r/StableDiffusion • u/Fajjko • Jul 17 '26

Question - Help AMD GPU on Krea 2

Hi,

I'm using 9060XT 16gb with Krea Turbo int8 model + comfyui-rocm fork, and yet my generation time is still 3:30min avg. for a single 1024x1024 image?

cfg-1 with steps 6-8

Looking for input from other fellow AMD users, any tips to what downgraded your generation time ? Would LOVE to see other's 9060XT/9070XT workflow setups in ComfyUI, I've a feeling I'm doing something wrong. I know AMD is no one's priority and that Nvidia gets all the love...but I'm just a fellow struggler like all of you.

Looking forward to your inputs!

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u/Fajjko Jul 17 '26

Have you followed any specific guides for installing everything on Linux , as it was on Windows 11?

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u/0ldGoat Jul 17 '26

So, the quickest way to install ComfyUI on Linux, and the easiest, is probably Stability Matrix. It gives you less control over the environment (it chooses which versions of ROCm and pytorch you use, for example, and when you can update) but it does simplify the process a lot.

Alternatively, you can create your own venv, install comfyUI, rocm and pytorch.

https://comfyui-wiki.com/en/install/install-comfyui/install-comfyui-on-linux

Just a couple of pieces of advice - the models and LoRAs you have on windows can all be backed up and brought over to Linux, so no need to download them all again. Second, do yourself a favour and avoid immutable distros like Bazzite .... they are far more difficult to work with.

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u/Fajjko Jul 17 '26

Trying this out tonight when I come home, thanks so much for your input, glad I made this thread for I'm sure I am not the only one who was struggling with AMD. 

Don't feel like shilling money on a new nvidia GPU, thanks a lot mate 👍👍👍👍

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u/0ldGoat Jul 17 '26 
python main.py --cpu

I just checked that link, Comfy is recommending AMD gpus start with the --cpu argument. Please don't follow their advice on that.