DALL-E 2 is a multimodal text-to-image system that utilizes the image and text embeddings developed by the CLIP (Contrastive Language-Image Pre-training) model to generate images from textual descriptions.

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CLIP (Contrastive Language-Image Pre-training) is a multimodal model that encodes both text and images by combining the text encoding capabilities of models like GPT-2 with a vision Transformer. The resulting image and text embeddings from CLIP were later foundational to the development of the DALL-E 2 text-to-image system.

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