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#text-to-image

Image generation from text.

5 chapters, oldest era first: one idea traced across the books.

  1. From Noise to Image 2015–2018 Ch. 7: First Words to Pictures Text conditioning before diffusion: StackGAN, AttnGAN, and attention over words.
  2. From Noise to Image 2021 Ch. 12: DALL-E and GLIDE Discrete-token text-to-image versus text-conditioned diffusion — the fork in the road.
  3. From Noise to Image 2021–2022 Ch. 13: Latent Diffusion and Stable Diffusion Perceptual compression, cross-attention conditioning, and the open-weights detonation of August 2022.
  4. From Noise to Image 2022 Ch. 14: The Year Images Went Mainstream DALL-E 2, Imagen, Parti, and Midjourney: unCLIP, giant text encoders, cascades, and autoregression at scale.
  5. From Noise to Image 2024–2026 Ch. 20: The Current Frontier Autoregression strikes back: VAR, native multimodal generation inside LLMs, and instruction-following images.