Practical aspects of diffusion model training on the example of YandexART

Sergey will talk about the ins and outs of training diffusion models for image generation, including data collection and architectures, training tricks and comparison of models. He will share cases of successful and not-so-successful experiments. We’ll discuss different approaches, current and future applications of diffusion models.