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@Tps-F Tps-F commented Feb 17, 2024

To be able to work with mps devices
mpsデバイスで動作ができるように

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@Tps-F Tps-F marked this pull request as ready for review February 17, 2024 14:39
@Tps-F
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Tps-F commented Feb 17, 2024

Benchmark results on m1 macbook air

Average time: 4233.89050291ms
Average FPS: 0.23618938640777057
Max FPS: 0.2696536167593899
Min FPS: 0.16658852853947326
Std: 0.023981565291716123

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Tps-F commented Feb 18, 2024

Should I make the demo work on mps too?

@Hugofgx9
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Hugofgx9 commented Mar 3, 2024

Hey @Tps-F, I'm interesting by your pr. Could you explain how to install and use it on mps ?

@cumulo-autumn
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@Tps-F
Hi, sorry for the late reply. The implementation for mps devices looks very interesting! We're quite busy this week and cannot review your code at the moment, but I'll make sure to review your pull request (PR) next week. Thank you so much!

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Tps-F commented Mar 4, 2024

@Hugofgx9 Thanks for your interest!

xformer doesn't support mps, so don't install it, just follow the instructions in the readme.
To install pytorch, choose the one that fits your environment from here
https://pytorch.org/

I'll add a more detailed guide to the PR later.

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Tps-F commented Mar 4, 2024

@cumulo-autumn
Thank you for stopping by and taking time out of your busy schedule!
I may make a few more changes, so I'll have it done by next week.

@Hugofgx9
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Hugofgx9 commented Mar 4, 2024

@Tps-F Thanks for your work and explanations

dotsimulate pushed a commit to dotsimulate/StreamDiffusion that referenced this pull request Sep 22, 2025
…et-device-mismatch

fix temporalnet device mismatch
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3 participants