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Stanford CME296 Diffusion and Large Vision Models | Spring 2026 | Lecture 6 - Model Training
Learn more details about this course: https://online.stanford.edu/courses/cme296-diffusion-and-large-vision-modelsTo follow along with the course schedule and syllabus, visit: https://cme296.stanford.edu/syllabus/Chapters:00:00:00 Introduction00:07:45 Training lifecycle overview00:10:39 Loss parameterization00:16:08 Timestep sampling00:22:27 Logit normal distribution00:25:44 Sampling shift for different resolutions00:43:56 Representation alignment (REPA)00:49:21 Pre-training00:52:46 Continued training (CT)00:54:02 Supervised finetuning (SFT)00:54:39 Preference tuning00:56:48 Reward feedback…
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