The console requires display DMABUF support

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I’m using libvirt to run qemu and have been trying to get GVT-G to work following this: Intel GVT-g - ArchWiki

I have a laptop with an i7-8750H CPU, Intel CoffeeLake UHD Graphics 630 iGPU and an Nvidia GeForce RTX 2060 dGPU

I managed to get it working with this:

<graphics type='spice'>
  <listen type='none'/>
  <gl enable='yes' rendernode='/dev/dri/by-path/pci-0000:00:02.0-render'/>
</graphics>
<video>
  <model type='none'/>
</video>

However I face some struggles because of the setting that makes spice not listen for any connections, because I want to use looking glass which requires spice.

So, I decided to try the nvidia dmabuf route (my dGPU is nvidia) with these settings:

<graphics type='spice' autoport='yes'>
  <listen type='address'/>
</graphics>
<graphics type='egl-headless'>
  <gl rendernode='/dev/dri/by-path/pci-0000:00:02.0-render'/>
</graphics>
<video>
  <model type='none'/>
</video>

However when I try that I get this error:

Error starting domain: internal error: qemu unexpectedly closed the monitor: 2021-10-05T13:32:34.135262Z qemu-system-x86_64: The console requires display DMABUF support.

Traceback (most recent call last):
  File "/usr/share/virt-manager/virtManager/asyncjob.py", line 65, in cb_wrapper
    callback(asyncjob, *args, **kwargs)
  File "/usr/share/virt-manager/virtManager/asyncjob.py", line 101, in tmpcb
    callback(*args, **kwargs)
  File "/usr/share/virt-manager/virtManager/object/libvirtobject.py", line 57, in newfn
    ret = fn(self, *args, **kwargs)
  File "/usr/share/virt-manager/virtManager/object/domain.py", line 1329, in startup
    self._backend.create()
  File "/usr/lib/python3.9/site-packages/libvirt.py", line 1353, in create
    raise libvirtError('virDomainCreate() failed')
libvirt.libvirtError: internal error: qemu unexpectedly closed the monitor: 2021-10-05T13:32:34.135262Z 
qemu-system-x86_64: The console requires display DMABUF support.

I do not understand why I get this error, i tried using optimus manager to set the main gpu for the host to the nvidia dgpu, but it had no effect on the issue.

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