How does DALL.E 2 differ from its predecessor DALL.E in terms of capabilities?

DALL.E 2 differs from its predecessor by using a diffusion model and CLIP embeddings to generate images, allowing for more accurate and diverse outputs. It also introduces capabilities like image editing and variation generation, which were not present in the original DALL.E.

DALL.E 2 enhances its capabilities over the original DALL.E by incorporating a diffusion model that uses CLIP embeddings to condition the image generation process. This approach allows DALL.E 2 to create more realistic and diverse images by gradually transforming random noise into a coherent image embedding. Additionally, DALL.E 2 can generate variations of existing images by leveraging the CLIP image encoder to obtain image embeddings, a feature not available in the original DALL.E. The use of CLIP embeddings also enables DALL.E 2 to perform image editing tasks, providing a broader range of functionalities compared to its predecessor.