P-Image-Upscale

Upscale finished images to 32 MP with cleaner edges, sharper textures, and fast results.

Try P-Image-Upscale

Drag the divider to compare. Upload your own image to run it.

P-Image-Upscale — Upscale AI art to 8 MP (before)
P-Image-Upscale — Upscale AI art to 8 MP (after)
BEFOREAFTER
Upscale AI art to 8 MP · 960x540 source, upscaled 4.0x to 3860x2172
P-Image-Upscale — Enlarge a real estate photo (before)
P-Image-Upscale — Enlarge a real estate photo (after)

From this.

To this.

960x540 source, upscaled 4.0x to 3860x2172

Before and after, on real images

Upscale AI art to 8 MP (before)
Upscale AI art to 8 MP (after)
BEFOREAFTER

Upscale AI art to 8 MP.

Adds plausible micro-detail to hair, fabric, and surfaces while keeping the original composition intact.

960x540 source, upscaled 4.0x to 3860x2172

Enlarge a real estate photo (before)
Enlarge a real estate photo (after)
BEFOREAFTER

Enlarge a real estate photo.

Clarifies roof shingles, brickwork, foliage, and window edges for a cleaner high-resolution property image.

960x540 source, upscaled 4.0x to 3860x2172

Clean supplier product shots (before)
Clean supplier product shots (after)
BEFOREAFTER

Clean supplier product shots.

Sharpens packaging edges and existing label text while preserving the original product framing.

960x540 source, upscaled 4.0x to 3860x2172

Polish an old family scan (before)
Polish an old family scan (after)
BEFOREAFTER

Polish an old family scan.

Improves facial edges, clothing texture, and overall crispness, but cannot rebuild missing or damaged features reliably.

960x540 source, upscaled 4.0x to 3860x2172

Sharpen a video frame grab (before)
Sharpen a video frame grab (after)
BEFOREAFTER

Sharpen a video frame grab.

Strengthens subject separation and surface detail in a soft, compressed frame without fixing severe motion blur.

960x540 source, upscaled 4.0x to 3860x2172

Choose a 4, 8, 16, or 32 MP output

Select the output target in megapixels rather than relying on a fixed enlargement factor. BudgetPixel accepts inputs up to 4096x4096 and caps P-Image-Upscale results at 32 MP.

  • 4 MP default target
  • 8, 16, and 32 MP options
  • 32 MP maximum output
  • 4096x4096 maximum input
  • Original framing remains the reference
Choose a 4, 8, 16, or 32 MP output (before)
Choose a 4, 8, 16, or 32 MP output (after)
BEFOREAFTER
960x540 source, upscaled 4.0x to 3860x2172

Reconstructs fine texture and cleaner edges

P-Image-Upscale reconstructs plausible high-frequency texture in hair, fabric, foliage, and product surfaces while strengthening edges. Added micro-detail may differ from the source and is not recovered evidence.

  • Strengthens fabric and surface texture
  • Clarifies hair and foliage detail
  • Cleans soft object boundaries
  • May increase local contrast
  • Works best on an already sound composition
Reconstructs fine texture and cleaner edges (before)
Reconstructs fine texture and cleaner edges (after)
BEFOREAFTER
960x540 source, upscaled 4.0x to 3860x2172

Clarifies existing text and fine lines

The model can clean up lettering, packaging outlines, and graphic edges in ads, posters, and retail images. It cannot reliably infer words that are unreadable, garbled, or absent, so verify every character.

  • Useful for text-heavy creative
  • Sharpens existing letter shapes
  • Cleans packaging and poster edges
  • Does not guarantee exact typography
  • Unreadable text may remain incorrect
Clarifies existing text and fine lines (before)
Clarifies existing text and fine lines (after)
BEFOREAFTER
960x540 source, upscaled 4.0x to 3860x2172

Finishes faces without identity guarantees

Clear source faces can gain sharper hair, eyes, and skin texture. The model may synthesize pores, eyelashes, or other plausible detail and can subtly alter features, so it is unsuitable for identification or forensic use.

  • Best when facial features are already visible
  • Can sharpen hair and eye contours
  • May invent plausible skin texture
  • No forensic or identity guarantee
  • Compare important faces with the source
Finishes faces without identity guarantees (before)
Finishes faces without identity guarantees (after)
BEFOREAFTER
960x540 source, upscaled 4.0x to 3860x2172

How it works

Upload your image
1

Upload your image

Choose a photo, scan, product shot, screenshot, or AI-generated image. No prompt is needed because P-Image-Upscale works directly from the uploaded pixels.

Pick the output size
2

Pick the output size

Select a 4, 8, 16, or 32 MP target and choose JPG, PNG, or WebP. Use a moderate target first when faces, logos, or small text must stay close to the source.

Download the result
3

Download the result

Inspect the enhanced image at full size, especially around faces, lettering, and product details. Download it in your selected format when the reconstruction looks right.

Pricing for P-Image-Upscale

Runs on credits — no per-model surcharges, no surprise billing.

10credits
per generation
10 credits per image
Show pricing details
TargetCredits
  • 4default10/ generation
  • 1630/ generation
  • 3260/ generation
  • 815/ generation

Credits work across every plan. See /pricing for credit packages.

Frequently asked questions

What is P-Image-Upscale?
P-Image-Upscale is an AI image upscaler from Pruna AI for improving finished images without redesigning their composition. It focuses on sharper detail, cleaner edges, clearer text-heavy visuals, and a more polished final export.
How does P-Image-Upscale work?
Upload an image, choose a target resolution and output format, then run the enhancement. The model enlarges the image and reconstructs plausible texture and edge detail from the visual information already present; no text prompt is required.
Does P-Image-Upscale invent detail that was not there?
It can. AI upscaling reconstructs a plausible high-resolution version rather than recovering detail the camera never captured. Check faces, text, logos, documents, and exact product features carefully because small reconstructed details may differ from the source.
How much can P-Image-Upscale enlarge an image?
BudgetPixel offers output targets of 4, 8, 16, or 32 MP, with 32 MP as the maximum. These are megapixel targets rather than fixed 2x or 4x scale factors, so the effective enlargement depends on the source dimensions and aspect ratio.
Does P-Image-Upscale work on faces?
It can sharpen faces when the eyes, expression, hairline, and other features are already visible. It does not provide a forensic identity guarantee, and reconstructed skin or eye detail may subtly change the person’s appearance.
Does P-Image-Upscale keep text readable?
It is designed to improve text-heavy visuals such as ads, posters, and packaging when the original letters are already readable. It cannot reliably recreate text that is too small or garbled, so proofread names, prices, labels, and legal copy after upscaling.
What input size and formats does P-Image-Upscale support?
BudgetPixel accepts images up to 4096x4096. Results can be exported as JPG, PNG, or WebP, with JPG used by default.
Can I upscale AI-generated images?
Yes. P-Image-Upscale is especially useful as a final polish pass when an AI image already has the right subject and composition but needs more resolution, stronger texture, or cleaner edges.
How much does P-Image-Upscale cost?
Usage is charged through BudgetPixel credits, and the required credits can vary with the selected output target. Review the displayed credit cost before starting the upscale.
How does P-Image-Upscale compare with other AI upscalers?
P-Image-Upscale is positioned as a fast finishing tool for existing images, with selectable megapixel targets and an emphasis on textures, edges, retail creative, and AI-generated artwork. As with other AI upscalers, its reconstructed detail should be reviewed whenever exact fidelity matters.