Tips for running smoothly on Apple Silicon? #312
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Followed the GPU Acceleration tips for running smoothly of Apple Silicon, but still laggy compared to Windows versions I've seen. Running on 32GB M1 Max. |
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Replies: 9 comments 5 replies
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Same here, I'm at around 2 fps, what should I be seeing? |
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Same here, and no one is answering this question. There is no help at all with Mac :( |
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Ok... I make a wild guess: You need a lot of GPU power to run this smoothly. Apple Silicon Chips has integrated GPU which is OK for doing your work and playing some games. But there is a reason why gaming is still done a lot on PC + crazy graphic cards that have a power consumption like a hair dryer. :-) (PS: I'm a happy Mac user, but there are limitations) |
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I think it is a bug because it utilizes 0% of GPU currently. |
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I don't really have a mac to begin with to resolve the issue so we're at the mercy of the community help here. Plus there's really an advantage of having dedicated GPU. |
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same issue. looking for community support. |
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The biggest improvement on mac (tested on M2 pro) comes from this: Delete models/inswapper_128_fp16.onnx Download this model instead: Copy it to the models directory and rename it to inswapper_128_fp16.onnx Then make sure you start with coreml execution provider, like so:
Should get around 4 fps Note that this does not help you with the face_enhancer. That is a completely separate python module with it's own model and is not optimized for mac GPU. I believe it's all on CPU so you're going to get about 1 frame every few seconds if you turn it on. |
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I also have this issue on an M3 pro.
I am also experiencing about 2fps. Any further ideas on how to improve this? |
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I have the same issue with M3 Macbook Air. When looking at Activity Monitor, i see all the work is being done by the CPU. GPU is at 0%. Looks like something in the code is not properly directing it to run on the GPU. |
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I don't really have a mac to begin with to resolve the issue so we're at the mercy of the community help here. Plus there's really an advantage of having dedicated GPU.