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- Image Upscaling Software
- Cupscale
On the recordRead 12 Oct 202616 facts
Cupscale
Plans and prices
Cupscale
Free
No paid plans or usage limits stated
Read 12 Oct 2026 · github.com
On the record
- AI backends
- It supports Nvidia CUDA, Vulkan/NCNN, and CPU processing.github.com · read 12 Oct 2026
- Batch processing
- Users can batch upscale a directory or multiple individual images.github.com · read 12 Oct 2026
- Clipboard
- Users can load an image directly from the clipboard.github.com · read 12 Oct 2026
- Comparisons
- It can create side-by-side and 50/50 comparisons, plus before-and-after animations as GIF or MP4.github.com · read 12 Oct 2026
- Desktop app
- Yesgithub.com · read 22 Sep 2026
- Image formats
- It lists PNG, JPEG, BMP, WEBP, TGA, and DDS as compatible image formats.github.com · read 12 Oct 2026
- Image processing
- Cupscale can tile and merge images automatically to avoid running out of VRAM, and supports pre- and post-processing resize options.github.com · read 12 Oct 2026
- Input formats
- PNG, JPEG, BMP, WEBP, TGA, DDSgithub.com · read 22 Sep 2026
- Installation
- The project describes the application as more or less portable and says it is a single executable that can run anywhere.github.com · read 12 Oct 2026
- Installation note
- Temporary files are stored in the installation directory by default, and the README advises against installing in protected locations such as Program Files.github.com · read 12 Oct 2026
- License
- The repository identifies its license as MIT.github.com · read 12 Oct 2026
- Maximum scale
- 4xgithub.com · read 22 Sep 2026
- Model tools
- It supports on-the-fly model interpolation, model chaining, and includes a converter for NCNN models.github.com · read 12 Oct 2026
- Release requirements
- The latest release instructions say to extract the zip and start Cupscale.exe, preferably outside a protected folder such as Program Files.github.com · read 12 Oct 2026
- Upscaling method
- aigithub.com · read 22 Sep 2026
- What it does
- Cupscale is an image upscaling GUI based on ESRGAN.github.com · read 12 Oct 2026
