To generate great AI art, you need a brilliant prompt. An excellent prompt is concise, engaging, and always different.
Therefore, describing an artwork in detail is crucial and pointing out what makes it unique.
Standard captions for public art datasets only describe the most obvious things in the pictures. Unfortunately, this means that models trained to maximize textual similarity tend to make less unique captions and ignore the details. e.g., different parts of captioning: background, object, and relationship between objects.
The cost ($) and carbon footprint of each unsuccessful generation of failed AI art prompts keep increasing.
I use the below NO-CODE & FREE tool to solve this problem: