v2.9.9

Dataset Processor Tools is a comprehensive set of tools designed for processing image datasets for machine learning. With these tools, you can easily discard low-resolution images, resize images while preserving their aspect ratio, generate tags using a pre-trained model, mass edit .txt files with tags, and even manually edit .txt files with ease.

The download comes bundled with all the necessary dependencies, including OnnxRuntime .dll/.so files, to ensure a seamless experience. Please note that some of these files can be quite large due to their importance in the functionality of the tools.

For detailed instructions and examples, be sure to visit the Wiki page. You'll find comprehensive guidance on how to make the most of Dataset Processor Tools.

Fixes:

• Fixed a bug with Inpaint Canvas not handling resolutions properly.
• Massively improved performance of Inpaint Canvas.
• Fix issue with Florence2 Pipeline and any feature relying on it so it no longer freezes the UI.
• Failing to Append Execution providers should now properly fallback to CPU.

Requirements:

This software requires the following runtimes or newest versions, so be sure to install them:

.NET Desktop Runtime 9.0.0 or newer
For Windows users: Visual C++ Redistributable for Visual Studio 2019 for running the Model
Python 3.8.x-3.13.x (tested against 3.10) to use Gemini Captioning

For MAC users please check this Issue on how to build yourself, don't forget to read my comment!