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Krea vs neural.love

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Free plan
Both have one
Public API
Both have one
Best fit
Krea: Designers and concept artists who iterate visually on a canvas rather than through prompt rewrites · neural.love: Restoring, upscaling and colorizing archival photos and footage
Trust score
About even — Krea 91, neural.love 90
Status
Both up at our last check (Sep 6, 2026)

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactKreaneural.love
CategoryText-to-Image GeneratorsImage Upscaling & Restoration
Pricing modelFreemiumFreemium
Starts at$21/mo—
Public APIYesYes
Trust score91 / 10090 / 100
PlatformsWeb, APIWeb, API
CompanyKrea.ai, Inc.Neural Love OÜ
Launched—2020
Last verifiedSep 6, 2026Sep 6, 2026

What our research says

Krea

Krea is the aggregator to pick when you want one subscription that covers image, video, upscaling and 3D instead of four, and the real-time canvas is still the fastest way to steer a composition by hand. The trade-off is that you are renting other people's models at a markup measured in compute units, so heavy video users should check the per-generation unit costs before trusting the headline price.

Pros

  • Real-time canvas renders in under 50 ms, which makes composition a direct-manipulation task
  • Own Krea 2 model plus a long list of third-party image and video models in one place
  • Free tier refills daily rather than once, so it stays usable for light work
  • Public API with an SDK and MCP server, and LoRA training from as few as 50 images

Cons

  • Compute units are an abstraction over very different model costs, so the monthly pool is hard to budget
  • Pro and Max units expire at month end and extra packs expire after 90 days
  • Visible prices and the page's structured data disagreed on the Max tier today
  • Video generation is unavailable on the free plan (video concurrency 0)

neural.love

Come here for restoration and upscaling of old material rather than for generation, which is where this team has been strong since its archival film work. For new image creation, Krea or Magnific will give you noticeably better output per credit spent.

Pros

  • Upscaling and colorization are the original specialty and still the strongest part
  • Single credit balance spans subscription allowance and one-off top-ups
  • Public API with reference documentation for automated pipelines
  • Free public-domain image library alongside the paid tools

Cons

  • Prices and credit rates are not readable without loading the app, which makes budgeting awkward
  • Generation quality sits behind current image-model front-runners
  • Credits are spent per job, so unsatisfying runs still cost you
  • Small team relative to competitors, so feature pace is uneven

Which one fits

Choose Krea if you need

  • Designers and concept artists who iterate visually on a canvas rather than through prompt rewrites
  • Small studios that want current image and video models under one bill without managing API keys
  • Anyone upscaling and cleaning up stills or short clips for print or social

Choose neural.love if you need

  • Restoring, upscaling and colorizing archival photos and footage
  • Cleaning up low-resolution assets before print or video use
  • Batch enhancement automated through the API
  • Users who want one credit pool spanning several media tasks

Krea vs neural.love: the questions people ask

Is Krea cheaper than neural.love?

Krea starts at $21/mo. neural.love has a free tier; what its paid plans cost is not confirmed by us yet.

Does Krea or neural.love have a free tier?

Both: Krea has a free tier, and neural.love has a free tier.

Which has a public API, Krea or neural.love?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

All Krea alternatives →All neural.love alternatives →Browse all Text-to-Image Generators →