0243 It's not fully realistic, but it's still WOWI’m currently working on a practical tool for anyone creating AI-generated images. Soon, it will be available for free on GitHub.The ImagePromptViewer allows you to extract and display the embedded Prompt, Negative Prompt, and Generation Settings from PNG files – and soon also from JPEG/JPG images.<h3 id="key-features:-65upq0ji8">✅ Key Features:</h3><ul><li>Displays prompt metadata stored in PNG and JPEG images.</li><li>Filter function for searching by Prompt, Negative Prompt, or Filename – great when looking for specific Loras or other elements you've used.</li><li>One-click copy of prompt data to your clipboard – easy to reuse or analyze.</li><li>Fullscreen mode with visible prompts – ideal for reviewing larger image collections while keeping the details in view.</li><li>Delete images directly from the app – for those who like to keep their folders clean and organized.</li></ul>This tool is designed especially for users of KI generated pictures who want a fast and convenient way to view, manage, and organize their AI-generated artwork.If you're interested or want to contribute, feel free to reach out – or check my GitHub soon: 🔗 <a target="_blank" rel="ugc" href="https://github.com/LordKa-Berlin">https://github.com/LordKa-Berlin</a>Many users ask about my long prompts — here’s the reason: I work with a large number of style presets, and I combine them into a single prompt. That often leads to duplicate or similar tokens.While Stable Diffusion does tend to deprioritize or ignore duplicate entries, it doesn't remove them entirely. Changes to tokens — even in long prompts — are still processed and can affect the final output, regardless of where in the prompt the change is made (beginning, middle, or end).Also, remember that SD operates with a token limit (typically 75 tokens per segment in most models), and prompt weighting can still impact how those tokens are interpreted.In short: Even in long prompts, individual changes matter, and fine-tuning your wording is worth the effort.If you like my work, feel free to leave a tip here ;)And as always with meATTENTIONfor all who want to recreate my work!I use the Dynamic Thresholding Extension for Stable Diffusion for almost all my work<a target="_blank" rel="ugc" href="https://github.com/mcmonkeyprojects/sd-dynamic-thresholding">https://github.com/mcmonkeyprojects/sd-dynamic-thresholding</a>This makes higher CFG values and steps possible!I can only recommend it to you!

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