Free
Free
GitHub Pages documentation distributes the OSS project without a paid hosted inference product on the docs site.
- Access
- GitHub Pages documentation distributes the OSS project without a paid hosted inference product on the docs site.
Image Super-Resolution
● Identity checkedImages · Vendor site 2026-10-04
Image Super-Resolution is an open-source research project and Python library from idealo for training and running CNN-based single-image super-resolution models such as RDN and RRDN. Documentation covers installation, model weights, inference notebooks, and architecture references on GitHub Pages.
- Category
- Images
- Free access
- GitHub Pages documentation distributes the OSS project without a paid hosted inference product on the docs site.
- API access
- Library is consumed programmatically in Python pipelines rather than through a vendor-hosted API on the docs homepage.
Is Image Super-Resolution right for you?
A good fit for
ML engineers and researchers experimenting with classical CNN super-resolution models on their own hardware.
Before you choose
Homepage is project documentation on GitHub Pages, not a commercial SaaS with monthly USD inference pricing.
Research super-resolution library
The idealo Image Super-Resolution project documents training and inference for CNN upscaling models aimed at developers, not casual cloud upscaling shoppers.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
| Capability | Value | Evidence | Checked |
|---|---|---|---|
| CNN models | Docs site hosts the Image Super-Resolution project describing RDN/RRDN-style model workflows. | Facts sourced | 2026-10-04 |
| Open source | Project is published under idealo’s GitHub Pages documentation for community use. | Facts sourced | 2026-10-04 |
| Research focus | Site structure matches a research library with guides rather than a consumer photo upscaler SaaS. | Facts sourced | 2026-10-04 |
Understand the total cost
Image Super-Resolution pricing & plans
Alternatives to Image Super-Resolution
View all ↗
10b.ai10b.ai hosts Z-Image and other open-source image and video models for text-to-image, editing, upscaling, background removal, and motion workflows. Credits power generations across a broad effects and video library in the browser.
Explore tool
AI InfographicsMasonry's AI Infographic Generator turns outlines, stats, or sketches into polished process flows, timelines, comparisons, and data visuals using multiple image models in one workspace. Teams compare model outputs side by side before exporting high-resolution assets.
Explore tool
Anime Art StudioAnime Art Studio is an online anime generator with text-to-image, image-to-image, voice, and video models drawn from a large open-model library. Paid memberships add monthly credits, while the homepage also advertises always-on free generator access.
Explore toolThe practical questions
Frequently asked questions
What is Image Super-Resolution used for?
Image Super-Resolution is an open-source research project and Python library from idealo for training and running CNN-based single-image super-resolution models such as RDN and RRDN. Documentation covers installation, model weights, inference notebooks, and architecture references on GitHub Pages.
Does Image Super-Resolution have a free plan?
GitHub Pages documentation distributes the OSS project without a paid hosted inference product on the docs site.. This record lists ongoing free access; check the plan limits before starting.
How much does Image Super-Resolution cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use Image Super-Resolution through an API?
Library is consumed programmatically in Python pipelines rather than through a vendor-hosted API on the docs homepage.. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
Homepage is project documentation on GitHub Pages, not a commercial SaaS with monthly USD inference pricing.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.
How this profile is supported
Identity and profile
Reviewed vendor source
Read original source ↗Facts apply to the named version and check date. Send a sourced correction if something changed.