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Unify installation instructions with nvidia installation page

ClashSAN 2023-07-01 00:09:09 -04:00
parent f13aa5cc87
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Install-and-Run-on-AMD-GPUs.md

@ -26,14 +26,25 @@ If you have 4-6gb vram, try adding these flags to `webui-user.bat` like so:
(As of [1/15/23](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/6709) you can just run webui-user.sh and pytorch+rocm should be automatically installed for you.)
1. Install Python 3.10.6
2. git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
3. Place stable diffusion checkpoint (model.ckpt) in the models/Stable-diffusion directory
4. For many AMD gpus you MUST Add `--precision full` `--no-half` to `COMMANDLINE_ARGS=` in **webui-user.sh** to avoid black squares or crashing.*
5. Run **webui.sh**
Enter these commands, which will install webui to your current directory:
*Certain cards like the Radeon RX 6000 Series and the RX 500 Series will function normally without the option `--precision full --no-half`, saving plenty of vram. (noted [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/5468).)
```
sudo apt install git python3.10 python3.10-venv -y
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui && cd https://github.com/AUTOMATIC1111/stable-diffusion-webui
python3.10 -m venv venv
```
Install and run with:
./webui.sh {your_arguments*}
*For many AMD gpus you MUST Add `--precision full --no-half` OR just `--upcast-sampling` arguments to avoid NaN errors or crashing.
If `--upcast-sampling` works as a fix with your card, you should have 2x speed (fp16) compared to running in full precision.
Some cards like the Radeon RX 6000 Series and the RX 500 Series will already run fp16 perfectly fine (noted [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/5468).)
-If your card is unable to run SD with the latest pytorch+rocm core package, you can try installing previous versions, by following a more manual installation guide below.
# Running natively