<h1 id="dataset-tools:-a-simple-dataset-viewer-for-ai-art-5afj1e2cc">Dataset-Tools: A Simple Dataset Viewer for AI Art</h1><hr />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 (<a target="_blank" rel="ugc" href="https://github.com/receyuki/stable-diffusion-prompt-reader">receyuki/stable-diffusion-prompt-reader</a>) and aims to empower users in improving their dataset curation workflow.Daily updates are here: <a target="_blank" rel="ugc" href="https://github.com/Ktiseos-Nyx/Dataset-Tools">https://github.com/Ktiseos-Nyx/Dataset-Tools</a><h2 id="how-to-use-dataset-tools-declfvg7k">How to Use Dataset-Tools</h2><h3 id="requirements-wls8h5kve">Requirements</h3>To run the program, you will need the following software:Python:<ul><li><a target="_blank" rel="ugc" href="http://Python.org">Python.org</a> or <a target="_blank" rel="ugc" href="https://github.com/astral-sh/uv">Try uv</a></li></ul>Git:<ul><li><a target="_blank" rel="ugc" href="https://gitforwindows.org/">Windows</a></li><li><a target="_blank" rel="ugc" href="https://git-scm.com/downloads/mac">MacOS first option</a>, <a target="_blank" rel="ugc" href="https://brew.sh/">or second option</a></li><li><a target="_blank" rel="ugc" href="https://git-scm.com/downloads/linux">Linux</a></li></ul><h3 id="launching-the-application-wz5d5jv2p">Launching the Application</h3><ol><li>Open your terminal shell console of choice. (ie: powershell, cmd, zsh, bash, etc.)</li><li>git clone or download the Dataset-Tools repository from GitHub.<pre><code>git clone https://github.com/Ktiseos-Nyx/Dataset-Tools.git</code></pre>Move into Dataset-Tools folder and pip install the required dependencies:<pre><code>cd Dataset-Tools
pip install .</code></pre>NOTE: uv users<pre><code>cd Dataset-Tools
uv pip install .</code></pre></li><li>Run the application with dataset-tools command:<pre><code>dataset-tools</code></pre></li></ol>You're in!<h3 id="user-interface-overview-rjs8vpogy">User Interface Overview</h3><hr />The application window has the following main components:<ul><li>Current Folder: Displays the path of the currently loaded folder.</li><li>Open Folder: A button to select a folder containing images and text files.</li><li>Image List: Displays a list of images and text files found in the selected folder.</li><li>Image Preview: An area to display a selected image.</li><li>Metadata Box: A text area to display the extracted metadata from the selected image (including Stable Diffusion prompt, settings, etc.).</li><li>Prompt Text: A text label to display the prompt from the selected image.</li><li>Text File Content Area: A text area to display the content of any associated text files.</li></ul><h3 id="managing-images-and-text-lnmhc4ucr">Managing Images and Text</h3><ul><li>Selecting Images: Click on an image or text file in the list to display its preview, metadata, and associated text content.</li><li>Viewing Metadata: Metadata associated with the selected image is displayed on the text area, such as steps, samplers, seeds, and more.</li><li>Viewing Text: The content of any text file associated with the selected image is displayed on the text box.</li></ul><h2 id="key-features-8inoqb26g">Key Features</h2><ul><li>Graphical User Interface (GUI): Built with PyQt6 for a modern and cross-platform experience.</li><li>Image Previews: Quickly view images in a dedicated preview area.</li><li>Metadata Extraction: Extract and display relevant metadata from PNG image files, especially those generated from Stable Diffusion.</li><li>Text Viewing: Display the content of text files.</li><li>Clear Layout: A simple and intuitive layout, with list view on the left, and preview on the right.</li></ul><h2 id="future-developments-ns2zrqy9w">Future Developments</h2><ul><li>Thumbnail Generation: Implement thumbnails for faster browsing.</li><li>JPEG Metadata: Add support for extracting metadata from JPEG files.</li><li>Themes: Introduce customizable themes for appearance.</li><li>Filtering/Sorting: Options to filter and sort files.</li><li>Better User Experience: Test on different operating systems and screen resolutions to optimize user experience.</li><li>Video Tutorials: Create video tutorials to show users how to use the program.</li><li>Text Tutorials: Create detailed tutorials in text and image to show the user how to use the program.</li></ul><h2 id="am-available-for-commissions.-n5gcx7fe3">Am available for commissions.</h2><h2 id="recipe:-oxbi6nigi">Recipe:</h2>1 cup sass3 cups WHOOPS.5 cups WHERES THE. CHEETOS?Bake at 450 for 24 hours and then call the nearest fire department.Read a few memes while you're in the ER for severe burns(KIDDING.)Contact Us:Our Discord: <a target="_blank" rel="ugc" href="https://discord.gg/HhBSvM9gBY">https://discord.gg/HhBSvM9gBY</a>Earth &amp; Dusk Media <a target="_blank" rel="ugc" href="https://discord.gg/5t2kYxt7An">https://discord.gg/5t2kYxt7An</a>Backups: <a target="_blank" rel="ugc" href="https://huggingface.co/EarthnDusk">https://huggingface.co/EarthnDusk</a>Send a Pizza: <a target="_blank" rel="ugc" href="https://ko-fi.com/duskfallcrew/">https://ko-fi.com/duskfallcrew/</a>WE ARE PROUDLY SUPPORTED BY: <a target="_blank" rel="ugc" href="https://yodayo.com/">https://yodayo.com/</a> / <a target="_blank" rel="ugc" href="https://moescape.ai/">https://moescape.ai/</a>JOIN OUR DA GROUP: <a target="_blank" rel="ugc" href="https://www.deviantart.com/diffusionai">https://www.deviantart.com/diffusionai</a>JOIN OUR SUBREDDIT: <a target="_blank" rel="ugc" href="https://www.reddit.com/r/earthndusk/">https://www.reddit.com/r/earthndusk/</a>

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