DALL-E 2 is an artificial intelligence language model developed by OpenAI. It is an extension of the original DALL-E, which was released in January 2021. DALL-E 2 is capable of generating high-quality images from textual descriptions, similar to its predecessor, but with several enhancements that improve its ability to understand and create complex images.

The main enhancement in DALL-E 2 is the ability to generate animations from textual descriptions. This means that the model can now create sequences of images that show the evolution of an object or scene over time. For example, given the textual description "a person jumps over a hurdle," DALL-E 2 can generate a series of images that show the person running, jumping over the hurdle, and landing on the other side.

Another improvement in DALL-E 2 is its ability to generate images with higher resolution and greater detail. The original DALL-E was capable of generating images with a resolution of 512x512 pixels, but DALL-E 2 can produce images with a resolution of up to 1024x1024 pixels. This allows for more complex and detailed images, such as landscapes or cityscapes, to be generated.

DALL-E 2 also has a broader range of objects and scenes that it can generate. The model has been trained on a larger dataset of images and textual descriptions, which allows it to understand and create a wider range of objects and scenes. For example, DALL-E 2 can generate images of objects and scenes that were not present in the original DALL-E dataset, such as animals or complex machinery.

Finally, DALL-E 2 has improved its ability to handle complex textual descriptions. The model can now understand and generate images based on more complex descriptions that involve multiple objects or scenes. This makes it possible to generate more intricate and detailed images, such as a crowded city street or a complex machine with many moving parts.

Overall, DALL-E 2 represents a significant improvement in the capabilities of artificial intelligence language models for image generation. With its ability to generate animations, high-resolution images, and a wider range of objects and scenes, it has the potential to revolutionize fields such as animation, design, and advertising.