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Releases: EutropicAI/Final2x-core

v4.0.0

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@Tohrusky Tohrusky released this 27 Sep 20:15
dfa4525

Final2x-core v4.0.0

  • cccv: v0.0.4

cccrestoration is now deprecated; all future work happens in cccv.
Breaking changes: some APIs have been renamed~

And, uv is all you need for package management!!! It works amazing with pytorch.

Release 2025-08-15

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@github-actions github-actions released this 15 Aug 13:25
09b6e56

Final2x-core v3.2.0

  • ccrestoration: v0.2.1

New Features

  • Tile processing: optional switch to enable/disable tile inference
  • Save format: user-selectable output image format

Breaking Changes

  • Bumped PyTorch to 2.7.1+cu128 for NVIDIA 50-series support; older GPUs (10s) may work not well
  • macOS x64 is no longer included in official pre-built packages

Release 2025-08-12

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@github-actions github-actions released this 12 Aug 12:38
6ec9b06
  • Bump torch version to 2.7.1-cu128 (Support 50s' Nvidia GPU)

Release 2024-12-14

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@github-actions github-actions released this 14 Dec 17:28
022c05d
  • ccrestoration v0.2.1
  • Support: HAT, SRCNN

Release 2024-11-19

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@github-actions github-actions released this 19 Nov 16:45
0da0246
feat: reserve interface for other torch devices (#27)

Release 2024-11-09

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@github-actions github-actions released this 09 Nov 12:43
4fe1a73
  • ccrestoration v0.1.2
  • Support: DAT

Release 2024-11-08

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@github-actions github-actions released this 08 Nov 10:37
3ba7874

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

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@github-actions github-actions released this 23 Sep 11:40
fea15f1

Auto Release.

  • feat: -n flag for not opening output folder

Release 2024-07-01

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@github-actions github-actions released this 01 Jul 12:35
531b864

Auto Release.

  • Support APISR-RRDB
  • Fix macos build

Release 2024-01-01

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@github-actions github-actions released this 01 Jan 23:25
792e90f

Auto Release.