The TagFX team have been working hard putting together their new digital and AI art website.

Using Midjourney AI software as well as Dall-e and stable diffusion the team has but together a blog to showcase their works.

If you are interested in using our AI generated artwork please get in touch.

Art has always been a reflection of human creativity, imagination, and emotion. However, in recent years, the art world has undergone a significant transformation due to the emergence of artificial intelligence (AI) generated art. AI-generated art refers to artwork created using machine learning algorithms, which are capable of learning from data and generating new and unique images, videos, music, and other forms of art.

The use of AI in art is not new. In fact, the first AI-generated artwork dates back to the 1960s when computer-generated graphics were first introduced. However, the recent advancements in AI technology have enabled artists to create highly complex and intricate works of art, blurring the lines between human and machine-generated art.

One of the most significant benefits of AI-generated art is that it allows artists to explore new creative possibilities that were previously not possible. With AI, artists can easily generate thousands of unique designs, patterns, and images in a matter of seconds, providing them with a vast range of options to choose from.

Moreover, AI-generated art has also opened up new avenues for collaboration between humans and machines. For instance, artists can use AI algorithms to create a basic design, which they can then modify and refine, resulting in an artwork that is a product of both human and machine creativity.

However, the use of AI in art has also raised questions about the role of machines in the creative process. Critics argue that AI-generated art lacks the emotional depth and context that human-created art possesses. They also argue that AI-generated art is not truly original since it is based on pre-existing data and algorithms.

However, proponents of AI-generated art argue that it is not about replacing human creativity but rather augmenting it. AI-generated art provides a unique opportunity to explore new creative possibilities, and the ability to generate new ideas that may not have been possible without the use of AI.

One of the most well-known examples of AI-generated art is the work of the Paris-based art collective Obvious, which used a machine learning algorithm to create a portrait that sold at Christie’s auction house for $432,500 in 2018. The portrait, titled “Portrait of Edmond de Belamy,” was generated using a Generative Adversarial Network (GAN), a type of machine learning algorithm that can create new images by learning from a large dataset.

Another example of AI-generated art is the work of Mario Klingemann, a German artist and programmer who uses machine learning algorithms to create digital art. His artwork includes everything from abstract designs to realistic portraits that are generated by algorithms based on thousands of images.

The use of AI in art has also given rise to new forms of artistic expression, such as neural art. Neural art is a form of AI-generated art that uses deep learning algorithms to create images and videos that mimic the style of famous artists such as Van Gogh, Picasso, and Monet. Neural art has become increasingly popular in recent years, with artists using it to create everything from paintings to music videos.