a good practice to run the evaluation across different seeds and inference steps, and then report an average result.
FID results tend to be fragile as they depend on a lot of factors:
The specific Inception model used during computation.
The implementation accuracy of the computation.
The image format (not the same if we start from PNGs vs JPGs).
Keeping that in mind, FID is often most useful when comparing similar runs, but it is
hard to repro