I created an algorithm that turns pixel-art-style outputs from LLMs such as GPT-4o into usable assets.
GPT-4o has a fantastic image generator and can turn images into a pixel-art-like style. However, the raw output is generally unusable as an asset due to
- High noise
- High resolution Inconsistent grid spacing
- Random artifacts
Due to these issues, regular down-sampling techniques do not work, and the only options are to either use a down-sampling method that does not produce a result that is faithful to the original image, or manually recreate the art pixel by pixel.
Additionally, these issues make raw outputs very difficult to edit and fine-tune. I created an algorithm that post-processes pixel-art-style images generated by GPT-4o, and outputs the true resolution image as a usable asset. It also works on images of pixel art from screenshots and fixes art corrupted by compression.
If you are trying to use this and not getting the results you would like feel free to reach out!
submitted by /u/Ok-Championship-5768
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