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10 credits per run

Upscale Image

Set the scale and the model here, then run it in the workspace and compare the result at full size. Separate models for photos and for line art, because one model cannot do both.

  • Free to try
  • Up to 8x
  • Photo & anime models

Upscale Image · Live workspace

Ready

Run it here · Your image stays in browser memory until you press Run

Drop an image, press Ctrl+V, or

JPG · PNG · WebP · max 10 MB

No image?PhotoIllustrationOld scan

10 credits per run · 1 free a day without an account

Visual proof

See what upscale image changes

A visual example makes the result easier to judge before you upload anything. The sample below is illustrative; your file is processed only after you approve the run.

Original product photo before upscale image
Original imageThe untouched reference
Upscale Image example result with preserved product details
Upscaled detailTexture and edge definition preserved
01

Judge the edges, not the effect

Look at the cap seam, label edge and ceramic texture. Those small boundaries reveal whether an image edit is genuinely clean.

Subject
Preserved
Edges
Checked
Preview
Before approval

Detail

Upscale image quality without losing detail

Enlarging the old way interpolates between the pixels you already have. There is no new information, so the result is the same picture with softer edges — which is why a plain 2x resize looks blurry in every image editor regardless of the algorithm.

An AI image upscaler reconstructs plausible texture and edges instead. It does not just enlarge image dimensions — it can genuinely increase image resolution in a way that holds up, which is what makes a 1000px file usable at poster size.

The detail is invented, not recovered

This matters and most tools do not say it. An upscaler adds detail that is consistent with what images normally look like — it does not recover what the camera failed to capture. An upscaled licence plate or a sharpened face at a distance is a plausible guess, not evidence. Treat the output accordingly.

Reference

Which scale should I use?

The right scale depends on how much the model has to invent.

ScaleGood forWatch out for
2xAlmost anything. Safe default.Nothing much — this is the reliable end.
4xWeb images heading for print; small product shots.Fine text starts to soften.
8xVery small sources, smooth subjects, flat graphics.Text, faces at a distance, and repeating patterns show clearly.

Detail

Fix pixelated and low-resolution photos

Blocky compression artefacts from a re-saved or re-forwarded image are a different problem from simple smallness, and the model handles both in one pass — it reduces the blocking while it reconstructs edges.

If the photo is mainly noisy or soft rather than small, the photo enhancer is the better starting point; it denoises and sharpens without changing the dimensions.

Detail

Enlarge image files: logos, icons and product photos

Flat graphics with hard edges upscale extremely well, because there is little texture to invent. This is the case where 8x is genuinely usable.

For ecommerce specifically: Amazon activates zoom at 1600px on the longest side, which is the threshold most phone-shot listing photos miss. Upscaling gets an otherwise good photo over that line without a reshoot.

Detail

Upscale AI art and anime

Most image models top out around 1024px, so upscaling is the standard last step before an AI image is used anywhere real.

Use the anime model for anything with linework. A photo upscaler applied to line art smears exactly the edges that make it line art; the anime model keeps lines hard and flat colour areas flat. Using one model for both is the single most common reason an upscale looks wrong.

FAQ

Frequently asked questions

4x is reliable for most sources. At 8x the model is inventing the majority of what you see, which works well for smooth subjects and shows on fine text and complex patterns.

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