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manual installation documentation tested on Linux
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@ -322,3 +322,42 @@ Here are some common issues and their suggested solutions.
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search [Issues](https://github.com/invoke-ai/InvokeAI/issues), file
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a bug report, or ask for help on [Discord](https://discord.gg/ZmtBAhwWhy)
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4. My renders are running very slowly!
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You may have installed the wrong torch (machine learning) package,
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and the system is running on CPU rather than the GPU. To check,
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look at the log messages that appear when `invoke.py` is first
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starting up. One of the earlier lines should say `Using device type
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cuda`. On AMD systems, it will also say "cuda", and on Macintoshes,
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it should say "mps". If instead the message says it is running on
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"cpu", then you may need to install the correct torch library.
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You may be able to fix this by installing a different torch
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library. Here are the magic incantations for Conda and PIP.
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!!! todo "For CUDA systems"
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(conda)
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```bash
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conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
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```
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(pip)
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```bash
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pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu116
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```
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!!! todo "For AMD systems"
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(conda)
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```bash
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conda activate invokeai
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pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2/
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```
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(pip)
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```bash
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pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2/
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```
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More information and troubleshooting tips can be found at https://pytorch.org.
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