Series Path · 4 parts
Diffusion Models
From DDPM's foundational math through DDIM's fast sampling, latent diffusion models, and the FLUX architecture — how modern image generation actually works.
~74 min total·4 articles
Start from Part 1Curriculum — 4 parts
- 01
Denoising Diffusion Probabilistic Models
Paper: Jonathan Ho, Ajay Jain, Pieter Abbeel. Denoising Diffusion Probabilistic Models. NeurIPS 2020. arXiv: 2006.11239 · Code: hojonathanho/diffusion
16 min read - 02
Denoising Diffusion Implicit Models (DDIM): A Verbose Guide
Paper: Jiaming Song, Chenlin Meng, Stefano Ermon. Denoising Diffusion Implicit Models. ICLR 2021. arXiv:2010.02502
22 min read - 03
High-Resolution Image Synthesis with Latent Diffusion Models
A guide to Rombach et al. (2021), arXiv:2112.10752
12 min read - 04
Demystifying FLUX Architecture
A Reader’s Guide to arXiv:2507.09595v1
24 min read