diffusers/pr_14178/en/api/schedulers/lms_discrete.md

LMSDiscreteScheduler

LMSDiscreteScheduler is a linear multistep scheduler for discrete beta schedules. The scheduler is ported from and created by Katherine Crowson, and the original implementation can be found at crowsonkb/k-diffusion.

LMSDiscreteScheduler[[diffusers.LMSDiscreteScheduler]]

LMSDiscreteSchedulerOutput[[diffusers.schedulers.scheduling_lms_discrete.LMSDiscreteSchedulerOutput]]

• prev_sample (torch.Tensor of shape (batch_size, num_channels, height, width) for images) -- Computed sample (x_{t-1}) of previous timestep. prev_sample should be used as next model input in the denoising loop.
• pred_original_sample (torch.Tensor of shape (batch_size, num_channels, height, width) for images) -- The predicted denoised sample (x_{0}) based on the model output from the current timestep. pred_original_sample can be used to preview progress or for guidance.

Output class for the scheduler's step function output.