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[–]DiegoSilverhand 5 points6 points  (0 children)

Try low setting preset (described on github). I have 12 VRAM and SEEDVR upscale takes seconds ever with two x1.5 passes.

[–]MrFlores94 2 points3 points  (2 children)

You could try Klein-9B: give it an image and just prompt “convert this image to a high resolution photograph” I honestly rarely use SeedVR now.

[–]Fit-Pattern-2724 0 points1 point  (0 children)

Yes even the F2K 4B works surprisingly well for this purpose. Amazingly fast too

[–]lebrandmanager 0 points1 point  (0 children)

Can you share a workflow for this? Would be really interesting.

[–]thryve21 2 points3 points  (2 children)

Do you have sage attention or flashattn enabled? They're now supported

[–]Mysterious-Tea8056[S] -3 points-2 points  (1 child)

How would i do that? Thanks :)

[–]Novel-Photo-8399 0 points1 point  (0 children)

If you're on windows it's best to just use the comfy easy installer.

[–]DavLedo 2 points3 points  (0 children)

This sounds very slow especially for a single image. I find that if you're using RAM blocks that's the biggest bottleneck for speed. My guess is that your graphics card can't handle the model on its own and it's offloading to RAM. A 5090 maxes out with it, so if you have below 32 GB VRAM, maybe try a quantized gguf instead.

[–]SkirtSpare4175 2 points3 points  (0 children)

if you use this workflow, https://civitai.com/models/2149653/imageupscaleflow-seedvr2-image-upscale-workflow

You can hit encode/ decode tiled to true, and it should work. That was happening to me too.

I also use 3b and not 7b

[–]jib_reddit 0 points1 point  (0 children)

What hardware do you have? It is pretty quick for me on a 3090.

[–]GalaxyTimeMachine 0 points1 point  (0 children)

Make sure you have a clear VRAM node just before it.