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Releases: HolyWu/vs-realesrgan

v5.1.0

20 Oct 15:10
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  • Add num_batches parameter.
  • Add AnimeJaNai_HD_V3Sharp1 and AnimeJaNai_SD_V1beta34 models from https://github.com/the-database/mpv-upscale-2x_animejanai.
  • Switch to dynamo IR for compilation in TorchTRT. A few parameters are added and INT8 quantization is removed.
  • Improve performance by using separate streams and non_blocking for moving tensors between CPU and GPU. Now num_streams arg has negligible influence on performance compared to num_batches arg.
  • Bump PyTorch to 2.6.0.dev.
  • Bump Torch-TensorRT to 2.6.0.dev.

v5.0.0

10 Jun 09:57
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v4.1.0

30 Mar 14:42
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  • Place model files under models directory for cleanness.
  • Don't globally set default floating point tensor type when the input is of RGBH format.
  • Change function name to lowercase.
  • Bump required version of dependencies.

v4.0.1

04 Dec 15:11
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  • Switch to PyTorch again for inference. A few parameters are added and some parameters are removed.
  • Add official ESRGAN x4 model and realesr-general-x4v3 model.

See Discussions for benchmarks of some models.

v3.1.0

24 Apr 14:17
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  • Replace RealESRGANv2-animevideo model with realesr-animevideov3 model.
  • Change the default of model to 3.

v3.0.0

27 Mar 06:33
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  • Switch to ONNX Runtime for inferencing.
  • Rename model_type parameter to model.
  • Rename tile_x, tile_y parameters to tile_w, tile_h.
  • Remove pre_pad parameter.

v2.0.0

26 Dec 12:06
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  • Add a check to make sure model files have been downloaded.
  • Only VS API4 is supported now.
  • Add support for RealESRGANv2-animevideo models.
  • Remove scale and anime parameters.
  • Add model_type parameter.

v1.2.0

08 Sep 13:05
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  • Change tile parameter to tile_x and tile_y.
  • Add support for VS API4.

v1.1.0

01 Sep 02:21
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  • Add model optimized for anime.
  • Rename half parameter to fp16 for intuition.

v1.0.0

16 Aug 02:44
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  • Initial release.