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AI Image Creation: A Beginner’s Guide
Understand the history of art
Art history is the core foundation of every design, but it is only a small part of the chaotic data that creates an image. To learn AI effectively, you need to have a broad knowledge of many disciplines and practical experience.
Knowledge of art includes the rules of visual principles, light, color, composition, shape, material identification, etc. Mastering these rules will help you break down the structure and create a new style. If you do not have a basic knowledge of art, your style will only be a copy of others, poor quality and difficult to repair.
In particular, in AI, style is a big issue. When you put content into a prompt like "In the style of Klimt/Wes Anderson", AI can create a perfect image but will bear the imprint of that painter. If you do not understand the nature of style, it will be difficult to change the composition, light, color, etc. according to your wishes.
Choose a favorite painter and analyze their paintings
Choose a favorite painter and carefully analyze their works. Find out the source of inspiration, the techniques used, etc. If possible, you should learn about drawing/design to understand the real knowledge when combined with technology will be stronger.
Example
David Hockney is a famous English painter with a diverse and changing creative style throughout different stages of his career. He often uses bright and vibrant colors in his works. His paintings have a unique visual style with a multi-dimensional perspective and an unusual arrangement of space to create a unique effect for the viewer of the painting. Combined with very distinctive lighting and shadow in his paintings, creating depth and depth for the image.
How to recognize David Hockney's paintings:
- Prominent colors
- Unique landscape composition
- Simplicity but sophistication
- Special lighting and shading create depth
Below is an album of AI paintings that I created. Can you still recognize it as David Hockney's painting if I don't introduce the author from the beginning?
Conclusion
Knowledge and experience are the foundation for the development of everything, whether or not there is AI. If you want to learn AI effectively, start by building a solid foundation of knowledge about art. From there, you will be able to create products with your own style.
Three levels of learning
Three levels of learning
Three levels of learning
Three levels of learning
Three levels of learning
There are three levels of learning in the machine learning process:
Level 1: Simple learning by filling in data according to what you know.
Users may think that they have enough knowledge or copy data from others, but they do not understand what it means. When the results are negative or not as expected, they think that AI is bad. This is similar to having a good camera or a sharp sword but not knowing how to use it, so you think the manufacturer is bad.
Level 2: Having practical knowledge and understanding a lot, but not knowing the mechanism of operation and the language of the machine learning model.
This will give rise to two reactions:
- Also think that the machine is not good enough to express human thoughts.
- Have already understood the problem that you need to learn the language of communication with the machine.
Level 3: Having practical knowledge, well-read, communicating with the machine, but still not creating a unique style
The products created are clearly influenced by the style of others because they do not understand the mechanism of operation of the machine (Machine Learning).
The importance of understanding machine learning
The method of learning that I share with everyone does not teach any commands or create any effects, but is about Deep Learning and Machine Learning. It focuses on understanding how AI works. This is very important because it helps you to understand the principles and theoretical basis of AI algorithms and models, so that you can make rational decisions in selecting, fine-tuning, and applying AI tools to specific problems.
When you just sit back and rely on the settings-commands of the manufacturer, you will not be able to understand the mechanism of operation of AI to go further and control the results that are not in accordance with the process, standards of a design.
Learning from a solid foundation is to take humans as the foundation to understand the mechanism of operation of machines. When you understand the mechanism of operation of AI, you will be able to deal with any AI in the future, whether you like it or not.
Look at the results of the images below, each of which has a completely different operating mechanism that cannot be written by ordinary data. When you understand machine learning, you will be able to control the chaos of each layer of the image, create results to your liking, and control the negative and positive parts of the image at the input.
Conclusion
Machine learning and language-data are the core systems in learning about AI technology, in addition to professional knowledge. The things you can copy, whether with AI or not, are only a result. When you grasp the core, the result is just a speck of dust in the process of going further.
