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// ✦ Diffusion, Flow Matching & Generative Models

DDIM

Makes diffusion sampling deterministic, cutting steps from ~1000 to tens.

DDIM 快速采样 2020 Intermediate extended

Original paper ↓ What to learn first →

IN PLAIN WORDS

Without retraining, a non-Markovian reverse process allows skipping steps and inverting images back to noise for editing.

Used in: Stable Diffusion samplers

TIMELINE · prerequisites → this → what builds on it

2020 Denoising Dif…2020 DDIM2023 Consistency M…

01Original paper

Denoising Diffusion Implicit Models

Jiaming Song, Chenlin Meng, Stefano Ermon · 2020

arXiv ↗ ✓ Verified · arXiv API

02Where it sits

Learn the left column first; the right column builds on this one.

Learn first

DDIM

Then you can learn

Denoising Diffu…Consistency Mod… DDIM

Left: prerequisites · right: builds on this · dashed: related. Full map →

03Learning resources

Official docs, explainers, courses and reference code. All links checked.

Official docs

Explainers

04Where the course teaches it

U72 Diffusion, Flow Matching & Image Generation VAE/GAN, DDPM/DDIM, score SDEs, latent diffusion, CFG, DiT, flow matching and ControlNet. 14 h15 algorithms6 papers
For AI / data

Data updated: AI algorithms & curriculum(UTC+8)