# Guide to Resolving AI Image Editing Quality Degradation

### 1. Cause of image quality degradation: "Regeneration, not editing"

AI editing does not modify the existing image; it works by generating the image again from scratch.\
Therefore, the more times you edit it, the more quality degradation occurs, which is an inherent structural characteristic and a phenomenon commonly seen in generative AI models. ([Source](https://zenvanriel.com/ai-engineer-blog/ai-image-generation-quality-pitfalls/))

### 2. Two basic principles for preserving image quality

* Focus on the initial generation: In the first generation step, it is most important to produce an image as close as possible to the desired result.
* Limit the number of edits: To preserve image quality, we recommend minimizing revision work to 1–2 times or fewer.

### 3. How to improve image quality

If you want to improve the quality of an already generated result, try applying the model replacement and prompt strategy below as is.

💡 Solution

An image generated with the Nanobana Pro model \
Nanobanana 2 **After switching to the model, add the prompt below along with the 2K quality setting and regenerate**please.

{% hint style="info" %}
`high resolution, ultra sharp details, natural skin texture, clean edges, no artifacts, realistic lighting, 8k quality, refined details, remove noise and blur`
{% endhint %}

<figure><img src="/files/82233180fd1429b7165e1cf1aa4c86530abd2eb4" alt=""><figcaption></figcaption></figure>

💡 Generation Result

* AS-IS

<figure><img src="/files/3dd16d78e7a32f32b8ae7843a903d4ed4d477526" alt=""><figcaption></figcaption></figure>

* TO-BE

<figure><img src="/files/117c08f9fd69e8bb8c8e49c34c2145fb49de869a" alt=""><figcaption></figcaption></figure>

***

Reference link: [AI Image Generation Quality Pitfalls and Best Practices (Apr 9, 2026)](https://zenvanriel.com/ai-engineer-blog/ai-image-generation-quality-pitfalls/)


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