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Real-CUGAN

Free#28 of 32 in AI Video UpscalersVideo Upscaling Software Image Upscaling Software

Real-CUGAN: A capable free option for anime upscaling when local control matters. Ranked #28 of 32 in AI Video Upscalers by our editors (6.0/10); pricing: Free plan; best for anime and low-memory open-source use.

6.0/10Editor score

Visit Real-CUGAN

Real-CUGAN6.0 Visit Real-CUGAN

At a glance

Editor score
6.0 / 10
Pricing
Free plan
Best for
Anime and low-memory open-source use
Free plan
Yes
Paid from
Free
Facts checked
20 Sep 2026

Where it wins
- 2x, 3x, and 4x models with adjustable enhancement strength
- Low-memory modes support constrained hardware
- Image, video, Python, Windows, and VapourSynth workflows
Where it doesn't
- Primarily focused on anime images and videos
- Local and developer-integrated workflows require technical choices
- Its video workflow is narrower than broad batch upscaling tools

Our verdict on Real-CUGAN

Real-CUGAN is an open-source AI super-resolution model designed primarily for anime images and videos. It suits users who want local or developer-integrated processing rather than a conventional hosted editor. The project supports 2x, 3x, and 4x super-resolution, several denoising-strength model weights, conservative processing, and adjustable enhancement through the alpha parameter. Image and video inference are both supported, with Python scripts, a Windows executable environment, and simple GUI support available for different workflows.

Its strongest advantage is control over the enhancement process. Users can choose the scale, denoising strength, and conservative mode, while low-memory and faster low-memory modes address constrained hardware. The project also includes an NCNN implementation and integrates with VapourSynth, waifu2x-caffe, and NCNN. These options make Real-CUGAN relevant to open-source workflows that need tunable processing rather than a single automatic preset. The MIT License further supports local use and developer integration.

Real-CUGAN is a focused choice, not a broad video production suite. Its positioning centers on anime content, and its documented workflow is narrower than tools built around extensive batch processing or general-purpose media enhancement. Users who want model-level control, low-memory operation, image and video inference, or VapourSynth compatibility should consider it. Those seeking a polished hosted service, a simple all-purpose video editor, or a wider batch-oriented workflow should look elsewhere.

Your product? Our editors can test Real-CUGAN in depth and publish a review, labelled as paid · from $149/mo →

Real-CUGAN pricing

Plans Free planFree Free to use — no paid tier required for the core job.

See plans on github.com

Real-CUGAN fact sheet

Free plan	Yes
Paid from	Free
Max output resolution	Not verified
Enhancement modes	2x, 3x, 4x; denoising strengths; conservative mode; adjustable alpha
Frame interpolation	Not verified
Batch processing	Not verified
Supported video formats	Not verified
Desktop app	Yes
API access	Not verified
Deployment	Desktop, Self-hosted, Mobile
Platforms	Web, Windows, Android
Support	Docs
Built for	Solo, Small business (editorial estimate)
Integrations	3 integrations: VapourSynth, waifu2x-caffe, NCNN
Pricing	Free plan
Website	github.com
Facts checked	20 Sep 2026

Real-CUGAN integrations

Real-CUGAN lists 3 integrations on its own site.

VapourSynth
waifu2x-caffe
NCNN

Alternatives to Real-CUGAN

See all Real-CUGAN alternatives →

Also Ranked In

Real-CUGAN is ranked in 3 of our directories.

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The editor score above is our own research. What this page doesn't have yet is a reader's view — what you used Real-CUGAN for, what worked and what didn't. No stars are seeded and no review is paid for; an editor reads every one before it appears.

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Featured on iTechGuides

Real-CUGAN is listed in our AI Video Upscalers directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 7 Oct 2026 · How we research and update