Fixed the script that convert ckpt models to diffusers not working with some models if they had invalid or broken keys, these keys are now ignored so we can still convert the model.
Merged changes from @aedhcarrick to the config file.
- Improved the layout for the new UI by changing some menus to
dropdowns.
- Reduced the padding on text fields as well as dropdowns.
Got text to video working, because I really wanted to play with it. It
works, well enough for now.
When I have some more time I plan to look into how to change the UI so I
can add a field for choosing FPS.
Please feel free to critique my changes, I'm still early in the learning
to code process.
# Description
* FPS defaults all changed to 30
* Change the way total_frames is calculated (now just FPS * duration) -
not sure if this is ideal but it works
* Generation now stops when it reaches total_frames value
Closes: #1676
# 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
- [ ] I have made corresponding changes to the documentation
# Description
added webui_flet_utils.py and webui_flet.yaml
moved webui_flet_* to 'scripts/' and put .yaml in 'configs/webui/'
added 'userconfig_flet.yaml' to .gitignore
very much WIP.
# 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
- [ ] I have made corresponding changes to the documentation
# Description
This PR merges changes made by @aedhcarrick on his fork to improve the
code readability on the flet UI and fixes some issues like the prompt
box breaking the page title on smaller resolutions, it also rearranges
the layout to make better use of the available space.
Thanks for the changes, really appreciate the help :)
# Description
The recent addition of the `conda-forge` channel to `environment.yaml`
causes PyTorch to be installed from that channel, which prevents normal
functionality since that version of PyTorch does not support CUDA at
all.
This PR limits `conda-forge` to be only used for NodeJS, fixing the
PyTorch installation issue.
# Checklist:
- [x] I have changed the base branch to `dev`
- [x] I have performed a self-review of my own code
N/A:
- [ ] I have commented my code in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
