For quite some time now, artificial intelligences like ChatGPT have been pestered with questions about the world and life, and Kingdom Come Deliverance 2 is another issue that some AI has to deal with. One of these poor things was now given the task to imagine KCD 2 and paint it digitally; see the results here.
KCD 2 concept art done differently: Kingdom Come Deliverance 2 is probably one of the most desired role-playing games, without any measurement being necessary or possible here. That a sequel to The Elder Scrolls competitor will be released is considered certain even without an official announcement; since an investor conference of developer Warhorse Studios, a release even seems possible as early as 2023.
Reason enough for fans of the potential RPG series to take a closer look at the topic of KDC 2, and even apply painting artificial intelligences to it. The YouTube channel Resonant recently published such a visualization attempt in its community section. You can see how the AI imagined Kingdom Come Deliverance 2 a bit further down.
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Kingdom Come Deliverance 2 Painted by an AI
The four pictures made by the artificial intelligence show scenes that are basically already present in Kingdom Come Deliverance. If the artificial wise guy has tried his hand at fortune-telling here, let’s hope that he is mistaken, or that KDC 2 at least offers some visual variety in some areas.
While fans would probably be rather dismissive of the visual style shown here, the AI-generated result is quite respectable as such (see below). The only thing that has to be overlooked is the five-legged horse in picture number four.
The question of which artificial intelligence spat out the images shown here remained unanswered at the time of writing. In our estimation, it is the work of Midjourney, a text-to-image AI that is currently undergoing beta testing. As part of this, an early version of the AI can be accessed through the official Midjourney Discord server.
It accepts instructions in the form of text prompts like “/imagine”. Despite the comfortable text-to-image approach, it is not easy to get images like the above out of the program. This requires a good imagination and a good knowledge of the relevant text commands.
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