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@@ -27,22 +27,22 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
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1. You need to have the conda environment manager installed on your system. If you don't have it already, [get miniconda here](https://docs.conda.io/en/latest/miniconda.html).
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-2. Open a terminal window and create a conda environment:
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+2. Open a terminal window and create a conda environment by entering the following commands:
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```
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conda create -n textgen
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conda activate textgen
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```
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-3. Install the appropriate pytorch. For NVIDIA GPUs, this should work:
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+3. Install the appropriate pytorch for your GPU. If you have an NVIDIA GPU, use this command:
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```
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conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
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```
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-For AMD GPUs, you need the ROCm version of pytorch.
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+If you have an AMD GPU, you will need the ROCm version of pytorch.
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-If you don't have a GPU and want to run the web UI in CPU mode, you just need the standard pytorch and should use this command instead:
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+If you are running in CPU mode, you just need the standard pytorch and should use this command instead:
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```
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conda install pytorch torchvision torchaudio -c pytorch
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@@ -50,13 +50,13 @@ conda install pytorch torchvision torchaudio -c pytorch
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4. Clone or download this repository, and then `cd` into its folder from your terminal window.
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-5. Install the required Python libraries:
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+5. Install the required Python libraries by running the following command:
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```
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pip install -r requirements.txt
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```
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-After these steps, you should be able to start the web UI, but first you need to download some model to load.
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+Once you have completed these steps, you should be able to start the web UI. However, you will first need to download a model.
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## Downloading models
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