> 完全按照这里说的做所有事情:[https](https://github.com/neuralchen/SimSwap/blob/main/docs/guidance/preparation.md) : [//github.com/neuralchen/SimSwap/blob/main/docs/guidance/preparation.md](https://github.com/neuralchen/SimSwap/blob/main/docs/guidance/preparation.md)
no GPU How do you use it? cpu
We expect users to have GPU with at least 3G memory. For those who do not, we provide [Colab Notebook implementation].
> no GPU How do you use it? cpu
At the end of the link provided by ftaker887:
> We expect users to have GPU with at least 3G memory. For those who do not, we provide [Colab Notebook implementation].
Just make a few changes and you can run without GPU. No NVIDIA card required or any card, just 3Gb RAM (or less) and any processor, you should build or find CPU-compatible dependencies
> no GPU How do you use it? cpu
Just make a few changes and you can run without GPU. No NVIDIA card required or any card, just 3Gb RAM (or less) and any processor, you should build or find CPU-compatible dependencies
Then place this powershell script in SimSwap directory and run.
Script makes SimSwap CPU-compatible.
> Torch not compiled with CUDA enabled 这
If you don't have compatible GPU, just use CPU. Install dependencies:
`conda create -n simswap python=3.6`
`conda activate simswap`
`conda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cpuonly -c pytorch`
`pip install --ignore-installed imageio`
`pip install insightface==0.2.1 onnxruntime moviepy`
Then place [this powershell script](https://pastebin.com/y1FxV8jA) in SimSwap directory and run.
Script makes SimSwap CPU-compatible.
2Gb Nvidia GPU working for me.
CPU will be sloooooow...
Yes, GPU backend is much better. But Windows users with AMD and Intel cards has no other choice. AMD cards runs in PyTorch with ROCm (Linux only). Colab usage only with quota limits. Kaggle-way cause an instant ban of profile.
>
>
> 2Gb Nvidia GPU working for me.
> CPU will be sloooooow...
Yes, GPU backend is much better. But Windows users with AMD and Intel cards has no other choice. AMD cards runs in PyTorch with ROCm (Linux only). Colab usage only with quota limits. Kaggle-way cause an instant ban of profile.
@andrewrush can you reupload the powershell script, the link seems to be dead
Also To the maintainers, an adjustment to the documentation, that these paths exist would be nice
@andrewrush can you reupload the powershell script, the link seems to be dead
Also To the maintainers, an adjustment to the documentation, that these paths exist would be nice
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Torch not compiled with CUDA enabled 这
Do everything exactly as it says here: https://github.com/neuralchen/SimSwap/blob/main/docs/guidance/preparation.md
no GPU How do you use it? cpu
no GPU How do you use it? cpu
At the end of the link provided by ftaker887:
Just make a few changes and you can run without GPU. No NVIDIA card required or any card, just 3Gb RAM (or less) and any processor, you should build or find CPU-compatible dependencies
2Gb Nvidia GPU working for me.
CPU will be sloooooow...
If you don't have compatible GPU, just use CPU. Install dependencies:
conda create -n simswap python=3.6conda activate simswapconda install pytorch==1.8.0 torchvision==0.9.0 torchaudio==0.8.0 cpuonly -c pytorchpip install --ignore-installed imageiopip install insightface==0.2.1 onnxruntime moviepyThen place this powershell script in SimSwap directory and run.
Script makes SimSwap CPU-compatible.
Yes, GPU backend is much better. But Windows users with AMD and Intel cards has no other choice. AMD cards runs in PyTorch with ROCm (Linux only). Colab usage only with quota limits. Kaggle-way cause an instant ban of profile.
@andrewrush can you reupload the powershell script, the link seems to be dead
Also To the maintainers, an adjustment to the documentation, that these paths exist would be nice
The link works fine here.
Ahh Adblocker was getting in my way..
Thanks @andrewrush! I could finally make it work! You are a king 😀