Thought we could pool a bit of information about what hardware is being used and its relative performance.
To do so, it would be easiest for you users to run this little benchmark routine.
This is how it will work.
Update Faceswap . Help menu --> Update Facewap, restart FS if needed.
Download this tiny set of random faces as your data set.
Extract it to your C:\ drive.
Start up Faceswap. There is a FSW file included you can load if you wish.
Set up a training session like this.
Use the same faces/alignments for Input A and Input B
Its a small set, already aligned. Nothing else needed.
Pick a model like original, DFL-SAE, Dfaker. Make sure the model settings are set to default.
and run it at Batch Size = 2
Let it run 1200-2000 iterations or so
Then record the EGs/sUsing that same model, find the highest batch that will run w/o crashing or giving OOM (out of memory).
Let that run for 1200-2000 iterations .
Then record the EGs/s , and Batch sizeThen post below your results like I have.
Delete the contents of C:\nonsense\NonsenseModel\
10: Now you can try it with a different model.
If I get enough results I'll make a nice spreadsheet for everyone to see with the data.
Thank you for helping with my little endeavor.