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AI upscaling tools have revolutionized image enhancement, but a common issue many users face is oversharpening. This results in unnatural textures, exaggerated edges, and a loss of smooth gradients, especially on faces and organic elements. While sharpening can improve details, excessive sharpening creates an artificial look that detracts from the original aesthetic.
One way to tackle this issue is by fine-tuning the sharpening parameters in your upscaling software or applying post-processing techniques. Using Gaussian blur, reducing clarity selectively, or employing frequency separation in Photoshop can help smooth out unnatural details while maintaining overall sharpness. Additionally, some AI models
referred in Generative AI Certification Course recently, and it cleared up a lot of confusion , offer "soft" upscaling modes that preserve a more natural look.
Have you encountered this problem in your AI upscaling workflow? Share your experiences and techniques for achieving a balanced, high-quality upscale without over-sharpening. Let’s discuss the best software settings, filters, and manual touch-ups that work effectively.
Thank you !
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