- NOTE: Pre-releases are unstable, please use the stable build if you experience issues. New features will be added to this release over time, the current changelog is not final.
- Fixed RIFE TensorRT speeds
- Backend to python 3.12
- Bump tensorrt to 10.8
- Hardware Encoding
- Auto border cropping
- GPU ID selection
- Default video container setting
- Batch input support
- Full fallback on TRT upscaling, so the engine has the greatest chance of building correctly.
- Additional Codec Support (Video, Audio, Subtitle)
- Additional Animation and Realistic Models
- Option to reencode audio, in case it has issues with output.
- HDR Mode toggle (experimental)
- Adjusted dynamic scale.
- Moved pausing to shared memory.
- Changed checks on default output directory.
- Optimized engine building for interpolate and upscale at the same time, should now use less VRAM.
- Improved tooltips.
- Adjusted default scene detect sensitivity to 3.5.
- Bump torch to 2.6.0
- Bump numpy to 2.2.2
- Bump tensorrt to 10.7
- Win10 tooltips and pop ups.
- Issue when DAR is not equal to SAR (Thanks Yasand123).
- Stopping render, instead of having to kill the entire app.
- More tiling options.
- Better checks on imported models.
- Subtitle passthrough.
- Changelog view in home menu.
- Upscale and Interpolate at the same time.
- Sudo shuffle span for pytorch backend
- GIMM-VFI
- GMFSS Pro, which helps fix text warping.
- SloMo mode
- Ensemble for Pytorch/TensorRT interpolation.
- Dynamic Optical Flow for Pytorch interpolation.
- Make RVE smaller by switching to pyside6-essentials. (thanks zeptofine!)
- Make GUI more compact.
- Bump torch to 2.6.0-dev20241214.
- Bump CUDA to 12.6
- Remove CUDA install requirement for GMFSS
- ROCm upscaling not working.
- Custom Upscale Model Support (TensorRT/Pytorch/NCNN)
- GMFSS
- RIFE 4.25 (TensorRT/Pytorch/NCNN)
- PySceneDetect for better scene change detections
- More NCNN models
- MacOS Support fully, not coming back due to changes made by Apple.
- Simplified TensorRT Engine Building
- Increased RIFE TensorRT speed
- Better preview that pads instead of stretches
- Updated PyTorch to 2.6.0.dev20241023
- Updated TensorRT to 10.6
- Naming scheme of upscaling models, should be easier to understand