A language model generates text as a sequence. In min-DALL-E, the sequence-generation pattern is used to produce image tokens instead: a text prompt is tokenized and encoded, then a BART decoder predicts 256 image tokens autoregressively. A VQGAN decoder turns those tokens into an image. section 12.1.2
Figure 12.3 The image generation process in min-DALL-E to generate an image from a text prompt
Follow the path from text prompt to generated image. section 12.1.2


































































