core Ultra / i9 / i7): High-speed inference (2-3 seconds for "Long" descriptions).

• Standard Hardware: Solid and reliable performance on any modern PC.

📊 Professional Dataset Management

• Deterministic Generation: Consistent tagging style across your entire dataset.

• Smart Scaling: Automated high-quality resizing (512, 768, 1024px) using Lanczos filtering.

• Bulk Tools: Instant Search & Replace tags across thousands of files.

📦 Fully Portable & Offline

• Zero Setup: Includes the full portable Python environment and the Florence-2 model pre-installed.

• Total Privacy: Everything stays local on your machine.

🏆 Credits

• Original Logic: SarcasticTofu

• Windows Port, CPU Optimization & GUI Development: Jazara930

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LORA DATA BUILDER - (v1.4 CPU/WIN) Portable

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This v1.4 update is a major stability release. It refines the multi-resolution engine and introduces the Quick Analyzer, making it the most complete and stable portable tool for LoRA dataset preparation.

📌 NEW IN VERSION 1.4:

* Quick Analyzer Tab: Instantly caption single images to test styles before bulk processing.

* Web Drag & Drop: Drag images directly from Civitai into the tool for instant analysis.

* Full English UI: The entire interface is now in English for global accessibility.

* Stability Fix: Improved GUI engine with "Groove" relief to prevent startup crashes.

* Smart Selection: Click the analyzer area to browse files or use Ctrl+C to copy generated prompts.

📌 CORE FEATURES (v1.3 Legacy):

* Resolution Selector: Choose between 512px, 768px, or 1024px.

* Smart Scaling: Automatic shortest-side calculation preserving original aspect ratios.

* Dynamic Folders: Automatic organization into resolution-specific subfolders.

📌 WHAT IS INCLUDED:

Pre-configured *Python 3.11.9** environment.

Pre-downloaded *Florence-2 Base** model (integrated for offline use).

* Startup & Repair Batch Files for immediate execution.

🚀 HOW TO START:

1. Extract the folder to your desktop (**DO NOT** run from inside ZIP).

2. Double-click on: "Avvio_Lora_Tool_v1.4_MultiRes.bat".

3. To Test: Go to "Quick Analyzer" and drag an image from Civitai or your PC.

4. To Batch: Select your folder, resolution, and click "Scale + Caption".

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⚠️ TECHNICAL NOTES:

* CPU Mode: Guaranteed stability on all Windows systems (no specialized GPU drivers required).

* Web Drop: Optimized for Civitai. If a specific website blocks dragging, simply save the image and drag it from your PC.

* Copying: Select the generated text in the Analyzer and press Ctrl+C.

CREDITS:

Porting, English UI - Multiresolutions & Quick Analyzer: Jazara930

Original Scripts: SarcasticTofu

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Title: LoRA Data Tool v1.3 - Multi-Resolution Ed. (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: https://civarchive.com/models/2219046?modelVersionId=2498241.

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

Porting & Optimization: Developed and refined by Jazara930.