RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.

Kiteretsu77 / APISR

APISR: Anime Production Inspired Real-World Anime Super-Resolution (CVPR 2024)

GNU General Public License v3.0

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RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. #11

Open dnvs opened 7 months ago

dnvs commented 7 months ago

hope support mac ...

Kiteretsu77 commented 7 months ago

Thanks for the report! I will try my best to add a feature to be capable of doing inference on CPU-only devices. Meanwhile, in ComfyUI-APISR, they have provided a way to use the CPU. However, this repo is in Chinese. You can have a look at that and it may be possible that it is adaptive to Mac. Another solution is to use the colab provided to use free account credit from Google to do inference online. Thanks!

alexaex commented 6 months ago

I have resolved this issue. You just need to add a few lines of code like the screenshots. I've tried this and I'm able to successfully run the inference on a MacBook Air M2.