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Hide details in linux installation for easier reading

ClashSAN 2023-07-01 00:22:20 -04:00
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Install-and-Run-on-AMD-GPUs.md

@ -24,10 +24,10 @@ If you have 4-6gb vram, try adding these flags to `webui-user.bat` like so:
# Automatic Installation
(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.)
<sup>(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.)</sup>
Enter these commands, which will install webui to your current directory:
1. Enter these commands, which will install webui to your current directory:
```
sudo apt install git python3.10 python3.10-venv -y
@ -35,16 +35,21 @@ git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui && cd https://
python3.10 -m venv venv
```
Install and run with:
2. 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).)
<details>
- 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.
</details>
-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