AI Model Training

Daniel discusses the advantages of separating the encoder from the diffusion model, allowing for versatile downstream tasks. The model was trained on a vast dataset, making it accessible compared to other high-cost models. The training process involved distinct phases, ensuring the capture of human semantics in the diffusion model.