There are several AI tools that can be used to create images. Some examples include:

Generative Adversarial Networks (GANs): GANs are a type of deep learning model that can be used to generate new images from a dataset of existing images. They consist of two neural networks, a generator and a discriminator, that work together to create new images that are similar to the ones in the dataset.

Style transfer: Style transfer is a technique that uses deep learning to transfer the style of one image onto another image. This can be used to create a new image that combines the content of one image with the style of another.

pix2pix: Pix2pix is an image-to-image translation model that can be used to generate new images from a set of input images. It uses a type of GAN architecture to generate images that are similar to the input images but with certain features added or removed.

Deep Dream: Deep Dream is a technique that uses neural networks to generate new images based on an input image. It is based on the idea of using neural networks to "amplify" features within an image, resulting in a dreamlike or abstract output.

DALL-E: DALL-E is an AI model created by OpenAI that can generate images from text descriptions, DALL-E can understand words, phrases and generate images that match with it.

These are some examples of AI tools that can be used to create images. The specific tool used will depend on the desired outcome and the type of image being generated.