Improving AI Image Generation for the Landing Project

In the devlog-ist/landing project, which I understand to be a project focused on creating landing pages, a recent effort was made to improve the accuracy of AI-generated banner images. The specific challenge addressed was the frequent misspelling of text within these images, a common issue with many AI image models.

The Problem

AI image models, while powerful, often struggle with accurately rendering text. This can lead to embarrassing errors, such as "JavScipt" instead of "JavaScript", in banner images meant to represent technical concepts. These errors detract from the professionalism and credibility of the landing pages.

The Solution

The solution implemented was to modify the prompt provided to the AI image model. Specifically, an explicit instruction was added to prioritize spelling accuracy. This addition acts as a constraint, guiding the model to focus on correctly spelling words in the generated image.

For example, before, the prompt might have been:

Generate a banner image for a landing page about JavaScript.

Now, the prompt includes a requirement for text accuracy:

Generate a banner image for a landing page about JavaScript. The image must have accurate spelling.

The Impact

By adding this simple instruction, the frequency of typos in generated banner images is expected to decrease. This improvement contributes to a higher quality user experience and a more polished presentation of technical content on the landing pages.