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SmoothVideo Project → Using SVP → New RIFE filter - 3x faster AI interpolation possible in SVP!!!
How can I test R70 vapoursynth instead of R64 provided for svp, and you have plan to updated ? I dunno if there a real benefit but a think so many things fix/changed on it , that a like to try it. So if someone get me pointers , it will be very appreciated.
> I dunno if there a real benefit
nope
> How can I test R70 vapoursynth
put portable release into SVP 4/mpv64
> I dunno if there a real benefit
nope
> How can I test R70 vapoursynth
put portable release into SVP 4/mpv64
Thanks for respond, which file do a put into mpv64 folder, if copy the entire folder i get unable to initialize vapoursynth api 4.0 error
all files
dunno which Python version it wants, probably you have to replace portable Python too
all files
dunno which Python version it wants, probably you have to replace portable Python too
Thanks, I think better leave like it is, wait until you decided update on the future.
For those interesting Model 4.26_heavy its out , for me at least don't work as well as 4.25, maybe for those with 4090 will.
4.26_heavy its out
These files should allow SVP to find files ending with "_large.onnx".
Does changing these as suggested in vsmlrt.py make sense for RTX 40XX gpus?
If yes... which numbers are recommended for 'Streams' and 'Workspace'?
any other recommendations for the other parameters?
Does changing these as suggested in vsmlrt.py make sense for RTX 40XX gpus?
If yes... which numbers are recommended for 'Streams' and 'Workspace'?
any other recommendations for the other parameters?
What changes?
narkohol wrote:Does changing these as suggested in vsmlrt.py make sense for RTX 40XX gpus?
If yes... which numbers are recommended for 'Streams' and 'Workspace'?
any other recommendations for the other parameters?
What changes?
Those specified in that header as 'basic performance tuning':
set fp16 = True (on RTX GPUs)
increase num_streams
increase workspace
set use_cuda_graph = True
That by default are:
fp16: bool = False
num_streams: int = 1
workspace: typing.Optional[int] = None
use_cuda_graph: bool = False
num_streams comes from the RIFE profile
force_fp16 = True, tf32 = True, use_cuda_graph = True
come from helpers.py
num_streams comes from the RIFE profile
force_fp16 = True, tf32 = True, use_cuda_graph = True
come from helpers.py
What about 'Workspace'?
vsmlrt.py 'performance tuning' header says "increase workspace", but in helpers.py it is set to backend.workspace = None
Chainik wrote:num_streams comes from the RIFE profile
force_fp16 = True, tf32 = True, use_cuda_graph = True
come from helpers.pyWhat about 'Workspace'?
vsmlrt.py 'performance tuning' header says "increase workspace", but in helpers.py it is set to backend.workspace = None
"The maximum workspace is set to None for the total memory size of the GPU."
none is the best
SmoothVideo Project → Using SVP → New RIFE filter - 3x faster AI interpolation possible in SVP!!!
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