Sometimes people seem slightly disappointed when I tell them that my pictures were painted with a “machine”. From incredulous amazement “aha, so AI can already do that” to “well, then it’s quick and easy” – I feel like a pioneer in working as an AI artist and that’s why I’m writing this blog. To make the process a little easier for everyone to understand.

Yes, AI creates wonderful images.

But the road is often rocky and there are completely different hurdles to overcome than if you had a human illustrator to realize your wishes.

Let’s take the example of a child lying in a meadow and enjoying life.

Fantastic this little face! But: The feet, as filigree as they are worked out… have one toe too many! And the position of the legs? Somehow unnatural. And what is the child actually leaning against? Against an invisible wall of grass?

Let’s try it with a slope and describe exactly how the legs and feet are positioned.

That probably didn’t work. Try it again!

My mother is a yoga teacher, she might be proud of this uncomfortable-looking posture. But no. It doesn’t work like that.

Maybe just on your back again?

Here you can see the little mistakes:

• Once again, pens have crept into the picture
• The flower in the bottom right corner of the picture: two flowers merge into one another… and seem to float
• The butterfly on the right also appears to suffer from a genetic defect.
• The grasses at the top right are partly blue. Color mood or not. They are not blue!
• The child doesn’t really lie completely relaxed either, it seems to do sit-ups rather effortlessly 🙂

What does ChatGPT write to me as an informative article about this?

Image errors when creating illustrations with AI: hands, feet, posture

Artificial intelligence (AI) has made huge strides in recent years, particularly in the field of digital art and illustration. AI-generated images offer incredible opportunities for creativity and efficiency, but they are not without their challenges. One common problem that many artists and developers have encountered is image errors, particularly in the depiction of hands, feet and postures. In this blog article, we take a look at the causes of these errors and discuss possible solutions.

Common image errors in AI-generated illustrations

Hands and feet

Hands and feet are particularly difficult to render for AI models. The complexity of their shapes and the subtlety with which they can express movements and emotions often lead to unnatural renderings. Typical errors include disproportionate fingers, fused or missing toes and hands or feet placed at odd angles.

Posture

Posture is another element that challenges AI models. Capturing the dynamic nature of human movement and translating it into a coherent illustration is complex. This often results in unnatural or physically impossible postures that are immediately apparent to the viewer. Such errors can range from minor inconsistencies in the curvature of the spine to limbs at impossible angles.

Understanding the challenge: Why do errors occur?

Complexity of human anatomy

Human anatomy is complex and the correct representation of hands, feet and postures is a major challenge. AI models based on deep learning have to learn from a huge amount of data to correctly generate these body parts. Despite large amounts of data, certain subtleties and variations in human anatomy can confuse the AI, resulting in unnatural or distorted representations.

Limitations of the training data set

The quality and diversity of the training data set play a decisive role in the accuracy of the AI-generated images. Often, the data sets are not sufficiently diverse or contain errors and irregularities themselves, which are then adopted by the AI. In particular, rare poses or complicated hand and foot positions are underrepresented in the data sets.

Possible solutions: How can we improve accuracy?

Improvement of training data

One way to improve the accuracy of AI-generated illustrations is to expand and cleanse the training data. By ensuring that the dataset includes a wide range of poses, body types and movements, the AI can develop a better understanding of the diversity of human anatomy. The quality of the data is also crucial; accurate and well-curated images can significantly improve the AI’s ability to learn.

Use of specialized models

Another strategy is to develop specialized AI models that focus on specific aspects of human anatomy. By focusing on hands, feet or postures, these models can gain deeper knowledge and create more realistic representations. Such specialized models could be used in a two-stage process, where a general illustration is created first and then refined by specialized models.

Use of feedback loops

Feedback loops, in which human artists evaluate and correct the AI-generated images, can also help to improve accuracy. This method makes it possible to identify specific errors and adapt the AI in a targeted manner. It also offers the opportunity to integrate human judgment into the AI’s learning process, which can lead to a more natural and accurate representation.

Conclusion: The path to flawless AI illustrations

While AI-generated illustrations have the potential to revolutionize the art world, we are still on our way to perfecting the accuracy and realism of this technology. By improving training datasets, using specialized models and integrating feedback loops, we can improve the representation of hands, feet and postures. Ultimately, the combination of human creativity and AI technology will lead to ever more impressive and realistic digital artworks.

My conclusion to the AI article: All correct, but what the human actually wants to know is: what do I have to use for prompts so that the humans are not so dislocated… and why do sometimes perfect hands and feet succeed and sometimes not at all?