- Added Dynamic Preview Frequency option for the txt2vid tab which tries to find the lowest value for update_preview_frequency at which we can update the preview image during generation while at the same time minimizing the impact it has in performance.
- Added option to save a video file on the outputs/txt2vid-samples folder after the generation is complete similar to how the save_grid option works on other tabs.
- Added a video preview which shows a video on the txt2vid tab when the generation is completed.
- Formated some lines of code to make it use less space and fit on the a single screen.
- Added a script called Settings.py to the script folder in which Settings for the Setting page will be placed. Empty for now.
- Improved txt2vid speed by 2 times.
- Added DDIM scheduler.
- Added sliders for beta_start and beta_end to have more control over these parameters on the scheduler.
- Added option to select the scheduler type from scaled_linear or linear.
- Added option to save info files for the txt2vid tab and improved the information saved to include most of the parameters used to run the generation.
- You can now download any model from the huggingface website to use on the txt2vid tab, just add the name to the custom_models_list on the config file.
Changed `update_preview_frequency` from every 1 step to every 5 steps. This results in a massive gain in performance (roughly going from 2-3 times slower to only 10-15% slower) while still showing good image generation output.
Changed default GFPGAN and realESRGAN settings to be off by default. That way, users can decide if they want to use them on, and what images they wish to do so.
- Implemented basic Text To Video tab, will continue to improve it as it is really basic right now.
- Improved the model loading, you now should see less frequently errors about it not been loaded correctly.
