AI Image Upscalers Compared: Magnific Creative vs Precision, BytePlus Ultra HD, P-Image (2026)
Last updated August 7, 2026
Every AI image upscaler either invents detail or preserves it. Magnific Creative is prompt-guided invention up to 16x for art direction; Magnific Precision preserves text, UI, and logos faithfully; a skin enhancer de-waxes AI portraits; BytePlus Ultra HD targets fixed 2K/4K/8K outputs; P-Image Upscale is the sub-second bulk tier. All five run as image tools in invideo's agent.
Updated August 2026
Every AI image upscaler makes one fundamental choice: invent detail or preserve it. That single axis explains the category. Magnific's Creative upscaler invents — prompt-guided, stylizing, happily hallucinating texture up to 16× — while Magnific's Precision upscaler preserves text, logos, and UI pixels faithfully. Around those poles sit the specialists: a skin-focused enhancer, BytePlus's Ultra HD tiers for fixed 2K/4K/8K targets, and P-Image Upscale for sub-second bulk work. Here's what each is for, and how to choose — the same lineup you'll meet in invideo's image tools.
Which AI image upscaler should you pick?
| Model | Invents or preserves? | Reach for it when |
|---|---|---|
| Magnific Upscaler Creative | Invents | Art direction: portraits, illustration, game assets, archviz that should look better, not just bigger |
| Magnific Upscaler Precision | Preserves | E-commerce, logos, UI screenshots, scans — anything where changed pixels are a bug |
| Magnific Skin Enhancer | Targeted invention | AI portraits with plastic-looking skin |
| BytePlus Ultra HD (2K/4K/8K) | Preserves | Fixed-resolution delivery targets |
| P-Image Upscale | Light enhancement | Bulk jobs where speed and volume beat maximum quality |
The middle column is the entire decision: answer invent-or-preserve honestly for your image and five rows collapse to one or two.
What does Magnific Creative actually do?
Magnific's Creative upscaler is prompt-guided enhancement that can introduce or infer new detail — you tell it what the image is (or should become) and it re-imagines texture, skin, foliage, and material at 2×, 4×, 8×, or 16×. Per the official Magnific API docs (August 2026), pricing is by output pixel area — from around €0.10 for a small 2× job to €0.50 at 8× — and the intended uses are exactly where hallucination is a feature: portraits, illustration, game assets, archviz, marketing imagery.
The trade is explicit: Creative will change pixels. Faces can drift, patterns mutate, tiny text gets redrawn into plausible nonsense. If that made you nervous, you want Precision. (Housekeeping: Magnific's docs and API now live at magnific.com — the Freepik-era documentation redirects there as of August 2026.)
When do you need Magnific Precision instead?
Whenever the image contains something that must survive enlargement unchanged. Magnific describes Precision as high-fidelity upscaling that preserves original content, small text, UI, and fine details without adding new elements — 2×–16× supported (2×–4× optimal), plus halo suppression, artifact cleanup, and color consistency. A concrete number from the official docs: enlarging 1920×1080 to 4K costs €0.20. A Precision V2 also appears in the current API docs.
This is the default for product photos, packaging, logos, screenshots, diagrams, and scans — categories where Creative's inventiveness is the failure mode. Rule of thumb: if a lawyer, brand manager, or customer could object to changed pixels, use Precision.
What about the Skin Enhancer and BytePlus Ultra HD?
Two entries here are described as they appear in invideo's model picker, because we could not verify either as a standalone public API under these names as of August 2026 — treat the specifics as in-product descriptions rather than vendor documentation.
Magnific Skin Enhancer targets the most common tell of AI-generated portraits: waxy, poreless skin. As surfaced in the picker, it's a focused pass that rebuilds believable skin texture on faces without re-imagining the rest of the frame — a scalpel where Creative is a paintbrush. Magnific's public API docs don't currently list a skin-specific endpoint, so consider it an app-level capability.
BytePlus Ultra HD (2K/4K/8K) presents as fixed-target enlargement from ByteDance's BytePlus cloud: pick the delivery resolution and the model handles the scale factor. That mirrors how BytePlus's verified video enhancement line works (its VOD super-resolution reaches 8K per official docs), but we found no public product page under the "Ultra HD" image name — rely on the in-product tiers, not external claims.
What is P-Image Upscale, and why is it so fast?
P-Image Upscale comes from Pruna AI, whose entire business is model compression — and it shows: the upscaler is billed as the fastest available, returning results in under a second up to 4-megapixel output (per its public hosted listing, August 2026). Verified specs on public hosting cap output at 8MP with a 1–8× factor, plus toggles for realism enhancement (tuned for AI-generated images, on by default) and detail enhancement. invideo's picker lists a wider 1–128MP range; figures above 8MP come from that in-product description and Pruna's own claims rather than the publicly verifiable schema, so plan critical ultra-large-format work accordingly.
Where it wins is volume: thumbnails, catalogs, social batches — every pipeline where a hundred images need to get 4× bigger now. The trade is that it enhances rather than re-imagines, so a truly degraded source stays mediocre, just larger and cleaner.
How do you choose in practice?
Route by what the image is for. Hero art and portfolio pieces → Creative, with a prompt, accepting the hallucination. Anything commercial with text, product edges, or brand marks → Precision. AI portraits that look airbrushed → a skin pass. Bulk and speed → P-Image. Fixed broadcast or print targets → a resolution-tier model. And upscaling is the second half of a broader image enhancer workflow — denoise and correct first, enlarge second — while pure size jobs (print, posters) are classic photo enlarger territory where Precision-style fidelity matters most.
Common questions
What's the difference between Magnific Creative and Precision?
Creative is prompt-guided and invents new detail — it can stylize and "re-imagine" an image at up to 16×, which means pixels change. Precision preserves the original content, including small text, UI, and logos, and is optimal at 2×–4×. Choose by whether changed pixels would delight you or get the job rejected.
What is the best AI image upscaler for AI-generated images?
For hero images, Magnific Creative (it rebuilds texture AI generators skip); for waxy faces specifically, a skin-focused enhancement pass; for bulk AI output, P-Image Upscale with its realism toggle, which is tuned for AI-generated sources and returns results in under a second at typical sizes.
How much does Magnific cost per image?
Per the official API docs (August 2026), pricing scales with output area: roughly €0.10 for a small 2× Creative job, €0.50 at 8×, and €0.20 to take 1920×1080 to 4K with Precision. Exact cost depends on output pixels, not input size.
How large can AI upscalers make an image?
Magnific's Creative and Precision both reach 16× scale factors; P-Image outputs a verified 8MP on public hosting (with larger tiers listed in-product up to 128MP); BytePlus Ultra HD targets fixed 2K/4K/8K deliverables per its picker tiers.
Should I upscale before or after editing?
Enhance and correct first, upscale last — enlargement amplifies whatever artifacts remain, and upscaling early multiplies the pixels every later edit must process.
Where do these models live?
All five run inside invideo's agent as image tools, next door to the AI image generator models whose output they most often polish — which is the workflow in miniature: generate with Flux or Nano Banana, fix the skin, then Precision-upscale for delivery, all in one thread instead of three subscriptions. One platform, every major model, and the invent-versus-preserve decision is the only one you still have to make yourself.
Version history: first published August 2026, covering Magnific Creative/Precision (magnific.com API docs, August 2026), P-Image Upscale (Pruna AI), and picker-described entries flagged inline.