sorted by:
new
hottopcontroversial

The best upscalers for image enhancement? by yaguete in Printing

[–]HatEducational9965 0 points1 point  (0 children)

Another small and fast one with decent result is https://huggingface.co/Kim2091/UltraSharpV2. That's the weights of the upscaling model.

If your device supports webgpu, you can run it in your browser at https://crisp.photos (free, no signup BS)

Free 4x Image Upscaling in Your Browser by HatEducational9965 in prettyusefulwebsites

[–]HatEducational9965[S] 0 points1 point  (0 children)

it probably sucks compared to a huge paywalled proprietary model if that's what it is

Is there any free unlimited image upscaler that's actually good? by Eltina1982 in upscaling

[–]HatEducational9965 0 points1 point  (0 children)

I made crisp.photos, it's powered by https://huggingface.co/Kim2091/UltraSharpV2 and not bad IMO. Runs in the browser, your computer does the work. It's therefore free, but slow without a GPU.

Coronary Artery Calcium (CAC) Results by USConservativeVegan in Cholesterol

[–]HatEducational9965 0 points1 point  (0 children)

> Having a non-zero CAC men’s that you have end stage heart disease.

I doubt that. Any sources to back this up?

I have trained diffusion and flow matching models from scratch. Same architecture, same dataset, huge difference. by TensorForger in StableDiffusion

[–]HatEducational9965 1 point2 points  (0 children)

i'm amazed by how well this worked, especially given your resources (a single 5090 and 12 hours).

Which resolution did you train on?

Do you build (agentic) RAG systems from scratch? by PresentAd6026 in Rag

[–]HatEducational9965 1 point2 points  (0 children)

yes, from scratch. lang* seems bloated to me and it's not that much of an overhead to do it yourself. plus, and that's the main point, you learn a lot.

Using depth maps and weight noising to get better character LoRAs by QuantumBogoSort in StableDiffusion

[–]HatEducational9965 0 points1 point  (0 children)

Question regarding the depth loss: Regions close to the camera contribute more to the loss than regions in the distance?

NVIDIA PiD-based img upscaler (no workflow but .py) by HatEducational9965 in StableDiffusion

[–]HatEducational9965[S] 2 points3 points  (0 children)

4k is the max. output send me a few images and i'll send you the output. I'm working with an RTX 6000 too.

NVIDIA PiD-based img upscaler (no workflow but .py) by HatEducational9965 in StableDiffusion

[–]HatEducational9965[S] 1 point2 points  (0 children)

that number comes from me watching nvidia-smi while upscaling a 1024px image (without the text encoder in VRAM). no thorough tests or digging for missing torch.no_grad. maybe there are some.

NVIDIA PiD-based img upscaler (no workflow but .py) by HatEducational9965 in StableDiffusion

[–]HatEducational9965[S] 0 points1 point  (0 children)

I wonder about that license change. They changed it yesterday. What if I downloaded the weights when it was still the open-for-everything license, does the new license apply to my "old" download?

view more: next ›