The future of AI-based image creation

In a world where reality and digital creation are becoming increasingly blurred, artificial intelligence (AI) has already taken its place. It is revolutionizing the way we create images, write texts and translate content. AI-based image creation tools open the doors to a wide range of possibilities. Designers and creatives can create engaging images in a fraction of the time previously required, something that was unimaginable just a few years ago. From creating photorealistic scenes to abstract works of art, the possibilities are almost endless.

The challenges

While the benefits of these innovations are obvious, they also pose risks. The automation of design processes through AI can lead to alienation from traditional artistic skills and, if given the wrong information, can produce the wrong results. However, if one is aware of the risks and counteracts them, the potential of AI-based image creation can be fully exploited. It allows you to expand your own creative boundaries, discover new forms of expression and, above all, save time and money.

Generative AI in practice

To increase efficiency and versatility in image creation, crossbase has tested generative AI engines such as DALL-E 3, Leonardo.AI and Artsmart and integrated them into crossbase. This opens up completely new functions for crossbase users to bring their creative ideas to life. The connection of further tools is possible depending on the availability of an interface from the respective provider. Depending on the licenses, you can choose which engine you want to work with or whether you want to use all three for image generation. All three tools deliver surprisingly good results.

Simple prompt instructions such as "blue sky, sun and snow-covered mountains" can be used to generate suitable backgrounds for cropped product photos and areas in images can be quickly filled with objects. This function in particular is also an option for a long-standing crossbase customer, KTM AG. In addition to AI-supported functions that have already been implemented, such as data quality checks or rule-based motorcycle classification, this function could also save a lot of time. When using a cropped motorcycle, for which only the background is generated via a prompt, the actual motorcycle is not changed. In the case of fully AI-generated images, however, it must be checked internally with the marketing department whether the brand can be represented in accordance with the CI and CD specifications.

Outlook

The connection alone is not enough. AI-generated media in particular should be labeled accordingly in order to be able to trace their origin. crossbase is continuously developing its solution to ensure that these and other requirements for the system are comprehensively covered and do not generate any additional work.