Manga and anime-style art is a popular category of AI-generated artwork that can be created using various deep learning models. AI-generated manga art often mimics the visual style of traditional manga and anime, with its characteristic use of bold lines, vibrant colors, and exaggerated features.

One of the most popular techniques used to generate manga-style art is style transfer. This involves training a deep learning model on a large dataset of manga or anime images, and then using the model to transfer the style of those images to a new image.

Style transfer works by separating the content and style of an image. The content of the image refers to its underlying structure, while the style refers to its visual appearance. The model is trained to separate the content and style of the original images, and then apply the style of a given manga or anime image to a new image, while preserving its original content.

Another popular technique used to generate manga-style art is generative adversarial networks (GANs). GANs can generate new images that have the same visual style as the training dataset. During training, the generator network learns to produce new images that look similar to the original manga and anime images, while the discriminator network learns to distinguish between the real and fake images. Over time, the generator becomes more adept at creating new manga-style art that is increasingly realistic.

Once the deep learning model has been trained, it can be used to create new manga-style art by inputting a new image and applying the learned style. The artist can adjust various parameters of the model to produce different styles and effects, such as adjusting the color palette or line thickness.

AI-generated manga and anime-style art can be used in a variety of contexts, such as creating illustrations for books, comics, or video games. It can also be used to produce fan art or as a creative outlet for artists looking to explore new artistic styles.