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Inferix

Inferix Learn

Diffusion Course

Understand diffusion fundamentals and deploy image generation systems end-to-end.

Best for: Builders shipping text-to-image, image editing, and creative generation apps.

What you will cover

  • Diffusion model architecture basics
  • Inference tuning and prompt controls
  • Serving and optimization on GPU tiers

Progress and resume

0/3 chapters completed (0%)

Resume chapter: 1

Enrolled learners: 6,210

Chapter 1: Latent diffusion foundations

Chapter notes

No chapter notes are available yet.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

What does latent space primarily optimize?

Chapter 2: Prompting and generation controls

Chapter notes

No chapter notes are available yet.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

What is guidance scale used for?

Chapter 3: Serving optimized image pipelines

Chapter notes

No chapter notes are available yet.

Interactive exercise

Adjust context size and observe estimated per-request token budget.

Context chunks: 30 | Estimated tokens: 7680

Quiz

Which tactic improves first-token latency?