8000 Releases · Tohrusky/Final2x-core · GitHub
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Releases: Tohrusky/Final2x-core

Release 2024-12-14

14 Dec 17:28
022c05d
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  • ccrestoration v0.2.1
  • Support: HAT, SRCNN

Release 2024-11-19

19 Nov 16:45
0da0246
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feat: reserve interface for other torch devices (#27)

Release 2024-11-09

09 Nov 12:43
4fe1a73
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  • ccrestoration v0.1.2
  • Support: DAT

Release 2024-11-08

08 Nov 10:37
3ba7874
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Final2x-core v3.0.0 has been released!

  • ccrestoration: v0.1.1

We are thrilled to announce the release of Final2x-core v3.0.0, which brings a significant upgrade to our image restoration capabilities. This release marks a major milestone as we transition to utilizing ccrestoration (PyTorch) for our algorithm implementation, enhancing performance and expanding the range of supported models.

Breaking Changes

  • Deprecation of ncnn: After v3.0.0, ncnn will no longer be supported. The project will now use ccrestoration (PyTorch) for all algorithm implementations.
  • Project Refactoring: The entire project has been refactored, resulting in incompatible configurations and APIs with the 2.x version.
  • Windows User Changes: Only Nvidia users can use GPU acceleration.
  • Linux User Changes: Linux users need to install using pip, as we will no longer provide pre-built packages. (Install ROCm PyTorch for AMD GPU)
  • MacOS Intel User Changes: MacOS Intel users can not use GPU acceleration, only CPU.

Features

  • Expanded Model Support: We are excited to introduce support for a variety of new models, including RealESRGAN, RealCUGAN, EDSR, SwinIR, and SCUNet.
  • Future-Proofing: We will continue to add support for more models in future updates!

Release 2024-09-23

23 Sep 11:40
fea15f1
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Auto Release.

  • feat: -n flag for not opening output folder

Release 2024-07-01

01 Jul 12:35
531b864
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Auto Release.

  • Support APISR-RRDB
  • Fix macos build

Release 2024-01-01

01 Jan 23:25
792e90f
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Auto Release.

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