- Output better prediction of xstart from eps - Support LossAwareSampler - Support AdamW
- Report variational loss separately - Report model prediction from injector - Log these things - Use respacing like guided diffusion
Adds support for GD models, courtesy of some maths from openai. Also: - Fixes requirement for eval{} even when it isn't being used - Adds support for denormalizing an imagenet norm