Image · Head-to-Head

Topaz Gigapixel vs. Magnific for AI Image Upscaling

Two tools that both call themselves upscalers, doing very different jobs. We ran the same 40 images through both for two weeks and graded the outputs on fidelity, invented detail, price, and workflow fit.

Tested by Hannah Osei · July 4, 2026 · 4 rounds

Topaz Gigapixel

Topaz Labs

3rounds

87 / 100 overall

Magnific

Magnific (Freepik)

1round

82 / 100 overall

The verdict

If your source is a real photograph, a portrait, a product shot, a scanned family picture, a real-estate listing, anything a client expects to look like itself, Topaz Gigapixel is the pick. It runs on your machine, keeps the image faithful to what was actually there, and costs less per month than Magnific's cheapest plan. If your source is an AI generation, a low-res illustration, or a concept render that would genuinely benefit from invented texture, Magnific is worth the price. Its Creativity slider does something no other upscaler does as well, and Precision mode has narrowed the gap on photography without closing it. Most working creatives will end up with Topaz as the default and reach for Magnific only on hero shots.

Topaz Gigapixel and Magnific both bill themselves as AI image upscalers, but they answer different questions. Gigapixel tries to reconstruct the detail that was probably there in the original scene. Magnific tries to invent plausible new detail guided by a prompt and a slider. Picking the wrong one isn't a small mistake. Run a portrait of your grandmother through Magnific at high creativity and you get a stranger who looks like her. Run a Midjourney render through Gigapixel and you leave detail on the table.

We ran both tools for two weeks on the same 40 images: a mix of real photography (portraits, product shots, a scanned print, real-estate exteriors) and AI-generated work (Midjourney and Flux at 1024px, a Stable Diffusion illustration). We scored four rounds: how faithfully each tool handles real photos, how well each one lifts AI art, what it costs in real use, and how it fits into a working editing routine. Each round names the procedure before the result.

Round by round

Fidelity on real photographs

WinnerTopaz Gigapixel

How we testedWe took 20 real photos, five portraits, five product shots, five real-estate exteriors, and five older scans, and ran a 4x upscale in each tool at its default recommended setting. Two of us then rated each output blind on a 1-to-5 scale for detail recovery, artifact handling, and whether the subject still looked like the same subject. File names were randomized before rating.

Gigapixel was the more faithful tool on every photo category. Portraits kept the person's identity, product shots didn't sprout invented textures on fabrics or plastics, and the scanned print came back sharper without new artifacts. That tracks with how each tool works under the hood: photo-trained networks like Topaz emphasize literal texture and noise control, while diffusion upscalers like Magnific add new detail guided by the source plus a prompt . It also matches what independent testing has found: Magnific is aggressive; it often changes the geometry of a face or adds unwanted elements to increase detail . Gigapixel's model selection helped, since Topaz ships a deep model library covering Standard, High Fidelity, Low Res, Text and Shapes, Art and CG, Recover, Redefine, and Face Recovery, so photographers can match a model to the source instead of running one generic upscale . Magnific's Precision mode, added in 2025, was the closer of the two on real photos, but as of our test Precision mode caters to photographers who need faithful reproduction rather than creative embellishment, though it is currently limited to 2x upscaling , which capped what we could do with it on the 4x task.

Creative lift on AI art and illustration

WinnerMagnific

How we testedWe took 20 AI-generated and low-res illustration sources at roughly 1024px and asked each tool for a 4x upscale. On Magnific we used Creative mode with the Creativity slider around 5 out of 10 and added a short prompt describing texture and lighting. On Gigapixel we used the Redefine model, which is Topaz's diffusion-based creative option. We rated the outputs blind on believable detail and how print-ready the final file felt at 4096 pixels.

Magnific is the tool this round was built for. Unlike Topaz, Magnific is a hallucination engine. It uses similar technology to Stable Diffusion to dream up new details based on your image. It allows you to control the Creativity and Resemblance. Set the slider to zero, and it acts like a normal upscaler. Crank it to five, and it will start adding wrinkles to skin, stitching to clothes, and leaves to trees. On a 1024px Midjourney render, the difference at 4096px was obvious: Magnific produced skin pores, fabric weave, and foliage that looked like a photograph, while Gigapixel produced a cleaner but flatter version of the source. The prompt input mattered too. A Creativity slider tunes how far the model strays from the source, and a prompt input lets you describe the texture, surface, or feel to push during the enlarge. The trade-off is that the same knobs bite when you push them: on two of our AI portraits at Creativity 7, Magnific altered the subject's facial structure enough that we'd have thrown the result out for client work. Use it for hero shots, not for identity.

Price and workflow

WinnerTopaz Gigapixel

How we testedWe compared current published pricing on both official sites for individual creators, then modeled a month of typical use for a working designer (roughly 40 upscales, mixed sources). We also factored in the platform changes both products shipped in 2025 and 2026.

Gigapixel is cheaper for individuals at every level of use we modeled. As of April 28, 2026, Topaz Gigapixel Personal is listed at $12 per month billed annually at $149. Magnific starts higher: Magnific AI pricing is Pro $39/mo, Premium $99/mo, Business $299/mo. The billing model matters too. Unused tokens expire monthly with no rollover, users report feeling pressured to use credits they don't need , while Gigapixel gives you unlimited cloud rendering included at the subscription tier. Two caveats worth naming. Topaz moved off the old perpetual license in 2025, in September 2025, Topaz AI pricing switched to subscription-only, and perpetual plans are no longer available , which upset a lot of longtime users. And Magnific's parent completed a rebrand this spring: Freepik rebranded entirely to Magnific in April 2026, moving its pricing page, all subscriptions, and every AI tool to a new domain. The upscaler itself is unchanged, but if you subscribe today you're buying into a broader creative suite, not a standalone tool.

Fit in a real editing routine

WinnerTopaz Gigapixel

How we testedWe tried to slot each tool into a normal photo-editing week: batch-upscaling a small shoot from Lightroom, upscaling a single hero image from a browser, and handing off files to a designer working in Photoshop. We scored setup friction, plugin behavior, and how much extra software each workflow required.

Gigapixel sits closer to where photo editors already work. The Lightroom and Photoshop plugins land the upscale step inside an existing photo edit, where most cloud tools can't reach. Files stay on the machine: it runs on your local GPU so the source file never leaves the desktop , which matters for anyone handling client, confidential, or unreleased work. The catch is hardware. If you do not have a capable GPU, generative models need 8GB+ VRAM on Windows or 16GB+ unified memory on Apple Silicon. Magnific runs in the browser and needs nothing installed, which is the right call for a designer on a laptop who upscales occasionally, but it does mean uploading every file to a third party and waiting through a queue: Premium users report waiting several minutes per upscale despite paying $99/mo at peak times. For most photo-first workflows, Gigapixel disappeared into the routine. Magnific always felt like a detour.

Topaz Gigapixel and Magnific both call themselves upscalers, but the word means different things in each tool. Gigapixel tries to reconstruct the detail that was probably there in the original scene. Magnific tries to invent plausible new detail using a diffusion model, guided by your prompt and a slider. Once you internalize that split, the choice is almost mechanical: match the school to the source.

Where Topaz Gigapixel wins

Gigapixel is the safer default for anything that has to look like itself at the end. In our fidelity round it produced the cleanest portraits and the most honest product shots, and it kept faces recognizable at 4x where Magnific’s Creative mode drifted. Part of that is the model library. Topaz Gigapixel AI is the industry-leading image upscaler that maximizes both the level of detail and the accuracy to your original. It’s not just about creating new pixels, it’s about creating the right ones. So your images are larger and sharper, without losing the detail you started with. Picking the right model per source, Standard for general photos, High Fidelity for camera work, Face Recovery for degraded portraits, was worth more than any single setting change.

The workflow fit matters as much as the fidelity. Local processing means no upload queues and no third-party server sitting between you and a client’s unreleased image. The Lightroom and Photoshop plugins mean the upscale step happens where the rest of the edit already lives.

The real caveats are two. First, Gigapixel is now a subscription, and the pricing changes upset a lot of long-time users. Second, it does one thing: Gigapixel can only enlarge a source image you already have. If you need to produce a hero image for a landing page, social post, or product ad, you still need a separate AI image generator upstream. If you were hoping one tool would cover both generation and upscaling, this isn’t that tool.

Where Magnific wins

Magnific is the tool for AI art. On a 1024px Midjourney or Flux render, its Creative mode adds the kind of texture, skin pores, fabric weave, foliage, film grain, that other upscalers can’t invent because they weren’t trained to. The Creativity slider and prompt input give you real control over how far the model strays, which is exactly what a designer working on stylized covers or campaign visuals wants.

Two limits to know before you subscribe. First, the price is real: the cheapest plan is $39 a month, there’s no free tier, Magnific AI does not offer a free plan or a free trial , and unused tokens don’t roll over. Second, Magnific will change your image if you let it. On the AI portrait test, Creativity 7 altered facial structure enough that the result wouldn’t have passed client review. The tool works best on hero shots where reinvention is the goal, not on portraits where identity is the goal.

Who should pick which

Pick Topaz Gigapixel if your day is real photographs, product work, scans, or anything a client expects to look like itself, and you want the upscaler to live inside Lightroom or Photoshop. Pick Magnific if you produce AI art regularly, you want a diffusion-based creative lift on low-res generations, and the cost per hero shot is easy to justify against the finished piece. Most working creatives we know keep Gigapixel as the daily driver and reach for Magnific only when the source is AI and the goal is invention.

Sources

Frequently asked questions

Which tool should I buy if I mostly upscale real photographs?

Topaz Gigapixel. It's the more faithful tool on portraits, product shots, and scans, it runs locally so files never leave your machine, and Personal is listed at $12 per month billed annually at $149, less than Magnific's cheapest plan. Magnific's Precision mode is closer than it used to be on photos but is currently limited to 2x upscaling.

Which tool should I buy if I work mostly with AI-generated art?

Magnific. Its Creative mode and Creativity slider are designed for exactly this job: inventing plausible new detail in low-res generations from Midjourney, Flux, or Stable Diffusion. Just keep the slider low on anything where the subject's identity matters.

Is Topaz still sold as a perpetual license?

No. Topaz moved to subscription-only pricing in September 2025. Users who bought the older perpetual license before the switch can still use it, but they don't receive new model updates. If you see a listing for a new perpetual license from a third party, treat it with caution.

What happened with Magnific and Freepik?

Freepik acquired Magnific in May 2024 and, in April 2026, rebranded the entire Freepik platform as Magnific. Existing subscriptions and API keys transferred automatically. The upscaler itself is unchanged, but it now lives inside a broader creative suite rather than as a standalone product.