Stable Diffusion Painting Training
Stable Diffusion Painting Training is a training course that focuses on teaching how to use the Stable Diffusion technique for painting. Stable Diffusion may be an advanced AI painting technique or tool that can help students master modern painting techniques and creative processes. By participating in this training, participants can learn the basic principles of Stable Diffusion, how to use it, and how to use the tool for creative drawing.
Can AI replace designers?
Artificial intelligence technology has made some progress in the field of design, which can assist designers to complete some repetitive and computationally intensive tasks, such as data analysis, optimization algorithms, etc. However, current AI technology cannot completely replace the role of designers. A designer's job is not only about the application of techniques and tools, but also about their creativity, aesthetic perception, communication skills, and understanding of culture and history. These aspects cannot be fully simulated and replaced by AI technology at present. Designers are able to combine technology and art through their own unique perspective and creativity to create valuable and impactful work. Therefore, while AI technology can provide convenience and efficiency to designers, it cannot completely replace the role and value of designers.
If you want to improve your professional and technical skills, I recommend signing up for a training course.
Here I have summarized the relevant domestic educational institutions and selected a few for your reference
Wang's Education
The old educational institutions, including CG painting, 3D modeling, ** post-professional strength is more prominent, this institution will also hold a national CG competition every year, divided into 2D painting and 3D model two groups, participants in addition to their students, there are also many industry practitioners and college students, industry recognition is relatively high.
cgwang
The founder was born in a CG class, and had a high reputation in his early years, and most of the students he trained were in the CG field, such as the games you are playing now, the animated movies you watch, and many of the people who participated in the production were from this training institution.
Painter Scholar
A paradise for self-learners, this education platform has countless resources and materials in addition to a large number of ** tutorials, and most of them are free, the services you want to charge for are also very cost-effective, and the offline campus reputation is also very good.
Goo
CG recruitment is great, technical training is even better, and it not only learns things but also quickly connects to work, which is not too fragrant.
Explain the first impression effect with AI painting
The first impression effect, also known as the first cause effect, refers to the impact of impressions formed by people during their first contact with others on subsequent evaluations and interactions. In the context of AI painting, we can explain the first impression effect like this:
When a viewer is first exposed to a work drawn by AI, they tend to form an overall evaluation of the work based on their first impressions of the work. If the work makes a strong impression in terms of color, composition, style, etc., then the viewer may have a positive evaluation and interest in the work. Conversely, if the first impression of the work is not appealing enough, the viewer may have a negative opinion of it or ignore it.
This phenomenon is the embodiment of the first impression effect in the field of AI painting. It reminds us that when using AI technology to create paintings, we should pay attention to the first impression of the work, and try to be attractive and impactful in terms of color, composition, style, etc. At the same time, we should also realize that the first impression is not decisive, it is only a preliminary evaluation of the work by the audience. Through continuous improvement and optimization, we can improve the quality of AI paintings, so that the audience can have a deeper understanding and understanding of them.
In conclusion, Stable Diffusion painting training can help trainees master advanced AI painting techniques, but AI cannot completely replace the role of designers at present. In AI painting creation, we should pay attention to the first impression of the work to attract the attention and interest of the audience. At the same time, we should also continue to improve and optimize the quality of the work, so that the audience can have a deeper understanding and understanding of it.