Anyone have experience with StableDiffusion on Linux with AMD and NVIDIA?

yes, mine are similar. I used to run kde plasma while generating but plasma took too much vram, so now im using icewm. I noticed that the crashes happen when something needed vram when its already all used, so thats why icewm reduces crashes, since its very light on resources.

the reset situation may improve in the not too distant future: https://www.phoronix.com/news/AMDGPU-Per-Ring-Resets

That seems strange. Perhaps you should stress-test your GPU/system to see if it's a hardware problem.

Assume I'm an amature and bad at this ;P

In any case you might try a docker-compose.yml

version: "3.8"
# Compose file build variables set in .env
services:
  supervisor:
    platform: linux/amd64
    build:
      context: ./build
      args:
        PYTHON_VERSION: ${PYTHON_VERSION:-3.10}
        PYTORCH_VERSION: ${PYTORCH_VERSION:-2.2.2}
        WEBUI_TAG: ${WEBUI_TAG:-}
        IMAGE_BASE: ${IMAGE_BASE:-ghcr.io/ai-dock/python:${PYTHON_VERSION:-3.10}-cuda-11.8.0-base-22.04}
      tags:
        - "ghcr.io/ai-dock/stable-diffusion-webui:${IMAGE_TAG:-cuda-11.8.0-base-22.04}"
        
    image: ghcr.io/ai-dock/stable-diffusion-webui:${IMAGE_TAG:-cuda-11.8.0-base-22.04}
    
    devices:
      - "/dev/dri:/dev/dri"
      # For AMD GPU
      #- "/dev/kfd:/dev/kfd"
    
    volumes:
      # Workspace
      - ./workspace:${WORKSPACE:-/workspace/}:rshared
      # You can share /workspace/storage with other non-WEBUI containers. See README
      #- /path/to/common_storage:${WORKSPACE:-/workspace/}storage/:rshared
      # Will echo to root-owned authorized_keys file;
      # Avoids changing local file owner
      - ./config/authorized_keys:/root/.ssh/authorized_keys_mount
      - ./config/provisioning/default.sh:/opt/ai-dock/bin/provisioning.sh
    
    ports:
        # SSH available on host machine port 2222 to avoid conflict. Change to suit
        - ${SSH_PORT_HOST:-2222}:${SSH_PORT_LOCAL:-22}
        # Caddy port for service portal
        - ${SERVICEPORTAL_PORT_HOST:-1111}:${SERVICEPORTAL_PORT_HOST:-1111}
        # WEBUI web interface
        - ${WEBUI_PORT_HOST:-7860}:${WEBUI_PORT_HOST:-7860}
        # Jupyter server
        - ${JUPYTER_PORT_HOST:-8888}:${JUPYTER_PORT_HOST:-8888}
        # Syncthing
        - ${SYNCTHING_UI_PORT_HOST:-8384}:${SYNCTHING_UI_PORT_HOST:-8384}
        - ${SYNCTHING_TRANSPORT_PORT_HOST:-22999}:${SYNCTHING_TRANSPORT_PORT_HOST:-22999}
   
    environment:
        # Don't enclose values in quotes
        - DIRECT_ADDRESS=${DIRECT_ADDRESS:-127.0.0.1}
        - DIRECT_ADDRESS_GET_WAN=${DIRECT_ADDRESS_GET_WAN:-false}
        - WORKSPACE=${WORKSPACE:-/workspace}
        - WORKSPACE_SYNC=${WORKSPACE_SYNC:-false}
        - CF_TUNNEL_TOKEN=${CF_TUNNEL_TOKEN:-}
        - CF_QUICK_TUNNELS=${CF_QUICK_TUNNELS:-true}
        - WEB_ENABLE_AUTH=${WEB_ENABLE_AUTH:-true}
        - WEB_USER=${WEB_USER:-user}
        - WEB_PASSWORD=${WEB_PASSWORD:-password}
        - SSH_PORT_HOST=${SSH_PORT_HOST:-2222}
        - SSH_PORT_LOCAL=${SSH_PORT_LOCAL:-22}
        - SERVICEPORTAL_PORT_HOST=${SERVICEPORTAL_PORT_HOST:-1111}
        - SERVICEPORTAL_METRICS_PORT=${SERVICEPORTAL_METRICS_PORT:-21111}
        - SERVICEPORTAL_URL=${SERVICEPORTAL_URL:-}
        - WEBUI_BRANCH=${WEBUI_BRANCH:-}
        - WEBUI_FLAGS=${WEBUI_FLAGS:-}
        - WEBUI_PORT_HOST=${WEBUI_PORT_HOST:-7860}
        - WEBUI_PORT_LOCAL=${WEBUI_PORT_LOCAL:-17860}
        - WEBUI_METRICS_PORT=${WEBUI_METRICS_PORT:-27860}
        - WEBUI_URL=${WEBUI_URL:-}
        - JUPYTER_PORT_HOST=${JUPYTER_PORT_HOST:-8888}
        - JUPYTER_METRICS_PORT=${JUPYTER_METRICS_PORT:-28888}
        - JUPYTER_URL=${JUPYTER_URL:-}
        - SERVERLESS=${SERVERLESS:-false}
        - SYNCTHING_UI_PORT_HOST=${SYNCTHING_UI_PORT_HOST:-8384}
        - SYNCTHING_TRANSPORT_PORT_HOST=${SYNCTHING_TRANSPORT_PORT_HOST:-22999}
        - SYNCTHING_URL=${SYNCTHING_URL:-}
        #- PROVISIONING_SCRIPT=${PROVISIONING_SCRIPT:-}

install.sh

sudo pacman -S docker
sudo pacman -S docker-compose

update.sh

#!/bin/bash
# https://stackoverflow.com/questions/49316462/how-to-update-existing-images-with-docker-compose

sudo docker-compose pull
sudo docker-compose up --force-recreate --build -d
sudo docker image prune -f

start.sh

#!/bin/bash
sudo docker-compose down --remove-orphans && sudo docker-compose up

Thank you!! I may rely on this heavily. Too many different drivers to try willy-nilly. I am in the process of attempting with this guide/driver for now. Will report back with my luck or misfortunes https://hub.tcno.co/ai/stable-diffusion/automatic1111-fast/

version for whatever reason. Does anyone know the current best nvidia driver for

No.

As I said, you're trying to distill people's profession into an easy to digest guide about "make it work". Nothin like that exists.

Same way you can't just get a job doing "doctor stuff", or "build junk".