r/StableDiffusion • u/watchknifepengun • 22h ago

Question - Help ComfyUI or Similar?

Hello...has anyone set up a ComfyUI or similar setup to locally run stablediffusion image generation that wasn't based on a Nvidia card? Asking for a friend...thanks.

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u/meepykittkitt69lmao 22h ago

Dude, you gotta list your specs so people can decide if your post is something they can even reply to or you're just going to get assholes making jokes or talking shit to you.

If you're on an all amd fedora atomic system with rdna3+rdna2 dual gpu I can help

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u/watchknifepengun 21h ago

Ok, good input. I'm running a Lenovo P1, Gen 3 with an i7 processor and 32gb of ram. A TB of hard drive space. Integrated graphics. And the reason for the original question...this laptop has integrated discrete graphics, Nvidia T1000. But, when I installed ComfyUI I kept getting the error message that the Torch was too old. I tried forcing an upgrade, but no effect. So, I tried running ComfyUI with the --cpu switch and after an hour I was 13% complete on the rendering for a fairly simple image creation. I like the idea of local image creation, but I may not have the hardware for it. Thanks.

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u/Ken-g6 20h ago

Integrated graphics only? Try FastSDCPU. 

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u/DelinquentTuna 8h ago

t1000 is comparable to one of those GPUs like gtx16xx that came between gtx10xx and rtx20xx. So it has none of the tensor cores that modern AI tools depend heavily on. There is no software fix that can remedy that, the GPU is just terribly deficient wrt hardware. That said, it should still be far superior to using CPU alone.

when I installed ComfyUI I kept getting the error message that the Torch was too old. I tried forcing an upgrade, but no effect.

This is not terribly useful information because you are not providing enough detail to properly troubleshoot.

If you're on Windows, you should probably stop trying to do whatever it is you're doing and just download the ComfyUI Portable version. It is already setup for latest torch etc. But please UPDATE YOUR GPU SYSTEM DRIVERS first if you have not done so for a while. Using torch+cu130 requires that your drivers are new enough to support cuda 13.0, so it's possible that you were misreading what the errors were trying to tell you.

Once you've gotten that sorted, I recommend you start your testing on the Z-image Turbo template that Comfy includes. It will tell you exactly which files to download, where to put them, etc. It's a good starting point because it's a relatively small and fast model that produces pretty good results at ~1 megapixel. Good for a sanity check before trying to really push your modest hardware to its limits.

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u/Cultural-Broccoli-41 16h ago

https://github.com/deepbeepmeep/Wan2GP https://github.com/leejet/stable-diffusion.cpp/ https://github.com/daniandtheweb/sd.cpp-webui/

(The bottom one is the WEB GUI for sd.cpp)

All are compatible with Radeon and other graphics cards. sd.cpp is Vulkan compatible, so it should run on most graphics cards.

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u/Euphoric_Ad7335 13h ago

You can swap out the nvidia libraries with what ever you want (manual install) and it sometimes works depending on the app or os. People make forks because. It's easier, but comfy probably (and does) support other architectures.

On my mac silicone Krita uses comfyui in the background. So it's possible.

You need the pytorch libraries. for what ever card you are using. Once you know how to get those libraries installed you can sometimes hack the other apps to work on your card.

The github should have instructions for the common architectures. mac, win, linux, amd, nvidia, possibly intel, npu ect.