waifu2x 7.2.9
Scale and/or denoise images using Convolutional Neural Network (CNN)
| Category: | Graphics & Design |
| Price: | Free |
| Popularity: | Low |
| Version String: | 7.2.9 (23737) |
| Release Date: | 2024-09-19 |
| Architecture: | Intel & AppleSilicon(ARM) |
| Minimum OS: | macOS 13.0 |
| Vendor Name: | 宜 谢 |
| Homepage: | [Mac App Store] |
Install App via MacUpdater:
This link works only when MacUpdater is installed on your Mac
Download from the Mac App Store:
Version History 7.2.9 (23737)
1. Fixed file dropping not working.
2. (7.2.8) Fixed crash while using Real-CUGAN on macOS 18.
Description:
This is macOS version of the iOS app waifu2x.
This app can scale and/or denoise images using Convolutional Neural Network (CNN). It is the iOS Core ML/MPSCNN implementation of waifu2x. Note that this app is not affiliated with the original waifu2x project.
No ADs. No usage limits. No personal data collection.
Try additional models on your own images for free before you purchase!
macOS exclusive features:
1. Command line interface (CLI) support.
2. Video processing via CLI.
Highlight features:
1. Unlimited number of imported images.
2. Supports both SRCNN and CUnet models from the original waifu2x project.
3. Supports Real-ESRGAN models for both illustrations and photos.
4. Exclusive PAN models for anime-style illustrations.
5. Custom scale modes. You have options to scale images up to 128x, 1.5x, fixed size and more.
6. Supports multiple ways of importing images: the album, files, drag and drop, other apps.
7. Supports images with alpha channel.
8. Multiple output formats: PNG, JPEG, HEIF, WebP.
9. Multiple processing backends. You can choose between highest quality or highest speed.
10. Write output images directly to an external path (including network drives like SMB).
11. End-to-end support for 16-bit color and color spaces. Color accuracy will not be compromised after processing.
12. Highly optimized RAM usage. You can easily produce images that don't even fit inside your device RAM.
13. Supports deleting original images if they come from the album.
SRCNN and CUnet models are converted from waifu2x-caffe.
All the models are running on device, so it doesn't need to upload image to any server.
Source code of core function is available on GitHub:
https://github.com/imxieyi/waifu2x-ios
Usage of images in screenshots is granted by the original author Kurumi:
https://twitter.com/0115_kurumi
The primary app icon is illustrated by Kapuru:
https://twitter.com/KaPuRu_0410
