Reading Notes

Notes and summaries from reading ML/AI papers (and some blog posts). All credit to the content in the papers and blog posts goes to the original authors.

Unraveling MMDiT Blocks: Training-free Analysis and Enhancement of Text-conditioned Diffusion

scaling text embeddings for Image Editing

2 min read · February 14, 2026

2026 · distillation
Stable Flow: Vital Layers for Training-Free Image Editing

Vital Layers for Image Editing

2 min read · February 13, 2026

2026 · distillation
Localizing Knowledge in Diffusion Transformers

Localizing Knowledge in DiTs

2 min read · February 13, 2026

2026 · distillation
Tutorial on Diffusion Models for Imaging and Vision

Tutorial on diffusion models

1 min read · February 12, 2026

2026 · partial-read · distillation
Learning to Discover at Test Time

TTT-Discover

4 min read · February 11, 2026

2026 · distillation