paulmoon008308

This course is a hands-on masterclass that completely dissects the core technological evolution of generative AI, from LDM (Latent Diffusion Model) to DiT (Diffusion Transformer).
We directly analyze the latent space-based learning principles of LDM, the structure of Stable Diffusion, and the implementation methods of the latest Diffusion Transformer through papers and code.
Students will systematically learn the latest trends and structural evolution of generative models by directly implementing LDM, CFG (Classifier-Free Guidance), and DiT models using PyTorch.

sotaaz

From LDM to DiT, Complete Mastery of Diffusion Through Implementation II

It's incredibly rewarding as an instructor to receive such positive feedback. I hope this course serves as a practical stepping stone in understanding the expansion of Diffusion models. Please feel free to ask questions anytime you get stuck while studying!

트랜스포머

실습 중심

생성형ai

stablediffusion

この講義は、LDM（Latent Diffusion Model）からDiT（Diffusion Transformer）まで、生成AIの核心技術発展を完全解剖する実戦型マスタークラスです。
LDMの潜在空間ベース学習原理とStable Diffusionの構造、そして最新のDiffusion Transformerの実装方式を論文とコードで直接分析します。
受講生はPyTorchベースでLDM、CFG（Classifier-Free Guidance）、DiTモデルを直接実装し、生成モデルの最新トレンドと構造的進化を体系的に習得します。