Best AI Upscalers in 2026: Faithful or Creative?

Every upscaler demo is a blurry cat turning into a sharp cat. Nobody shows you the other result: the product label that came back with new letters, the grandmother whose face got quietly replaced with a nicer stranger, the AI clip that's now 4K and flickers like a broken neon sign. Making pixels is easy. Making the right pixels is the whole job.

So this guide to the best AI upscalers in 2026 starts from one question you should answer before you pick a model: are you allowed to invent detail, or not? A product photo for a catalogue isn't. A Midjourney-style concept frame usually is. Archival footage sits somewhere in between. Below, the partner models on each::labs sorted by that question, from Topaz, Recraft, Pruna and Black Forest Labs, plus the video models from Topaz and PixVerse, with what each one is for and when to reach for it.

Faithful or Creative: The Only AI Upscaler Question That Matters

There are two families of AI upscalers, and mixing them up is how good images get ruined. Faithful upscalers enlarge what's there. They sharpen edges, remove noise and compression blocks, and try very hard not to add anything you didn't shoot. Creative upscalers (Topaz calls them generative) rebuild the image at a higher resolution and are allowed to imagine texture, pores, fabric weave and leaf veins that weren't in the source.

Neither is better. They're for different jobs. Faithful is the default for anything that has to stay true: products, documents, logos, real people, client photography. Creative is for images that were never real in the first place, or so degraded that faithful enlargement would just give you a bigger blur. The mistake to avoid is running a creative model over a product shot and shipping it without checking the lettering.

A simple rule: if someone could hold the original next to your output and object, start faithful. If the only thing that matters is that the result looks great, try creative.

Topaz Gigapixel Standard 2: The Safe Default for Photos

If you only learn one image upscaler, make it Topaz Gigapixel Standard 2. Topaz describes it as its general-purpose model, recommended for most photos and graphics, built to keep detail and structure true to the input. That's exactly what you want from a default.

On each::labs it gives you real controls rather than a single button. You set the target with output_width or output_height (set one and Topaz scales the other), and you can dial denoise and fix_compression separately, which matters when the source is a heavily compressed JPEG from a supplier. Face recovery is opt-in, with separate strength and creativity values. Leave it off for product work. Turn it on, gently, for portraits that came in too small.

Pick it for e-commerce catalogues, print enlargements and any client photo you can't afford to reinterpret. We walked through that kind of pipeline in our guide to upscaling for product catalogs and print.

Topaz Image Upscale: One Endpoint, Many Specialist Models

Sometimes "general purpose" is the problem. A screenshot full of small type, a game asset with hard edges and a 300 pixel thumbnail all fail in different ways. Topaz Image Upscale exposes a model field that lets you choose the specialist: Standard V2, High Fidelity V2, Graphics, Low Resolution, CG Art & Game Assets and Text Refinement, along with their V1 versions.

That one field is the reason to use it. Text Refinement for a slide or UI capture. CG Art & Game Assets for renders and illustrations. Low Resolution for tiny sources. High Fidelity when the original is already good and you just need more pixels without any change in character. The endpoint also has subject_detection (all, foreground or background) and face enhancement switched on by default at a strength of 0.8, so turn that off explicitly if there are faces you need left exactly as shot.

Recraft Crisp and Creative Upscale: Two Buttons, Two Promises

Recraft splits the decision into two endpoints, which makes it the cleanest way to see the faithful versus creative difference for yourself. Recraft's documentation says Crisp Upscale increases resolution without altering content, while Creative Upscale regenerates details, with a focus on faces and small elements.

Both take a single image and return PNG or WebP, with no prompt to write. On each::labs, inputs must be under 20 MB and at most 16 MP with both sides no larger than 4096 pixels. Crisp accepts images down to 32 pixels per side, Creative needs at least 256. Use Crisp for brand graphics, illustrations and anything Recraft generated in the first place. Use Creative when a small AI image with soft faces has to become a hero visual. Run the same file through both once, and you'll know which one your pipeline needs.

Pruna P-Image Upscale and Flux Vision Upscaler for AI Images

Generated images have their own failure mode when you enlarge them: plastic skin, mushy fabric, backgrounds that turn to porridge at 4x. Two models on each::labs are tuned for this.

Pruna P-Image Upscale is pitched by Pruna as a final polish pass for images whose composition is already right. It takes no text prompt. Its two switches are the interesting part: enhance_details sharpens fine textures and small details (and may raise contrast a little), and enhance_realism, which Pruna recommends for AI-generated images, improves realism at the cost of drifting further from the original. The target value sets the output size in megapixels, and Pruna's docs put the ceiling at 128 MP.

Flux Vision Upscaler from the Black Forest Labs family gives you the dial directly. Its creativity parameter defaults to 0.3, alongside guidance, steps and a seed for repeatable results. Keep creativity low when the image is close to final. Push it when the source is small and you want the model to invent convincing texture. Because it's seeded, you can lock a result you like and reproduce it later.

Topaz Wonder 3.5: When the Source Is a Mess

Topaz Wonder 3.5 is the creative end of the Topaz range. Topaz calls it its highest-quality generative upscaling model, built for everything from clean inputs to heavily degraded and compressed images. According to Topaz, 3.5 improves on Wonder 3 with finer detail, fewer repetitive patterns, better handling of noise and more precision on structured graphics like tables and charts.

On each::labs you choose an enhancement_strength of low, medium or high, set the output size, and can add film grain (silver, gaussian or grey, with density, size and strength) so a restored photo doesn't look suspiciously smooth. That grain option is a small thing that separates a believable restoration from an obviously processed one. Pick Wonder for old family photos, screenshots of screenshots, and low-resolution web images that faithful upscalers can only make bigger, not better. If your source is a damaged portrait, our GFPGAN face restoration guide pairs well with it.

Best AI Video Upscalers: Starlight, Proteus and PixVerse 4K

Video adds a problem images don't have: every frame has to agree with the one before it. An upscaler that invents slightly different detail on each frame gives you shimmer, and shimmer is worse than softness.

Topaz Starlight Precise 2.6 is Topaz's diffusion video enhancement model for upscaling to 4K, aimed at both AI-generated and archival footage, and Topaz says 2.6 improves temporal consistency over the previous version. It has a sharpness control from 1 to 5 and full control over output size, codec and container. It's the pick for generated clips that need to survive a big screen. We covered it in depth in Starlight Precise 2.6: AI video that looks shot.

Topaz Proteus is the faithful counterpart. Topaz calls it the default choice for most video upscaling, strong on old, grainy or heavily compressed footage, and it handles interlaced sources too. Its controls cover compression recovery, detail, sharpening, noise reduction, dehalo and deblur. Use it for real camera footage you need to keep honest. For a one-call option, Topaz Upscale Video takes an upscale_factor (2 by default) and an optional target frame rate, and PixVerse 4K Video Upscale needs nothing but a video URL and returns 4K, which makes it the simplest last step after a PixVerse generation.

And if the problem is choppy motion rather than resolution, Topaz Apollo is a frame interpolation model: it can raise the frame rate (60 fps by default in the schema), create slow motion and remove duplicate frames.

Which AI Upscaler to Pick for Which Job

Product photos, documents and anything a client will compare against the original: Topaz Gigapixel Standard 2 or Recraft Crisp Upscale. Screenshots, UI and type-heavy images: Topaz Image Upscale with Text Refinement. Small or soft AI images headed for a hero slot: Pruna P-Image Upscale with realism on, Recraft Creative Upscale, or Flux Vision Upscaler with creativity raised. Badly degraded old photos: Topaz Wonder 3.5 with a touch of grain. Generated video going to 4K: Starlight Precise 2.6. Real footage: Proteus. Fastest finish for a PixVerse clip: PixVerse 4K.

The practical move is to stop choosing in the abstract. Pick two candidates, run your five most typical images through both, and look at text, faces and edges at 100 percent. Since every model here sits behind the same each::labs API, that test is a model id change, not a new integration. Upscaling is also a natural last step in a chain: generate, upscale, animate. Our walkthrough on chaining image, upscale and video in one call shows the pattern, and each::labs flows let you save it. Browse the rest of the image-to-image models and video-to-video models for the wider field.

Frequently Asked Questions

What is the best AI upscaler for photos in 2026?

For real photos that have to stay true, Topaz Gigapixel Standard 2 is the safest default: Topaz built it as a general-purpose model that keeps detail and structure true to the input. Move to Wonder 3.5 only when the source is too degraded for faithful enlargement to help.

Will an AI upscaler change my image?

Creative ones will, by design. Recraft Creative Upscale, Wonder 3.5, Pruna's realism option and a high Flux creativity value all add detail that wasn't there. Faithful models like Gigapixel Standard 2 and Recraft Crisp Upscale aim not to. Always check lettering, logos and faces at full size.

Which Topaz upscale model should I use for video?

Starlight Precise 2.6 for AI-generated clips and footage you want rebuilt to 4K, Proteus for real camera footage you need to keep faithful, and Apollo when the issue is frame rate rather than resolution.

Can I upscale AI-generated images without a prompt?

Yes. Every image upscaler in this list works from the image alone. Pruna P-Image Upscale and the Recraft endpoints take no prompt at all, and the Topaz models are steered with settings, not text.