 the log probabilities for the predicted classes of the image at timestep t-1:   Copied p(x_{t-1} | x_t) = sum( q(x_t | x_{t-1}) * q(x_{t-1} | x_0) * p(x_0) / q(x_t | x_0) )  set_timesteps  < source > ( num_inference_steps: int device: Union = None  )   Parameters   num_inference_steps (int) —
The number of diffusion steps used when generating samples with a pre-trained model.   device (str or torch.device, optional) —
The device to which the t