Word Art Generator: When AI Makes Art, Humans Supply the Creative Spark

Last Updated on September 27, 2023

The idea of using artificial intelligence to create art has been around for decades, but it’s only recently that we’re seeing the potential in this field. From robots making their pieces from scratch or based on human input to photography algorithms generating new works every day – there’s no limit when you think about what can be done with machine learning.

Artificial intelligence has been making headlines for its ability to do anything from writing books, painting pictures conversing with people on Skype, or driving cars. The future of art may be in your hands. Moreover, artificial intelligence (AI) programs and AI word art generator apps can turn sentences you type into original paintings, and now there’s an app for that. You can download these free AI art generator apps on iPhone or android devices which will allow users to create something truly one-of-a-kind with just their creation tips.

New developments and different styles are incorporating Artificial Intelligence and machine learning technologies to allow the computer more autonomy in producing images with just a text prompt. The AI art created by artists can be unique and different from what you would expect. It can range from retro to something wavy and contemporary. The algorithm follows no rules but learns aesthetics and image generator by analyzing thousands of reference images to generate new ones that adhere to its known style.

What is AI?

The field of Artificial Intelligence has been around for more than 50 years. This credits to computer scientist John McCarthy coined the term in 1955 when he knew computers could someday trick humans into thinking they were human too. 

Technology has become so advanced that it can be used for anything you need. AI software is everywhere, from Google Search to Netflix recommendations. A great way of describing this phenomenon would be through machine learning systems which have revolutionized many industries in recent years. This includes healthcare and finance where their accuracy when predicting trends or financial statements based on large sets of code and data sets was unexpectedly accurate with high levels of predictive power making them invaluable tools worth investing time into understanding how they work.

Machine learning is a branch of artificial intelligence that deals with identifying and understanding patterns in data without relying on explicitly programmed rules. This can be done through various approaches like neural networks or support vector machines.

However, they all share one key feature: an algorithm that defines how each new image input should transform into output values for performing different tasks, such as classifying images based on their characteristics. Determining whether loans will default by analyzing credit scores submitted alongside income information about both parties involved (and others), among many other examples you could find if you search online.

How AI has emerged to be creative

Professor Ahmed Elgammal’s team is changing how we think about creativity and intelligence. They created AICAN (AI Creative Adversarial Network), which was trained on 100,000 images from five centuries of Western art to show that there are many ways for machines can create beauty with minimal human input. The program was then programmed to generate distinct and original new images, with a heavy influence from previous movements. 

In an interview with Domestika, Elgammal explains how his team’s work demonstrates “the potential” offered by artificial intelligence (AI). He continues: ‘We try not only entries into what society should expect from machines but also questions around aesthetics & culture.’ The artists behind AICAN wanted to show that AI can be used as a medium for creative expression, and they specifically created the artwork to accomplish this goal. The works of AICAN werewolf into the painting, mixed with abstract expressionist masters and contemporary artists. Also, the Turing test was a huge success! The audience couldn’t tell which paintings came from humans and which ones were created by AICAN.

Additionally, the team learned something else, too. Elgammal’s colleague and the CEO of Platform—an artist’s tool developed from AICAN’s tech–Jennifer Chang tells Domestika: “A key question that kept coming up [at an art gallery] was ‘I’d like to speak with artists. The curator decided they needed someone present who could create artwork, so Ahmed stepped forward. This showed us AI can’t do everything by itself because the story is important in any kind or form; people wanted him to tell his tale.”

How do AI word art generator work?

Humans are not the only ones who can create art. Artificial intelligence also has a role in it! AI artists write algorithms that analyze thousands of images, then try to generate new ones according to what they’ve learned from these explored photos – which gives them an aesthetic all their own. This step is crucial in the process, where the artist chooses which images they want to feed their algorithm.

Generative adversarial networks (GAN) may have given rise to a new generation of “generation shift” in artificial intelligence artwork. Ian Goodfellow, a Stanford University computer scientist, introduced the world to an innovative new way of generating images called “adversarial networks.” These algorithms have been designed so that one side causes random pictures. Whereas another has been taught how much each image resembles what it’s supposed to match—a person or object, for example. The first use was announced in 2014 by IanGPS, who created this process called “Adversarially Learned Representations.” 

What if you could feed your favorite paintings from 500 years into an AI algorithm? The computer would try to imitate these input images, producing a range of output artworks. Once the artist has created an output of their work, they must sift through it all and select which pictures will be used. This is what I call “post-curation.” The artist is always at the center of their work, shaping what it will be. They are very involved with pre- and post-curation processes and tweaking algorithms if needed to get desired outputs. This project was a great way to explore what it means and why we do this work. We found that art—originality- comes from humans making choices and expressing their unique stories through the curating tools provided by society to tell these peoples’ stories on canvas or paper.

Here’s how the best AI art generators compare

You’ve likely seen them around social media, the faces, and landscapes created by artificial intelligence-powered image generators like DALL-E 2 or Midjourney. The early stages of this new platform are largely unknown, but it’s expected that a similar model will be followed in its operation in the AI art community. Moreover, the AI will generate an image art generation representing what the user inputs. For example, if they type “good morning” in Portuguese (Brazil), it could show them a picture of coffee with milk and sugar.

For instance, this comparison’s creative undertaking uses three different examples to show just how versatile these programs can be while also providing insights into their creations along the way. Surprisingly, the experiment shows very different results from each, offering an insight into how AI art generators interpret prompts. They would almost seem like human artists with individual personalities and styles if we didn’t know better. Moreover, the beauty of these programs is that each has its strengths and weaknesses, so it’s essential for artists to know which tool they’re going into. Dall-e 2 offers helpful hints on how to make the most out of this program.

Additionally, it turns out that there is a vast difference in quality regarding AI art generators. Some terrible ones put no effort into making their creativity come alive on screen for you. Others have excellent jobs creating realistic-looking pieces of artwork using magical abilities. Imagine being able to create an image of your favorite painting or replace an artist’s style with yours. Hence, the two AI text-to-image generators we can’t access yet, Google’s Imagen and OpenAI Dall e2, are impressive in their way. The most impressive is undoubted; however, they’re not ready for prime time.

Can Humans Tell the Difference?

To see how people would react to AICAN’s work, we showed them human artwork created by artists showcased at Art Basel. For each piece of art displayed on the screen in front of us for only 2 seconds each time (a quick glimpse), an open question is asked: “Is this made by a machine or a real artist?” 

In our tests, 75 percent believed an artist created the computer-generated images with natural talent – but don’t worry about your skillset because we can tell them apart too. Additionally, 25 percent thought there was no difference even when shown examples from both programs side by side (which probably means you should try using AI). Moreover, the AI-generated art was met with rave reviews from our test panel. They noted that it had a lot of visual structure and inspired them to create their work while also being communicative so others could understand what the artist wanted for this piece.

The work of AICAN has been shown in major cities worldwide, and we’re thrilled to be a part of it! We could showcase our images at venues like The Frankfurt Exhibition Centre, Los Angeles Convention Center (CA), and New York motives airport, amongst others. And the question of who the artist is has been one that we constantly hear at our exhibits.

What the Computer Can’t Do

“Alternative Facts: The Multi Faces of Untruth” is a title we gave to portraits generated by AICAN in their series that struck us with its timely serendipity. However, AICAN’s algorithm is still in its infancy and lacks social context. It can produce attractive images but doesn’t understand the artistry humans bring to their work. People, places, and politics inspire human artists. They create art to tell stories that make sense of the world for them or others alike-whether it be in a personal way like portraits. 

Suffice it to say, the future of creativity is an exciting time for artists and designers. In addition, introducing new technology such as 3D printers and laser cutters has given us access to tools we never thought possible before. It doesn’t mean these advancements will replace human workers but instead give them another creative outlet with which they can collaborate.

So Is AI Killing Artists?

AI can produce quality art, but only humans have the creativity and self-defined style to make it personal. Artists are still needed for that extra something special. AI writing tools are making it easier for anyone to create their original content, but artists have been able to add creativity and emotion. The result isn’t quite as good without human input yet – maybe in years from now, we’ll see an evolving version of this too? For now, though, artist jobs seem safe.

Come to think of it, if AI may be used to create images, the final product can still feel like art. Should artists influence their work if they are not present during its creation? Think about it this way, without these AIs being able to ingest and digest all of the artists’ work they paint for us. We wouldn’t be able to see those beautiful creations. These intelligent programs can only do what they do by learning from someone who has done something similar – which is why each AI does its best painting in a unique style based on how much information was input into them.

Key Takeaway

The idea of AI-made art has been around for decades, but only recently have people begun to take notice. Some artists see this as an opportunity to explore new mediums and boundaries while pushing our understanding forward of what we think creativity means. Others dislike how artificial intelligence could be used instrumentally without human control, making them feel less creative because their work wouldn’t come from something original. Moreover, the future will bring more complexity when creating both complexes yet controversial jobs: artwork created by computers with limited abilities may generate mixed reviews for full ownership depending on who you ask.  

Artificial Intelligence has been considered a uniquely human skill for centuries, but recent technological advances prove otherwise. Until recently, the use of artificial intelligence in creative fields was seen as a negative. However, now some believe otherwise and think this technology can help generate better results than human creators do! The area of AI is quickly becoming more accessible to those who want or need it with many new programs being created daily by machines that can not only replicate tasks usually done by people like artists and writers; they’re also capable of coming up with their original ideas.

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