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Architecture

Diffusion model

decade8 connections

learn to undo noise, and you can make an image from nothing

Where it sits

The prism has six jobs across and eight layers down. Its primary cell isrepresent × L1. Hatched cells cannot exist — a GPU does not learn, an institution does not infer.

What must come first — and what it unlocks

Left to right is reading order, derived from the prerequisite_of edges. Nothing here is hand-ordered: the diagram is the graph.

nothing comes first — this is a starting pointDiffusion modelLatent diffusion

Unlocks: Latent diffusion

What kind of thing it is — and what it is made of

Examples of it: Latent diffusion.

It is made of: Denoising, Latent space, Classifier-free guidance, ControlNet.

Where to read it

The chapter that introduces it, and any chapter that uses it again.

29Noise into Imagesact 6 · The Attention Revolution53Image Modelsact 11 · Beyond Text

Where it comes from

paperDenoising Diffusion Probabilistic ModelsJonathan Ho, Ajay Jain, Pieter Abbeel · 2020
paperHigh-Resolution Image Synthesis with Latent Diffusion ModelsRobin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer · 2022

Every connection

All 8 edges touching this node, grouped by relation family — the sections above are highlights from this list. Colours match the relation families inthe atlas.

Structure · 5
has as a partDenoisingMechanism
has as a partLatent spaceProperty
has as a partClassifier-free guidanceMechanism
has as an instanceLatent diffusionArchitecture
has as a partControlNetArchitecture
Order · 1
must come beforeLatent diffusionArchitecture
Lineage · 2
is improved byDiffusion transformerArchitecture
is improved byFlow matchingMechanism

This page is a projection of one node in src/data/concepts.ts. It has no prose file of its own — 230 declared edges produce all 236 of these pages. Edit an edge and both endpoints change.