EpiK Protocol’s AI Artwork Exploration

AI software is mushrooming, and AI painting, as represented by Midjourney, has brought AI art creation to the public. However, most users respond that the difficulty of AI painting is how to make the generated paintings more accurate to express what people want. How to control the variables better? How to modify individual unsatisfactory areas? This is one of the challenges that are currently plaguing the industry.

Various AI applications, led by ChatGPT, are currently mega AI pre-training models that can achieve general understanding and learning. But the capabilities in each segment often need to be supplemented by more AI data to meet expectations. For example, if we want to generate a painting of an apple, the final artwork may not meet our expectations without more accurate AI data to support it.

EpiK Protocol annotations and the AI data collected can complement this deficiency well. For example, a fruit visual recognition question bank was launched on Knowledge Mainland recently. It annotates and collects enough AI data to better reflect the natural fruit classification by feeding it to the relevant models. This segmented AI data support allows AI drawing tools such as Midjourney to more accurately understand different types of fruits and their differences and similarities, improving accuracy and efficiency.

The picture shown is the “owl picking fruit picture” generated by EpiK Protocol, which needs to make the fruit look more realistic while ensuring the owl’s drawing parameters are consistent.

EpiK Protocol will continue conducting more research and experiments to explore how to open AI data in niche areas. In the future, we can launch AI painting applications in various segments. AI painting will play an increasingly important role in the future, bringing us more artistic surprises and innovations.