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submitted 1 year ago by m4@kbin.social to c/linux@lemmy.ml

Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required. - GitHub - Acly/krita-ai-diffusion: Streamlined interface for gen...

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[-] FaeDrifter@midwest.social 14 points 1 year ago

This is suuuper cool, but looks like having linux+amdgpu limits me to the cloud option.

I supposed this is bc we don't have a DirectML equivalent yet.

[-] wim 12 points 1 year ago

There have been some efforts to run pytorch and StableDiffusion on ROCm. Not sure if that could be combined with this.

[-] wewbull@feddit.uk 5 points 1 year ago* (last edited 1 year ago)

It works today. Only problem I have is the memory management is pretty poor, and it's pretty easy to run out of vram.

Rx7600 8GB + 5900X Rocm 5.7.1 Pytorch 2.1

[-] wim 1 points 1 year ago* (last edited 1 year ago)

Interesting! Got any links that explain how to set it up?

I just got a laptop with an RX 6700M 10GB ans am eager to try it :)

[-] wewbull@feddit.uk 4 points 1 year ago

Not really. I've had to do quite a bit of experimentation.

My setup that I've settled on:

  • Rocm system libraries from Arch Linux
  • PyTorch nightly for Rocm pip installed into a venv (see instructions on pytorch homepage)
  • Set HSA_OVERRIDE_GFX_VERSION to 11.0.0. This is just for the RX7600 and it tells it to use the RX7900 code as the pytorch version hasn't been compiled with 7600 support.
  • Start software.
[-] wim 1 points 1 year ago
[-] warmaster@lemmy.world 5 points 1 year ago

Crap, I was hoping to try it. I wonder if AMD will announce something in their FOSS / AI event.

[-] byteseb@beehaw.org 2 points 1 year ago

Hmm, that's weird. I was able to run Stable Diffusion locally with Linux + RX6600.

Probably because I used Easy Diffusion. At first, I couldn't get the GPU acceleration to work, and I was constantly running out of RAM (Not using VRAM), so my system always froze and crashed.

Turns out it was a ROCM bug, that I don't know if it's fixed by now, but I remember "fixing it" by setting an environment variable to a previous version.

Then, it all worked really good. Took between 30 seconds to 2 minutes to make an image.

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this post was submitted on 20 Nov 2023
235 points (95.7% liked)

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