Hi guys, here is v0.4.5 dev 001 for Linux and Mac
Big thanks to @MikeV for creating a custom export dialog
Here are some things to check and test:
- New Flownet4 and faster Flownet4_lite models with ratio support based on RIFE v4.15
- Support for per-shot fine-tuning and training models on your own data
- Support for negative values and values over 1
- Script for multiple shots batch re-time with constant speed
- Support for Flame 2025
- Support for MacOS Metal backend for faster rendering
Please note that the model state files supplied are WIP and have been taken from actual training cycles, but they are likely to be in a good place in terms of quality and can be used as a starting point for custom fine-tuning and training.
“Fluidmorph” and “Interpolate Frames” are yet to be implemented but it should not take too long.
Training on Mac is yet to be tested, but it is likely to work with current or future versions of Pytorch.
Please check README
and let me know if there’s any issues.
Anyone around with Intel Macs please use custom installation from readme to build python env with Pytorch 2.2.2