Upscale to 8K without changing your image

Shrunk to fit a browser column, that is just a picture. Click ⛶ Compare at 3336×1880 and it opens at full size with a wipe across it: on one side the original stretched to fit, on the other the same original through RTX VSR. Drag through it, pan around, and judge it at actual pixels — which is the only place an upscaler can be judged at all.

The word "upscale" covers two genuinely different crafts, and Sogni now does both.

Creative Enhance is the imaginative one. It hands your picture to a diffusion model and lets it re-render richer — inventing texture, deepening colour, pushing the final look. It is the right tool much of the time, and it can do things no reconstruction ever will: give a soft render detail it never had in the first place.

RTX Video Super Resolution is the faithful one, and it is exceptionally good at it. NVIDIA built it to answer exactly one question — what would a higher-resolution version of this exact image have looked like? — and it answers with no prompt, no seed, and no opinions of its own. Ask it twice, get the same answer twice, down to the pixel. Ask it for 8K and it delivers in about the time it takes to read this sentence.

That combination is genuinely rare. Most ways of making a picture bigger force a trade: fast but soft, or detailed but drifting. This one is fast and detailed and incapable of changing your image — and it does not stop politely at 2K. Your 1024px render becomes a 69 cm gallery print with the composition untouched, in a couple of seconds, for a fraction of what it cost to generate.

Different jobs, then. Creative Enhance when the picture is still becoming what it wants to be. This when it already is, and simply deserves to be enormous.

Four times bigger

A 832×1216 portrait taken to 3328×4864 — nearly 5K on the long edge.

The picture at the top of this page started at a comfortable size. This one starts where most AI images actually start: a standard portrait render, 832×1216, generated on Sogni with Chroma. Four times each edge is sixteen times the pixels, and this is where the difference stops being subtle.

Below is a window into the result — the eye, at actual size. Toggle between the original blown up four times — the way a browser or an image editor would do it — and the same original through RTX VSR. Ten seconds of work.

Stretching gets you a bigger version of what you had: lashes fused into a dark smear, pores dissolved into a gradient, freckles turned to soft blobs. The reconstruction separates the lashes into individual hairs, puts the texture back into the skin, holds the wet edge of the lower lid, and keeps the reflection in the iris legible as a window rather than a smudge. Sixteen times the pixels, and not one of them invented — same eye, same light, same face.

What it looks like up close

Every comparison below is a 1:1 crop. Use the button to open it at true size.

The honest baseline for a real upscaler is not "does it beat doing nothing" — it is "does it beat a good ordinary resize." So each pair below is RTX VSR against high-quality bicubic resampling at the identical output size, cut from the same coordinates.

This is the part a resize can never do. The weave and the stitch line are not sharper in the VSR version — they are present. But look at what is not different: the fold falls the same way, the collar sits in the same place, the colour is unchanged. Nothing was invented, only resolved.

RTX VSR vs. Creative Enhance

The only question worth asking is whether you want your picture changed. Both answers are legitimate; they simply belong to different stages of the work. Here is the same eye, put through both at exactly the same output size — Creative Enhance on its own terms, at the resolution it targets.

Creative Enhance did what it is built to do, and it is a real look: the lashes come out bolder and more separated, the whole frame gains contrast and depth. If that is the image you wanted, nothing else on the platform gets you there.

But notice what else moved. The exposure is deeper, the skin is smoother and has lost some of its pores, the colour has shifted warmer. It reinterpreted the photograph — faithfully to your intent, perhaps, but it is not the same frame any more. The VSR version beside it is the original's tone, the original's skin, the original's lashes, just larger. It also took a fifth of the time.

That is the whole choice, in one pair of crops. Neither column is the wrong answer.

Sogni's own documentation is candid about the trade-off: Creative Enhance "can intentionally change the image," and the guidance if it goes too far is to turn the strength down. There is also a long-standing note that the upscaler "can sometimes lead to excessive smoothing, particularly on faces and skin areas." That is not a bug — it is what happens when you ask a generative model to repaint skin it cannot see clearly.

So:

• Use Creative Enhance when the image is nearly right but wants more — more texture, more richness, a stronger final look. You are inviting change.
• Use RTX VSR when the image is done. Final crop, approved face, client-approved logo, the frame you are printing. You want the same picture, larger.
• Use both, in that order, when you want it: enhance to taste at native size, then enlarge the result without putting it back in front of a model that might have opinions.

Print, and why 8K matters

This is where it stops being a convenience and starts being a capability, and print is the clearest case. A 1024×1024 render is a lovely thing on a screen and a postcard on paper — about 9 cm at proper print resolution. That is the ceiling most AI work quietly lives under, and it is why so much of it never leaves the screen.

Take the same file to 8K and it is a gallery print, a trade-show panel, a book spread, a poster behind a booth — and it gets there in about eleven seconds, holding the composition you approved, at a cost that rounds to nothing next to what it took to generate. Crucially for print, it holds it exactly: the face on the proof is the face on the wall. Nothing is reinterpreted on the way up, so there is no second round of proofs to catch what changed.

That ceiling is the headline. Diffusion upscaling runs out of room around 2K; past that you are tiling, stitching, and negotiating with a model that keeps having ideas. RTX VSR simply does not have that problem — it uses about 2.4 GB of memory at 8K, roughly what it uses at 2K, because there is no diffusion checkpoint to hold. Big is not a special mode here. It is just a bigger number in the box.

What that buys you, at 300 DPI:

You send the size you want and the source is fitted inside it, keeping its shape — so a square image asked for a 4K box comes back square, not stretched.

How to use it

• It works on an image you already have — something you generated on Sogni, or something you uploaded. There is nothing to prompt.
• Pick a target size. Bigger costs more, because bigger is more pixels to make and move.
• It only ever goes up. Asking for something smaller than your source is rejected rather than quietly downsampled.
• Feed it the best version you have. Reconstruction is not restoration: a heavily compressed JPEG gives it compression artefacts to faithfully enlarge.

Video is next

The name is not decorative. NVIDIA built this for video, and the property that makes it feel almost boring on a still — that it is exact, and gives the same answer every time — is precisely what video needs. Per-frame diffusion upscaling shimmers, because every frame re-rolls the dice and fine texture crawls between them. A reconstruction cannot do that: feed it two near-identical frames and you get two near-identical results.

It is also fast enough that the cost barely registers. On our test rig it upscales a frame in a couple of milliseconds and its memory use does not grow with clip length, so an entire short clip costs less GPU time than a single image generation. We expect to bring this to video renders on Sogni before long — taking the 768p-class output of Wan, LTX and MiniMax H3 up to 1440p and beyond, without the flicker that has always made frame-by-frame upscaling a bad trade.

Both source images on this page are original stills generated on Sogni — the night market on the Supernet, the portrait with Chroma — never frames extracted from a video. Every comparison is a 1:1 crop taken from the same coordinates in both renders, with no resampling; the ⛶ Compare at… button opens each at true size with a draggable wipe between the two versions. The bicubic control is high-quality antialiased resampling to the identical output size. Upscales rendered on the Sogni Supernet, 2026-08-14. RTX Video Super Resolution is NVIDIA technology and runs on NVIDIA RTX GPUs; on Sogni, Supernet workers supply the hardware, so there is nothing to install or configure.