About installing nvidia driver black screen

Oh you right, i just read Dell and Inspiron and was thinking that’s maybe a Laptop. :sweat_smile:

Anyway the problem is when I install the nvidia driver and after I reboot I can see the error failed load kernel module and I can’t use tty

You can also change this in Live Boot (Manjaro Bootstick).

You can open a Terminal from there and type:

manjaro-chroot -a

With that you have a connection to your install.

Yes, I can only uninstall the nvidia driver through live boot to restore it to normal

I don’t understand, you can install or remove drivers with chroot from Environment Live Boot.

I installed the driver in my system

reboot 
Error fail to load kernel module

I will use live boot to uninstall the driver and resume normal use I want to know how to install the driver correctly

I would normally use the GUI (Graphics User Interface) to switch between your GPU driver’s. This is more user friendly:

(with KDE:)
Taskbar>Settings>Manjaro Settings Manager>Hardware Configuration.

Normally you had no problem’s when you fresh install with (only) your single iGPU connected.

Manjaro would run out of the box this way.

I have no idea how to install your (Intel) iGPU from CLI, maybe another user can help you with that :frowning:

You probably have this error now, because the Kernel is still connected to your nvidia GPU driver.

At this point i can only guessing and i would probably reinstall the Kernel after the GPU driver switch. At least i see always a connection when i see a Kernel update with a nvidia gpu driver.

But this is to advanced for me.
:man_shrugging:

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Thank you I will try more methods

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This tutorial helped me alot. (Make sure no errors when sudo mkinitcpio -P)

linux66

linux66-nvidia

linux66-headers

Make sure these packages are installed.

I would recommend disable your iGPU too.

At least disable iGPU or GPU, which ever the user wants and since the nvidia GT730 is this old that it works only with Legacy driver’s or nouveau… i think its the best way to use iGPU, but maybe it depends on the use case. :thinking:

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