AI art is created using a combination of algorithms and machine learning techniques. The process typically involves the following steps:
Data collection: A large dataset of existing art is collected and used to train an AI model. This dataset could include paintings, drawings, photographs, or other forms of visual art.
Model training: The AI model is trained on the collected dataset to learn the patterns and styles of the existing art. The model uses this information to generate new, original art.
Style transfer: A specific style or medium can be selected for the AI to use in its artwork. This is accomplished using style transfer techniques, where the AI is trained to apply the chosen style to its generated art.
Art generation: The trained AI model generates new art by combining the styles and patterns it has learned from the training dataset. The generated art can be further manipulated and refined by the AI or by a human artist.
Final output: The final AI generated art is outputted as an image, video, or other form of digital media. It can be further edited or manipulated, or used as is in a variety of contexts.
Overall, AI art is created by training an algorithm on existing art, allowing it to learn and generate new, original art in a specific style or medium.