Added documents for Streamlit and Gradio.
Added new screenshots for each respective version of the UI. Changed
`upscalers` to `image enhancers`.
Documents currently finished:
- linux-installation.md
- image-enhancers.md
- ReadMe
Documents currently still WIP:
- streamlit-interface.md
- gradio-interface.md
Documents still awaiting changes:
- windows-installation.md (I'll need help for this one)
- custom-models.md
- cli.md
Feedback is welcomed and needed on any changes that should happen for
the documents already finished.
(Also fixed small bug with the `webui_streamlit.yaml` file)
# Checklist:
- [x] I have changed the base branch to `dev`
- [x] I have performed a self-review of my own code
- [x] I have commented my code in hard-to-understand areas
- [x] I have made corresponding changes to the documentation
Co-authored-by: ZeroCool <ZeroCool940711@users.noreply.github.com>
Co-authored-by: Thomas Mello <work.mello@gmail.com>
- Fixed several issues with wrong variable being used on multiple places.
- Addd option to toggle some extra option from the config file for when the model is loading on the txt2vid tab.
- 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.
