# Summary of the change
- new Scene-to-Image tab
- new scn2img function
- functions for loading and running monocular_depth_estimation with
tensorflow
# Description
(relevant motivation, which issue is fixed)
Related to discussion #925
> Would it be possible to have a layers system where we could do have
foreground, mid, and background objects which relate to one another and
share the style? So we could say generate a landscape, one another layer
generate a castle, and on another layer generate a crowd of people.
To make this work I made a prompt-based layering system in a new
"Scene-to-Image" tab.
You write a a multi-line prompt that looks like markdown, where each
section declares one layer.
It is hierarchical, so each layer can have their own child layers.
Examples: https://imgur.com/a/eUxd5qn
In the frontend you can find a brief documentation for the syntax,
examples and reference for the various arguments.
Here a short summary:
Sections with "prompt" and child layers are img2img, without child
layers they are txt2img.
Without "prompt" they are just images, useful for mask selection, image
composition, etc.
Images can be initialized with "color", resized with "resize" and their
position specified with "pos".
Rotation and rotation center are "rotation" and "center".
Mask can automatically be selected by color or by estimated depth based
on https://huggingface.co/spaces/atsantiago/Monocular_Depth_Filter.
# Additional dependencies that are required for this change
For mask selection by monocular depth estimation tensorflow is required
and the model must be cloned to ./src/monocular_depth_estimation/
Changes in environment.yaml:
- einops>=0.3.0
- tensorflow>=2.10.0
Einops must be allowed to be newer for tensorflow to work.
# 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: hlky <106811348+hlky@users.noreply.github.com>
# Adds the bridge code which when enabled turns the webui into a
headless [Stable Horde](https://stablehorde.net) instance
It adds a few new command-line args to be able to pass variables to the
bridge, as well as the possibility to set it via a variables files
`bridgeData.py`.
To start the bridge, one needs to add the `--bridge` argument to their
relauncher.py as well as any horde vars they want to specify.
On top of that this adds the loguru module as well as my tuned loguru
config. This provides a much nicer logging output and provides the
capability to save output to files for issue reports etc. For now only
the bridge is utilizing the nice format, but once it's merged, you can
start replacing `print()` with `logger.xxx()` where appropriate
To make the bridge work, I've had to add defaults to txt2img but this
should not affect anything.
# 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: hlky <106811348+hlky@users.noreply.github.com>
Co-authored-by: Thomas Mello <work.mello@gmail.com>
Co-authored-by: Joshua Kimsey <jkimsey95@gmail.com>
Co-authored-by: ZeroCool <ZeroCool940711@users.noreply.github.com>
Added the Txt2Img settings from the `configs/webui/webui_streamlit.yaml` file. All are working except `separate_prompts`, which throws a `Missing key separate_prompts` error for some reason.
# 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
