r/upscaling

I have a GTX 1650 Super GPU setup and recently started using an offline AI image enhancer/upscaler from GitHub. After testing it on different types of images, the results turned out surprisingly good, especially for blurry photos, compressed social media images, old pictures, low-resolution product photos, wallpapers, anime frames, and other content that needs sharpening or upscaling.

Since everything runs locally on my PC, I can also process bulk images without online limits or watermarks. If anyone needs image enhancement, restoration, or upscaling for personal or professional use, feel free to DM me with sample images or your requirements 👌

upscayle

original

hi i scanned a document but the quality was too bad as u can see , i tried Upscayle but its not the result i expected , do u know any trick for this type of upscaling ?

I run SeedVR2 v2.5 on my 4080 pc and it runs somewhat well. I can’t upscale to HUGE resolutions but 12MP is my sweet spot. Is SeedVR2 better than topaz gigapixel? Just wanted to know your experiences and what you guys have seen,

I volunteer at a cat shelter and somehow became the person who deals with photos. Which mostly means crouching in a corner for half an hour trying to get one decent shot of a cat who has decided trust is a scam.

Good photos matter more than people think. A couple of our cats were adopted off one really solid picture, so I’ve been testing tools that can rescue soft or messy phone shots without making them look weird.

So far:

PDF Guru was the random one I found because I was already using it for intake form stuff. Tried the image enhancer out of curiosity and it was better than I expected. Helped with soft focus and rough phone grain, and I liked not needing a separate tool for every little task. PDF Guru’s enhancer supports 2x and 4x upscaling.

Upscale media was decent for quick fixes. It cleaned things up without making the cats look overly processed. Their pricing page says guests can upscale one image a day for free, or you get 3 free credits after signing up.

Let’s Enhance gave the strongest results on difficult photos, especially dark ones. Their current pricing page shows 10 free credits to start and Starter from $9/month billed annually.

I’m not looking for “perfect.” I just want the cat in the photo to still look like the cat in real life, not like it got run through plastic surgery software. Anyone here doing rescue, shelter, or product photos and found a tool that helps without making everything look fake?

EXAMPLE:

I'm generating a lot of images using ChatGPT, but I always notice these circular noise artifacts/banding in the background (as seen in the attached image_8e533e.jpg).

Does anyone know if there is a specific upscaling model or an automated way to remove this so I don't have to clean it up manually? Any workflow tips would be appreciated!

Since AMD is either dragging their feet or straight up not bringing FSR4 to RDNA3, I've decided to take matters into my own hands to improve 4K performance on my RX7900XTX.

Background:

FSR versions prior to FSR4, unlike DLSS and FSR4, do not actually use any of the AI acceleration hardware (WMMA - Wave Matrix Multiply Accumulate) in RDNA3 cards. FSR 3.1 and XeSS also suck and I'm tired of it. I'm a big fan of Gray Zone Warfare and am dissapointed in the performance I get and don't want to turn graphics settings down, given as the visuals are one of the main draws to the game. It seems like there are no existing solutions either that utilize this hardware on RDNA3, so I've decided to make one.

I own a small company with some considerable AI hardware and already do a lot of AI training and fine-tuning work, so I've decided to use that hardware and do sort-of a "marketing" thing that also improves my gaming experience. Best part is, I'll be open sourcing all of it.

Goal:

Create an AI upscaler targeting RDNA3 hardware (but keeping it as platform agnostic as possible) that utilizes every drop of AI acceleration that uses the same interface as DLSS. Initially, I intend to use Optiscaler to inject this in games that already work with DLSS and hijack the DLSS calls. The same information (motion vectors, G-Buffer, etc) will be used on a small VSR (Video Super Resolution) model that targets RDNA3 WMMA hardware. Through optiscaler, this will of course piss off anti-cheat, so unfortunately, no anti-cheat enabled multiplayer games at first. But if this works out well, and given the open nature, it may hopefully be implemented in the games officially.

Benefits:

AI upscaling will allow unused hardware on RDNA3 cards to be fully taken advantage of, so better performance than FSR's simple shader-based temporal upscaling. It also provides much higher quality output. The main difference between DLSS and FSR<4 is literally AI and the quality difference is apparent.

Status:

I'm currently training a VSR model through RDG with the same data DLSS takes from engines. Optiscaler already provides a framework for upscaler injection, so I plan to fork it and use my model once it's trained. I'll post the complete technical breakdown on my GitHub page if you're interested. The model will target FP16.

Please let me know if you're interested in this.

Edit: Please excuse the typos and/or dog shit grammar. I need to sleep. It's been a long night of studying and optimizing PyTorch scripts. What asshole decided to use Python for the industry standard ML framework??

Edit: I just did some double checking and I wanna thank you guys for your comments regarding INT8 vs FP8 and DP4A support on RDNA3. INT8 is supported and I'll consider it for performance. RDNA3 does not support FP8 and in my sleepless-zombie state last night, I confused the two. Please correct me if I'm wrong and I'd highly appreciate sources where I can read more about such topics.

Hello guys, I’m trying to find any good alternative for my beloved waifu2x.booru upscaler, is there any??