>i dont game or mine coinz. >see someone made a Stable Diffusion LoRa for a rare character I like and decide to give it a try. >there are a few tools and workarounds to stop my ~decade-old budget GPU from out-of-memorying, like tiling, although

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Anonymous 22-09-24 23:28:06 No.26476

>i dont game or mine coinz
>see someone made a Stable Diffusion LoRa for a rare character I like and decide to give it a try
>there are a few tools and workarounds to stop my ~decade-old budget GPU from out-of-memorying, like tiling, although the quality is still ok enough for basic hobby fun
>decide try to make a new embedding for a rare character
>see a guide for [their formatting kept] "VERY LOW VRAM"
>aw sweet
>mfw "VERY LOW VRAM" is now apparently "[12GB/16GB/20GB]"
bitch i aint payin half a thousand for very low vram

Anonymous 23-09-24 00:22:52 No.26477

>>26476
They made a what??

Glownonymous 23-09-24 00:54:11 No.26478

>>26476
If the program has sufficiently local access patterns, you can get decent performances with mostly swap.

Anonymous 23-09-24 06:13:54 No.26484

Mine has 256M.

>>26478
There's swap for video?

Glownonymous 23-09-24 10:29:43 No.26487

>>26484
I thought VRAM meant virtual RAM/memory, my mistake. The answer to your question depends on how the application manages memory. System level memory access will pass through the virtual memory subsystem, but low-level VRAM access will be bounded by physical size. The program might even implement its own virtual memory layer for obvious reasons. Integrated graphics are a special case, because they often map their VRAM onto a physical memory region, whose size is sometimes governed by dynamic bios settings.

I suggest you take a look at the memory settings of your application. Performancewise the worst-case scenario would be running a virtual machine that emulates a video card.

Anonymous 23-09-24 13:45:13 No.26488

>>26476
Isn't stable diffusion minimum VRAM like 4Gb?

Glownonymous 23-09-24 20:57:04 No.26492

>>26488
For one, I believe you can run it on CPU/RAM only if you have enough, it will just generally be much slower.
I don't have a 4GB VRAM device and I'm running it. But newer higher-res models trained on larger pics (e.g. 1024x1024 pics instead of 512x512 pics) or any upscaling to a larger output requires using tiling (generating e.g. 4 smaller images to make one big image) or just using CPU mode. So 4GB would be the recommended, at least for whenever model they were talking about.

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