AI art generators utilize AI and machine learning algorithms to create unique images based on a text prompt. These tools can improve the efficiency and cost of some creative processes, but concerns related to ethical use should be considered for business use cases.
This article addresses the top questions people have about AI art generators, including how they work, their features, benefits and challenges. So read on to learn more about AI art generation and how these tools harness artificial intelligence to make users’ visions a reality.
How do AI art generators work?
AI art generators utilize machine learning techniques to generate unique and original artwork or enhance the creative process for users. While the process of generating a desired output is simple for users, often involving inputting information in the form of a text prompt depending on the AI art generator, it’s a little more complicated on the back end.
Before an AI art generator can get to the point where it can take simplistic input and transform it into a unique image, it must undergo training on specific datasets throughout its development process. AI generators use machine learning algorithms and deep neural networks to learn based on the training data and thereby become able to generate new output utilizing this knowledge.
In the case of AI art generation, an AI art generator is trained using provided data in the form of existing artwork and images. Through deep learning techniques, the software becomes able to recognize the relationships within the data and identify patterns. It can then use this knowledge to produce the desired output based on a text prompt or other querying method.
What are the key features of AI art generators?
The following features and capabilities are included in most AI art generators and enable them to produce visually compelling content for users.
Advanced AI art generators can produce outputs that are extremely realistic and can even closely resemble specific artistic mediums (Figure A). The secret is their sophisticated, realistic rendering techniques. Generators with algorithms that use these techniques can take AI-generated artwork to the next level by replicating aspects of existing artwork to generate incredibly lifelike output.
Generative AI algorithms
AI art generators can produce one-of-a-kind artwork based on input data, which is made possible through advanced generative AI algorithms. This involves training the algorithm on existing art data and using this knowledge to generate fresh output in the form of original images.
AI art generators can offer an extensive range of artistic capabilities and options for their users to experiment with creatively. In doing so, these tools encourage creative exploration and freedom for users by letting them modify and adjust their creations every step of the way as they work to achieve their desired outcomes (Figure B).
To encourage creativity and personalization throughout the art generation process, many AI art generators offer intuitive and user-friendly interfaces. This aspect enables artists to engage with and manipulate their artistic generations as they create them (Figure C).
For instance, interfaces with real-time interactive properties allow users to apply prompt changes, adjust their artwork through unique effects and filters and instantly preview the finished product. Interactive and intuitive abilities like these can encourage users to express their creativity and develop their skills in art composition.
A common feature of AI art generators is style transferring, which grants users the ability to apply aspects of existing artworks and styles to their art creations. Users can choose specific stylistic characteristics or aesthetic designs and apply them to the AI art generator’s output. This functionality empowers users to produce artwork that emulates the distinctive look and atmosphere of renowned artists or artistic movements (Figure D).
An advanced AI art generator should have an interface that is designed to promote inclusivity by providing opportunities for users of all experience levels to express their creativity. This can be achieved in various ways. For example, Midjourney has a Community Showcase feature on its platform where members can view other users’ artwork.
NightCafe also lets users interact through comments and messages and even sends out daily challenges and hosts competitions among users (Figure E). AI art generators like these foster inclusivity through community by creating ways for users to interact with one another and bond over their shared interest in AI art.
What are some business use cases of AI art generators?
AI art generators can provide various advantages to businesses when applied to professional and occupational purposes. By streamlining certain elements within a business’s creative workflows, AI art generation can save the organization time and resources by generating impressive visuals that meet their specific needs in just a few moments and keystrokes.
Advertising and marketing
Businesses in and outside the creative industries can benefit from the competitive advantages offered by AI art generators, especially regarding advertising. Companies can leverage the output of AI generated images and artwork to create compelling visual advertising content.
Marketing efforts for digital ads, social media posts and other commercial resources can integrate AI-generated graphics, and companies can even gain inspiration for brand logos through these tools. Using these tools for marketing image generation can result in faster content output and a higher likelihood of gaining consumer attention in a crowded marketplace.
Creative sectors like the entertainment industry can use AI art generators to develop concept art, allowing them to convey their ideas through visuals. AI art puts the creative power into the user’s hands so their vision can become a reality. In this case, a creative can use these tools to generate visual graphics representing their desired outcomes. These AI art generator outputs can help people express ideas and streamline collaboration when developing films, video games, comic books and other media forms.
Many industries that are not considered creative can improve their processes with these tools and their ability to quickly produce detailed and impressive visuals. For example, e-commerce companies and other sales-centric organizations can query impressive product images to display to potential customers. The graphics generated by these tools can represent existing merchandise prototypes and even show examples of customized products for consumers.
Benefits of using an AI art generator
AI art generators are designed to produce the user’s desired output quickly and efficiently. In doing so, these tools can offer a range of benefits for all users, whether they be artists, companies or anybody looking to express their creativity through AI.
- Accessibility: These tools allow anyone to participate in the creative process and produce artwork, regardless of their artistic skills, training or capabilities.
- Speed and efficiency: By automating certain aspects of the creative process, such as editing images, applying filters, generating new designs and performing other creative tasks, AI art generators save users effort and time to reach their desired outcomes.
- Creative inspiration: AI art generator tools provide unlimited inspiration through their capabilities and can be the perfect artistic outlet for users that are interested in the creative side of AI.
With the future steadily evolving, these solutions can enable people to incorporate art alongside technology with limitless capabilities. These tools let users experience their envisioned image generated in mere moments before their very eyes.
Challenges of using an AI art generator
AI art generators are trained on a range of existing artwork and, therefore, learn from content created by humans. Unfortunately, this means it is not uncommon for AI generators to learn from existing content that can include negative representations, damaging stereotypes or other harmful biases.
While most AI art generators are designed to filter out and ignore this content, it is possible that they may produce offensive artwork as an unintended result of their training data.
Another primary challenge for AI art generators involves the legality surrounding these solutions. While generating artwork through these solutions is currently legal, the use of this artwork is still under debate, with concerns over who would receive credit for the artwork’s creation.
For example, the U.S. has no copyright protections for works generated by AI art generators. In August, a federal judge in Washington, D.C., ruled that AI-created artwork is not eligible for copyright protection. This is due to the artwork’s lack of “human involvement.”
Therefore, businesses looking to take advantage of the benefits of AI art generators will want to consider the legal aspects surrounding the protection of the art generated by these solutions.
The ethics of AI art
The crux of the issue surrounding AI art generators stems from the fact that these tools are trained on existing data and thereby learn based on artists’ work found online. Current backlash indicates that the artists who created the original work did not consent to having their work utilized by these tools. With these tools gaining popularity, more and more debate has arisen regarding the ethics and legality of producing content through their use.
SEE: Check out TechRepublic Premium’s AI ethics policy.
Most AI art generation tools claim to create unique outputs. But still, the knowledge that this output is generated based on existing artwork has caused some to argue that the tools are unethical.
However, human-generated art is often inspired by existing designs, styles and works. Therefore, it is difficult to determine whether these tools are infringing on other artists’ work or whether their adoption of aspects of existing work is no different than a young artist emulating the styles of their favorite classical painters.