Diffusion Models, Research, Data Science, Artificial Intelligence, Stable Diffusion.
problem. Since we made it so that at timestep T, there is absolutely no information of x₀, during training, if we go to timestep T and have our model predict what noise was added, it’ll never have any idea. Regardless of what noise was added, we will always get total noise at timestep T. So,