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@ -21,26 +21,34 @@ Its goal is to become the [AUTOMATIC1111/stable-diffusion-webui](https://github.
## Installation
1. You need to have the conda environment manager installed into your system. If you don't have it already, get it here: [miniconda download](https://docs.conda.io/en/latest/miniconda.html).
1. You need to have the conda environment manager installed into your system. If you don't have it already, [get miniconda here](https://docs.conda.io/en/latest/miniconda.html).
2. Then open a terminal window and create a conda environment:
conda create -n textgen
conda activate textgen
```
conda create -n textgen
conda activate textgen
```
3. Install the appropriate pytorch. For NVIDIA GPUs, this should work:
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
```
conda install pytorch torchvision torchaudio pytorch-cuda=11.7 -c pytorch -c nvidia
```
For AMD GPUs, you need the ROCm version of pytorch. For running exclusively on the CPU, you just need the stock pytorch and this should probably work:
conda install pytorch torchvision torchaudio -c pytorch
```
conda install pytorch torchvision torchaudio -c pytorch
```
4. Clone or download this repository, and then `cd` into its directory from your terminal window.
5. Install the required Python libraries:
pip install -r requirements.txt
```
pip install -r requirements.txt
```
After these steps, you should be able to start the webui, but first you need to download some model to load.