Faster Stable Diffusion with ZLUDA (AMD GPU) 

There's an install location option according to the guide rocm.docs.amd.com/projects/install-on-windows/en/docs-6.0.2/index.html

You just gotta make a judgement call. If AI is your main priority, I would go for nvidia (TBH I regret getting an AMD card now), it/s is gonna be significantly faster than a 6800 and less compatibility issues (unless you don't mind using linux with AMD cards and fiddling with errors until you get it to work). If your main priority is gaming with a bit of AI on the side, AMD is fine for that.

In the extras tab if I recall correctly

Which model are you interested in? I can try it

What's your gpu? VRAM?

It does, you have to do an extra step installing HIP SDK and replacing Library files

@@luisgustavodl Yea thanks. Its work

Have you downloaded an SD model (from for example civit ai) and put it in the SD model folder? On the dropdown in the top left there should be a list of all the models that are loaded. If it's empty, you either haven't downloaded an SD model or it's in the wrong folder (see my prev video on SD, I mention the location for models there)

@@northbound6937 OSError: Building PyTorch extensions using ROCm and Windows is not supported. 17:50:16-045137 DEBUG Script callback init time: image_browser.py:ui_tabs=0.46 system-info.py:app_started=0.25 task_scheduler.py:app_started=0.12 17:50:16-046137 INFO Startup time: 9.98 torch=3.48 gradio=0.67 libraries=1.94 extensions=0.64 face-restore=0.05 ui-en=0.13 ui-img2img=0.05 ui-control=0.08 ui-settings=0.17 ui-extensions=0.87 ui-defaults=0.06 launch=0.12 api=0.07 app-started=0.37 checkpoint=1.06 17:50:16-048139 DEBUG Save: file="config.json" json=29 bytes=1184 time=0.003 17:50:16-050141 INFO Launching browser 17:50:19-143698 INFO MOTD: N/A 17:50:23-884855 DEBUG Themes: builtin=12 gradio=5 huggingface=0 17:50:26-962581 INFO Browser session: user=None client=127.0.0.1 agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:126.0) Gecko/20100101 Firefox/126.0 17:52:00-177439 DEBUG Server: alive=True jobs=1 requests=37 uptime=109 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle 17:54:00-281476 DEBUG Server: alive=True jobs=1 requests=38 uptime=229 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle 17:56:00-376863 DEBUG Server: alive=True jobs=1 requests=38 uptime=350 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle 17:58:00-481532 DEBUG Server: alive=True jobs=1 requests=38 uptime=470 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle 17:59:59-582811 DEBUG Server: alive=True jobs=1 requests=38 uptime=589 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle 18:01:59-688014 DEBUG Server: alive=True jobs=1 requests=38 uptime=709 memory=0.98/31.92 backend=Backend.DIFFUSERS state=idle I also use "stable-diffusion-webui-directml" and this one works fine.

Don't know how to fix that. Maybe ask in the ZLUDA thread in the help channel on discord (link in github.com/vladmandic/automatic)

8x

@@northbound6937 Whoa, so fast!! I'll try it, thanks

not long ago I tried directML with RX580 and i got about 4s per 1 instruction. It was slow, but worked. Dont know if zluda was supported, but if you are serious about generative AI, upgrade your GPU, its worth it. The newer cards are way more optimized and way more powerful. With 7800XT I now get about 4 instructions per second, so its waaaay faster.

@@bitkarek Man, how do you fix that "RuntimeError: Torch is not able to use GPU;" ?? I got a RX 580 gpu and always have problem using SD

@@DouglasRivitti i would like to help you but everybody has different errors. Radeon software up to date, windows, install all requirements from the txt file... it "should" run. There was some workaround for older cards for the ROCm! be sure to have it, not sure you can run RX580 with Zluda and ROCm... Try that directML version. Its slower, but worked for me.

I'm not sure, it might. For that follow the steps in the section 'Replace HIP SDK library files for unsupported GPU architectures.' of the guide linked in description (specifically the last bullet point of step 3 of that section, the one who links to 'ROCmLibs.7z'). Good luck!

directml Works. ZLUDA in general also. ( blender etc. ) on that card

I tried it, but came up with all sorts of errors I didn't know how to fix. If I try again and manage to make it work, I'll update a video about it.

Should be supported, for all intents and purposes the 7900GRE has the same chipset as 7900XT

@@northbound6937 thanks