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Updated recent Intel and Nvidia drivers.
Intel UHD Graphics 620. Nvidia MX130
Normally, I use nvidia gpu on my laptop but since it only has 2gb vram so, it is very slow using SD WebUI Forge because it has to keep offloading. I tried using directml on Intel iGPU and it produces error. I don't know much about programming so i can't solve it on my own. Tried every cross attention it doesn't work.
I am trying to iGPU because i have more ram so model doesn't have to offload and maybe see if it is much faster than using my laptop's nvidia gpu.
Thank you
The text was updated successfully, but these errors were encountered:
first off dont use invoke on igpu, use DOGGETIX isntead, then, edit the requirements.txt and change to the correct version of the transformers=4.25.1 then edit the webui-user.bat and add top the command arguments, --use-directml, let me know if it works,
if somehow it loads, go the settings - optimizations and change it to DOGGETIX
Edit: Deleted everything and disabled nvidia gpu. reinstalled everything. Launched with "--skip-torch-cuda-test --use-directml --device-id 0 ", changed transformers version and doggetix and it worked but only for 3 steps after that out of memory. There is ahuge memory leak where it loads models again. This is especially visible when i press generate and there is an error, it loads the model again.
Checklist
What happened?
clicking on generate create error
Steps to reproduce the problem
fresh install using directml argument and click on generate
What should have happened?
generate image
What browsers do you use to access the UI ?
Mozilla Firefox
Sysinfo
sysinfo-2025-02-03-02-09.json
Console logs
Additional information
Updated recent Intel and Nvidia drivers.
Intel UHD Graphics 620. Nvidia MX130
Normally, I use nvidia gpu on my laptop but since it only has 2gb vram so, it is very slow using SD WebUI Forge because it has to keep offloading. I tried using directml on Intel iGPU and it produces error. I don't know much about programming so i can't solve it on my own. Tried every cross attention it doesn't work.
I am trying to iGPU because i have more ram so model doesn't have to offload and maybe see if it is much faster than using my laptop's nvidia gpu.
Thank you
The text was updated successfully, but these errors were encountered: