- Compatibility with stuff from research papers and ML compilers since it is the "de facto" SD implementation.
- The codebase is cleaner more hackable, and (compared to base SAI code) more performant.
- HF continues to put lots of work into optimization and cleanup. For instance, they ensure there are no graph breaks for torch.compile, and work with other hardware vendors for thier own SD implementations.
- The codebase is cleaner more hackable, and (compared to base SAI code) more performant.
- HF continues to put lots of work into optimization and cleanup. For instance, they ensure there are no graph breaks for torch.compile, and work with other hardware vendors for thier own SD implementations.