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← Latent Diffusion to SANA

Section 0 · Lecture 1 · 1:24

welcome and course overview

section 1 intro →

0. Welcome

Free

welcome and course overview1:24

1. Latent Diffusion and Stable Diffusion

Free

section 1 intro0:18
Latent diffusion intro3:48
How latent diffusion works5:54
Two stage training6:06
VAE11:24
Unconditional LDM implementation12:18
Conditional LDM implementation11:06
Classifier free guidance4:36
CFG training implementation8:12
Sampling implementation9:06

2. Diffusion Transformers

section 2 intro0:18
DiT vs UNet4:00
DiT implementation11:06
DiT training and sampling4:18
CLIP conditioned DiT8:42
CLIP DiT sampling5:42

3. PixArt-alpha

section 3 intro0:18
PixArt and MMDiT12:36
PixArt training and sampling5:36

4. SANA

section 4 intro0:18
SANA and rectified flow10:36
SANA implementation18:48

Exploring the frontiers of AI, LLMs, and Diffusion models. Building the future, one line of code at a time.

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welcome and course overview — Latent Diffusion to SANA | SOTAAZ Blog