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Added --bit_depth in order to enable higher precision workflows. Options [8bit, 16bit].
.GIF input support using --encode_method gif - STILL A WIP!!!
.png / .jpeg support using --encode_method image - STILL A WIP!!!
A complete overhaul on how model downloading works, it is recommended to go to Appdata\Roaming\TheAnimeScripter\Weights and deleting the whole folder with this version
Upgraded SPAN Models to 2x_Spanimation V1.5 - Special thanks to @TNTwise for the models.
Improvements
Up to 25% faster Rife TensorRT Inference performance.
Better TensorRT Engine Handling in case if the engine / driver is outdated.
Depth Maps should now produce significantly better outputs compared to previous releases at a roughly 5x deduction in performance.
Made sure the output is now always clamped
--ofline can now be dynamically selected to download a specific model or list of models based on user selection. Use keyword all to download all of the available models.
The number of models have been drastically cut
TensorRT Engine workflow should now be drastically more robust than previously with better edge case handling.
Revised documentation in Parameters.md
Through a few 'optimizations' in model downloads, the total weights folder should be ~1.5GB lower.
NCNN Upscaling models should now be dynamically downloaded based on user request
Marginal performance boosts for Upscale NCNN
Denoising is up to 2x faster now.
Prebuilds will now be 100-150mb smaller.
Audio Merging is now practically instantenous :)
Compatability with vp9 and .webm processes
Couple of changes to warplayer should have made it marginally faster and marginally more memory efficient.
Decoding is now up to 15% faster.
Deduplication is now up to 10% faster
Sharpening is now up to 15% faster
Benchmark will now use a selectable list for deciding the prefered GPU.
Removals:
Rife4.15, Rife4.15-ncnn and Rife4.15-TensorRT
Fixes
TensorRT artifactings when using Depth Maps.
Depth Maps produced incostistent results with buggy and aliased outputs, TRT looked arguably worse than DirectML across the board.
Scenechange Models have been renamed from " Maxvit " -> " Maxxvit " to better represent the real model.