An AI art generator is a program or system that uses artificial intelligence algorithms to create original artwork. This can include a wide range of media, such as digital images, videos, and even music. The algorithms used by AI art generators can vary, but they often include techniques such as machine learning, neural networks, and generative models. Some popular AI art generators include DeepDream, DALL-E, and Generative Pre-trained Transformer 3 (GPT-3). This list of ten AI art generators with description, pros and cons have been curated by Workalibur with chatGPT assistance.

DeepDream – AI art generator

Developed by Google, DeepDream is an AI art generator that uses a convolutional neural network to analyze and manipulate images. Features include the ability to add dreamlike elements to existing images, such as surreal patterns and shapes. Prominent example prompt is «Dreamify» images by applying a set of pre-defined neural network layers. Pros: Able to generate unique and interesting visual effects, Cons: It is computationally intensive and can be difficult to control the output.

DALL-E – AI art generator

Developed by OpenAI, DALL-E is an AI art generator that uses a transformer-based neural network to generate images from text prompts. Features include the ability to generate original images from textual descriptions, such as «a two-story pink house with a white fence.» Prominent example prompt is «generate a picture of a dog riding a skateboard» Pros: Able to generate highly detailed images, Cons: The model is large, and thus it requires a lot of computational power.

Prisma – AI art generator

Prisma is an AI art generator app that uses a combination of neural networks and style transfer to transform images into the style of famous artworks. Features include the ability to apply the styles of over 80 artists, such as Van Gogh and Picasso, to personal photographs. Prominent example prompt is «Convert a picture into the style of Van Gogh». Pros: Able to quickly and easily apply recognizable art styles to personal images, Cons: The output may lack originality and can be seen as a form of «cheating» in art creation.

Generative Adversarial Network (GAN) – AI art generator

GAN is a type of AI model that is often used to generate art and images. GANs consist of two neural networks, one that generates images and another that evaluates them. Features include the ability to generate highly realistic images, such as photographs of people and animals. Prominent example prompt is «Generate an image of a realistic human face» Pros: Able to generate highly realistic images, Cons: GANs can be difficult to train and may require significant computational resources.

Neural Style Transfer – AI art generator

Neural Style Transfer is a technique that uses neural networks to transfer the style of one image to the content of another. Features include the ability to combine the content of one image with the style of another to create a unique new image. Prominent example prompt is «Combine the content of a picture of a dog with the style of Starry Night by Van Gogh» Pros: Able to create unique, stylized images, Cons: The output may be less realistic compared to GANs.

Artisto – AI art generator

Artisto is an AI art generator that uses neural networks to stylize videos. Features include the ability to apply different styles, such as Impressionism and Pop Art, to live or recorded videos. Prominent example prompt is «Convert a video of nature into the style of Monet» Pros: Able to quickly and easily apply recognizable art styles to videos, Cons: The output may lack originality and can be seen as a form of «cheating» in art creation.

Neural Doodles – AI art generator

Neural Doodles is an AI art generator that uses neural networks to generate new images based on a user-provided sketch or doodle. Features include the ability to generate new images that closely resemble the user’s original sketch, with added details and variations. Prominent example prompt is «Create an image of a dragon based on a simple sketch» Pros: Able to generate new images based on user input, Cons: The output may lack originality, and the model is limited to the user’s drawing skill.

Pikazo App – AI art generator

Pikazo is an AI art generator app that uses neural networks to stylize images in the style of famous artists. Features include the ability to apply the styles of over 30 artists, such as Monet and Picasso, to personal photographs. Prominent example prompt is «Convert a picture into the style of Monet» Pros: Able to quickly and easily apply recognizable art styles to personal images, Cons: The output may lack originality and can be seen as a form of «cheating» in art creation.

AICAN – AI art generator

AICAN is an AI art generator that uses machine learning algorithms to generate new images and videos. Features include the ability to generate new images and videos based on a given set of images or videos, with added variations and details. Prominent example prompt is «Create a new image of a landscape based on a set of pictures of nature» Pros: Able to generate new images and videos, Cons: The output may lack originality and the model might require a large dataset to generate good quality results.

Ostagram – AI art generator

Ostagram is an AI art generator that uses neural networks to stylize images in the style of famous Instagram filters. Features include the ability to apply popular Instagram filters, such as «Clarendon» and «Valencia,» to personal photographs. Prominent example prompt is «Convert a picture into the style of the Clarendon Instagram filter» Pros: Able to quickly and easily apply popular Instagram filters to personal images, Cons: The output may lack originality and can be seen as a form of «cheating» in art creation.

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