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@ -151,6 +151,7 @@ npm run publish-app
- Upscayl uses AI models to enhance your images by guessing what the details could be. It uses Real-ESRGAN to achieve this.
- **Is there a CLI available?**
- The CLI tool is called real-esrgan-ncnn-vulkan and it's available on the Real-ESRGAN repository.
- As of v2.9, we're using our fork of Real-ESRGAN-ncnn-vulkan at https://github.com/upscayl/upscayl-ncnn.
- **Do I need a GPU for this to work?**
- Yes, unfortunately. NCNN Vulkan requires a Vulkan-compatible GPU. Upscayl won't work with **most** iGPUs or CPUs. But hey, no harm in trying ;)
- @Wyrdgirn has contributed a workaround for Windows and Linux in [#390](https://github.com/upscayl/upscayl/issues/390)! Nobody knows how to manipulate the macOS and Haiku frameworks...
@ -161,7 +162,7 @@ npm run publish-app
- Note that for Windows systems, if Upscayl is not set to performance mode, the system may override this setting.
- **You are not fully open source!!😡**
- We are! We're using completely free and open-source tech. We do ship a binary, but that's because not including it would kill the entire purpose of the project. If you want to deal with all those PyTorch, NCNN, and Python errors, you're more than welcome to compile your own binary using the code provided by Real-ESRGAN. The binary is pre-compiled for convenience; if you do not trust it, then you can compile your own since everything is free and open source here 😁
- As of v2.9, we're using our fork of Real-ESRGAN-ncnn-vulkan at https://github.com/upscayl/upscayl-ncnn
- As of v2.9, we're using our fork of Real-ESRGAN-ncnn-vulkan at https://github.com/upscayl/upscayl-ncnn.
- **Where do I find more models?**
- More models can be taken from here: https://github.com/upscayl/custom-models