Up to 4K
Re-renders a small image at 1K, 2K, or 4K for a larger, higher-resolution copy.
AI Image Upscaler to 4K
Make a small, low-res image bigger — up to 4K.
How do I upscale an image to a higher resolution with AI?
Upload the small image to Renoise Canvas, pick Nano Banana Pro, set the output to 2K or 4K, and prompt "upscale, keep the same subject and composition", then export. This is generative re-render — the model rebuilds the picture at a larger resolution, not a pixel-faithful upscale that preserves every original pixel.
Just want a sharper, cleaner image at the same size? See the image enhancer guide
What AI upscaling does
How a generative re-render makes a small image bigger.
Print and big display
Sizes a low-res source up for posters, framed prints, and large screens.
Generative re-render
Rebuilds the image at the target size with AI — not a pixel-for-pixel upscale.
Upscale an image in 3 steps
From a small, low-res source to a larger, higher-resolution re-render.
Step 1Upload the image
Drag the small or low-res image onto the Renoise Canvas upload card.
Step 2Pick model and prompt
Choose Nano Banana Pro, then prompt "upscale, keep the same subject and composition".
Step 3Set resolution and export
Set output to 4K, generate, compare with the original, then export the larger version.
What upscaling looks like
Generative re-renders of small images at a larger resolution — same subject, sized up to 4K in one canvas.
Portrait
Re-render a small portrait at a larger size — same subject.
Photo to print size
Size a low-res shot up for printing.
Landscape to 4K
Re-render a small landscape up to 4K.
Product shot
Upsize a small product photo for a banner.
Which model for upscaling
Both live in the same Renoise canvas — pick by what the image needs. Nano Banana Pro for photoreal faces, skin, and lighting; GPT Image 2 when the detail is instruction-heavy and you want precise control.
| For upscaling | Nano Banana ProRecommended | GPT Image 2 |
|---|---|---|
| Best for | Photoreal faces and skin | Precise, detail-heavy fixes |
| Detail at size | Best | Good |
| Reference images | Multi-reference | Up to 16 |
| Up to 4K export | ✓ | ✓ |
| Same canvas | ✓ | ✓ |
Generative re-render vs pixel-faithful upscaling
It helps to know what AI upscaling in Renoise actually is — because it is not the same thing as a classic upscaler. A pixel-faithful upscaler (think Gigapixel-style tools) interpolates the pixels you already have: it enlarges the source and tries to preserve the original information without inventing anything new. It is conservative and predictable, but it can only work with the detail that survived the low resolution.
Renoise takes the generative route. When you run a small image through Nano Banana Pro or GPT Image 2 as image-to-image, the model re-renders the picture at the target resolution, rebuilding detail it infers from context — skin texture, hair, fabric, edges — so it fills the larger canvas convincingly. That means a re-render at 4K can look far better than a straight stretch, but it is an interpretation: fine specifics may shift, so it is not lossless and not pixel-for-pixel identical to the source.
If your image is already the right size and you only want it cleaner — deblurred, denoised, sharper — that is a different job, handled on the image enhancer guide. For upscaling: upload to Canvas, set 2K or 4K, prompt "upscale, keep the same subject, framing, and colors", and lock the composition so the model rebuilds rather than reimagines. Use Nano Banana Pro for faces and skin, GPT Image 2 when detail is heavy. Always compare against the original before you ship.
Renoise capabilities used
Upscaling leans on a few things — and Renoise gives you Nano Banana Pro, GPT Image 2, and other image models in one canvas.
Nano Banana Pro
Re-renders photoreal skin, faces, and lighting convincingly at the larger size.
GPT Image 2
Tight instruction following for detail-heavy images; fuses up to 16 reference images.
Up to 4K
Export the re-rendered image at 1K, 2K, or 4K for print, large display, or archives.
Upscale, then keep creating
Stay on the same canvas to restyle, extend, or animate the upscaled image into a video.
Classic upscaler vs Renoise
Standalone upscaler app
- Interpolates existing pixels only
- A separate single-purpose tool
- No way to keep editing the result
- One model, one style of result
- Detail limited to what survived
Renoise
- Generative re-render fills the larger size
- Pick Nano Banana Pro, GPT Image 2, or more
- Restyle or animate it on the same canvas
- One plan, every image model
- Export up to 4K right away
Choose your plan
One plan unlocks Nano Banana Pro, GPT Image 2, and every other image model.
✓ Current Plan
Starter
$20/mo
Upgrade Plan1,200©/mo
$1.67 / 100©Generate up to 3,000 images or 150 videos every month.✓Watermark-free exports
✓20 FacePass Assets
✓Image Models
✓Video Models
✓ Current Plan
Standard
$60/mo
Upgrade Plan3,600©/mo
$1.67 / 100©Generate up to 9,000 images or 450 videos every month.✓Watermark-free exports
✓50 FacePass Assets
✓Latest Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest Video Models
Seedance 2.0 HappyHorse 1.0
◈ Best Value✓ Current Plan
Advance
$200/mo
Upgrade Plan14,000©/mo
$1.43 / 100©Generate up to 35,000 images or 1,750 videos every month.✓Watermark-free exports
✓Unlimited FacePass Assets
✓Latest SOTA Image Models
GPT Image 2 Nano Banana 2 Nano Banana Pro Midjourney V7
✓Latest SOTA Video Models
Seedance 2.0 HappyHorse 1.0
Upscale your image
Re-render bigger, up to 4K, with watermark-free exports on paid plans.
Frequently asked questions
1.How does an AI image upscaler work?
In Renoise you upload the small image and an image model re-renders it at a higher resolution, rebuilding edges, faces, and texture from context to fill the larger size. This is generative re-render — the model repaints detail rather than only interpolating the original pixels.
2.Is this a true pixel-faithful upscaler?
No. Renoise upscales by generative re-render, not pixel-for-pixel enlargement. The result at 4K can look far better than a straight stretch, but fine specifics may shift, so it is not lossless. Lock the subject and composition in your prompt to stay close to the original.
3.What resolution can I export?
Up to 4K. Choose 1K for web, 2K for most uses, or 4K for print and framed copies. Set the output resolution before you generate so the image is re-rendered at the size you need.
4.What size source image works best?
Any size works, but the more detail the source has, the closer the upscale stays to it. A very small or soft source means the model infers more, so compare against the original at full size before exporting.
5.What's the difference between upscaling and enhancing?
Upscaling makes a small image bigger — it changes the resolution. Enhancing improves quality at the same size — deblur, denoise, sharpen. If your image is already the right size and just looks soft, use the image enhancer guide instead.
6.Which model is best for upscaling?
Nano Banana Pro for most images — it re-renders photoreal skin, faces, and lighting convincingly at the larger size. Switch to GPT Image 2 for detail-heavy images like fine lettering or patterned fabric, where precise instruction following helps. Both live in the same canvas.
7.Can I keep working on the image after upscaling?
Yes. The upscaled image stays on the Canvas, so you can restyle it, extend it, or animate it into a video with another model — no re-upload, no switching tools.
8.Are upscaled images watermark-free?
Outputs are watermark-free on paid plans, so an upscaled image exports clean and ready to print, post, or share. The same canvas handles upscaling, restyling, and animating in one place.
By Leon, RenoiseLast reviewed Models verified: Nano Banana Pro, GPT Image 2