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The DALL-E 2 model is a deep learning model that can generate images based on text. It uses a neural network model called Clip to match images to their corresponding captions. The model has two options for the prior, the auto regressive prior and the diffusion prior. The diffusion prior works better for the model. An example is shared in the paper to demonstrate the difference between passing the caption directly to the decoder and using the prior.
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