Dataset-Tools: A Simple Dataset Viewer for AI Art

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Dataset-Tools is a desktop application designed to help users browse and manage their image and text datasets, particularly those used with AI art generation tools like Stable Diffusion. Developed using PyQt6, it provides a simple and intuitive graphical interface for browsing images, viewing metadata, and examining associated text prompts. This project is inspired by tools within the AI art community (receyuki/stable-diffusion-prompt-reader) and aims to empower users in improving their dataset curation workflow.

Daily updates are here: https://github.com/Ktiseos-Nyx/Dataset-Tools

How to Use Dataset-Tools

Requirements

To run the program, you will need the following software:

Python:

• Python.org or Try uv

Git:

• Windows

• MacOS first option, or second option

• Linux

Launching the Application

1. Open your terminal shell console of choice. (ie: powershell, cmd, zsh, bash, etc.)

2. git clone or download the Dataset-Tools repository from GitHub.

   git clone https://github.com/Ktiseos-Nyx/Dataset-Tools.git

   Move into Dataset-Tools folder and pip install the required dependencies:

   cd Dataset-Tools
   
   pip install .

   NOTE: uv users

   cd Dataset-Tools
   
   uv pip install .

3. Run the application with dataset-tools command:

   dataset-tools

You're in!

User Interface Overview

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The application window has the following main components:

• Current Folder: Displays the path of the currently loaded folder.

• Open Folder: A button to select a folder containing images and text files.

• Image List: Displays a list of images and text files found in the selected folder.

• Image Preview: An area to display a selected image.

• Metadata Box: A text area to display the extracted metadata from the selected image (including Stable Diffusion prompt, settings, etc.).

• Prompt Text: A text label to display the prompt from the selected image.

• Text File Content Area: A text area to display the content of any associated text files.

Managing Images and Text

• Selecting Images: Click on an image or text file in the list to display its preview, metadata, and associated text content.

• Viewing Metadata: Metadata associated with the selected image is displayed on the text area, such as steps, samplers, seeds, and more.

• Viewing Text: The content of any text file associated with the selected image is displayed on the text box.

Key Features

• Graphical User Interface (GUI): Built with PyQt6 for a modern and cross-platform experience.

• Image Previews: Quickly view images in a dedicated preview area.

• Metadata Extraction: Extract and display relevant metadata from PNG image files, especially those generated from Stable Diffusion.

• Text Viewing: Display the content of text files.

• Clear Layout: A simple and intuitive layout, with list view on the left, and preview on the right.

Future Developments

• Thumbnail Generation: Implement thumbnails for faster browsing.

• JPEG Metadata: Add support for extracting metadata from JPEG files.

• Themes: Introduce customizable themes for appearance.

• Filtering/Sorting: Options to filter and sort files.

• Better User Experience: Test on different operating systems and screen resolutions to optimize user experience.

• Video Tutorials: Create video tutorials to show users how to use the program.

• Text Tutorials: Create detailed tutorials in text and image to show the user how to use the program.

Help the Creators

Join our Discord Server

--<{ Ktiseos Nyx }>--

is a creator collective consisting of

Duskfall Portal Crew on GitHub

EXDYSA on GitHub

...and more to come!

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