InfraLens - Diffuser Annotated Labs

Overview

Diffuser Annotated Code Reading Labs

Read the related handbook section first, then use the lab page and starter file to connect the concept to concrete variables, shapes, APIs, and interview-ready explanations.

Goals

How to use these labs

Read the related handbook section first, then use the lab page and starter file to connect the concept to concrete variables, shapes, APIs, and interview-ready explanations.

Read this after the Diffuser / Diffusers handbook. Then open the lab page and starter file. For each line, ask what concept it encodes and how it fits a diffusion pipeline.

Related track: DiffSynth pipeline reading.

Handbook links

Handbook-to-lab crosslink table

#	Lab	Related handbook section	Starter
01	Forward Noise Process	Forward Process vs Reverse Process	forward_noise.py
02	Denoising Step	Noise Prediction / Denoising Objective	denoising_step.py
03	Scheduler Reading	Scheduler / Sampler	scheduler_notes.md
04	CFG Code Reading	Classifier-Free Guidance	classifier_free_guidance.py
05	VAE Latent Space	VAE / Latent Diffusion	vae_latent_shapes.py
06	Diffusers Pipeline Components	Diffusers Pipeline Anatomy	pipeline_components.md
07	UNet / DiT Conditioning	UNet vs DiT	conditioning_flow.py
08	LoRA Injection Reading	LoRA / ControlNet / IP-Adapter	lora_injection.md
09	ControlNet / Conditioning Reading	LoRA / ControlNet / IP-Adapter	controlnet_flow.md
10	Memory Optimization Reading	Memory / Speed Optimizations	memory_optimization.md

Annotated reading material

Starter code directory

Every starter under labs/code/ is a compact reading artifact with teaching comments. Treat it as source of truth for the code preview.