Side by side
LetsEnhance vs Real-CUGAN
Both stand on image upscaling software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.
Free plan API
LetsEnhance offers multiple upscale factors, custom dimensions, and several enhancement modes, with batch processing and API access. Check the free input and output limits, watermark, and credit-expiry rules before choosing a plan.
Visit LetsEnhance Free plan AndroidLinuxMac+3
Real-CUGAN offers anime-focused upscaling with multiple enlargement levels and enhancement strengths. Users should note the Windows Nvidia memory requirement and the slow CPU demo; NCNN packages provide another listed route.
Visit Real-CUGANThe facts
| LetsEnhance | Real-CUGAN | |
|---|---|---|
| Free plan | Yes | Yes |
| Open source | Not published | Not published |
| Runs on | API | Android, Linux, Mac, Self-hosted, Web, Windows |
| Lowest paid plan | Starter: $9 a month | Free or on request |
| Plans published | 4 | 1 |
| Maker | LetsEnhance | Not published |
| Website | letsenhance.io | github.com |
| On image upscaling software | #22 of 99 | #18 of 99 |
LetsEnhance: what it does well
- Supports JPG, PNG, and WebP uploads.
- Offers 2x, 4x, 8x, 16x, and custom sizing.
- Batch processing and API access are available.
- Free signup provides 10 credits without a credit card.
- Paid users have the watermark removed.
What to know first
- Free output is limited to 8 megapixels.
- Free-plan images include a watermark.
- Starter costs $9 a month, billed annually.
- Credits expire when a subscription ends.
Real-CUGAN: what it does well
- Free model for anime image upscaling.
- Supports 2×, 3×, and 4× enlargement.
- Windows configuration handles images and video.
- Portable NCNN package needs no CUDA or PyTorch runtime.
- Cache and tile settings can lower GPU-memory use.
What to know first
- The 1× model is still in training.
- CPU demo is slow; smaller images are recommended.
- Nvidia use requires 1.5 GB of video memory.
- Training code is not public.
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