v1.1 (Release Candidate 1)

API Updates:

• Add SDE configurations in configs package
• Introducing build function to build non-timed wrapped UNet
• Introducing managers.Manager, one manager for all separated nn.DiffusionModule
• Introducing nn.diffusion.FastSamplingDiffusionModule
• Introducing nn.LatentMode for nn.LatentDiffusionModule to encode, decode, or forward
• Introducing sde.SDEType to load SDEs in default settings.
• Introducing the separated nn.DDPM and nn.LatentDiffusionModule
• Introducing the separated nn.DiffusionModule for separated diffusion process into PyTorch module
• Introducing the separated nn.SDEModule
• Multi-GPUs support for nn.DiffusionModule
• Parsing additional arguments when forwarding in nn.diffusion.LatentDiffusionModule
• The new separated nn.DiffusionModule no longer need a nn.TimedModule, but a normal torch.nn.Module instead for better compatibility on other unets
• Use prior_sampling in SDE instead of direct randomize when adding noises.

Other updates:

• Compatibility for non-wrapped models improved
• Minor bugs fixed
• Typing improvement

Release candidate updates:

• Add forward diffusion control in train_step and test_step function