What's new in enhancr 0.9.9
Sep 15, 2023
- Changes:
- Added fp16 i/o to RIFE
- Replaced deprecated cupy.cuda.compile_with_cache with cupy.RawModule
- Updated to Python 3.11, TensorRT 8.6.1, cudatoolkit 12.1, PyTorch 2.1.0 nightly & Vapoursynth R62
- Implemented SwinIR (TensorRT)
- Switched webm muxer back to ffmpeg
- Filtering out generic VapourSynth error now, due to people not getting that it's not an error
- Added RealESRGAN (DirectML)
- Removed blur on Windows 10
- Rewrote Queue Backend partially
- Implemented CAIN (DirectML)
- Added dynamic axes to RVPV2 -> extra step for exporting to onnx isn't necessary anymore
- Added DPIR (DirectML)
- Updated ThemeEngine to make UI a bit more consistent
- Implemented SCUNet (TensorRT)
- Small UI Changes overall
- Bugfixes:
- Fixed Tiling for ShuffleCUGAN (NCNN)
- Changed optShape calculation for DPIR
- Fixed Subtitle Check when selecting mp4 output container
- Re-enabled CUDNN tactics in TensorRT (thanks nvidia)
- Fixed RIFE TensorRT engine build crashing
- Scaled down Preview encoder (This fixes most "[h264/h265/av1_nvenc @ xxxxxxxxxxxxxxx] No capable devices found" errors. See FAQ in wiki for more infos.)
- Fixed RVPV2 ONNX conversion
- Added padding to NCNN for resolutions non divisible by 8, due to color channels not being put together properly after padding inside model
- Fixed memory leak when reading media metadata that would occur when processing a lot of items in queue
- Fixed duration formatting in Media Info
- Discord Rich Presence properly resets to idle state when process is completed/canceled now
- Fixed custom pth ESRGAN models
- Removed fp16 i/o from RVPV1 (TRT) to make it work again