0243 It's not fully realistic, but it's still WOW

I’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.

✅ Key Features:

• Displays prompt metadata stored in PNG and JPEG images.

• Filter function for searching by Prompt, Negative Prompt, or Filename – great when looking for specific Loras or other elements you've used.

• One-click copy of prompt data to your clipboard – easy to reuse or analyze.

• Fullscreen mode with visible prompts – ideal for reviewing larger image collections while keeping the details in view.

• Delete images directly from the app – for those who like to keep their folders clean and organized.

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:
🔗 https://github.com/LordKa-Berlin

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 me

ATTENTION

for all who want to recreate my work!

I use the Dynamic Thresholding Extension for Stable Diffusion for almost all my work

https://github.com/mcmonkeyprojects/sd-dynamic-thresholding

This makes higher CFG values and steps possible!

I can only recommend it to you!