You're referring to AIpowered art libraries or frameworks!

There are several AIpowered art libraries and frameworks that allow developers to generate art, manipulate images, and create interactive installations、Here are some examples:

1、Deep Dream Generator: An opensource library that uses a neural network to generate surreal and dreamlike images.
2、Prisma: A popular AIpowered image processing library that transforms photos into works of art in the style of famous artists.
3、TensorFlow.js: A JavaScript library for machine learning that can be used for generating art, such as neural style transfer and generative adversarial networks (GANs).
4、PyTorch: A Python library for machine learning that can be used for generating art, such as neural style transfer and GANs.
5、Stable Diffusion: A texttoimage model that generates images based on text prompts.
6、DALLE: A texttoimage model that generates images based on text prompts.
7、Artbreeder: A platform that allows users to create and evolve original artwork using a combination of AI and user input.
8、GANbreeder: A library that allows users to breed and evolve GANs to generate new and interesting images.
9、StyleGAN: A library that allows users to generate highquality images using a stylebased GAN architecture.
10、OpenCV: A computer vision library that includes some AIpowered artrelated features, such as style transfer and image manipulation.

Some popular AI art generation techniques include:

1、Neural Style Transfer: Transfers the style of one image to another.
2、Generative Adversarial Networks (GANs): Generates new images based on a dataset of existing images.
3、Variational Autoencoders (VAEs): Generates new images by learning a probabilistic representation of a dataset.

These libraries and techniques can be used for a wide range of applications, from generating art and designs to creating interactive installations and experiences.

Do you have a specific use case or project in mind that involves AIpowered art?