Files
torzdf 837bc2d51d Faceswap 3 (#1516)
* FaceSwap 3 (#1515)
* Update extract pipeline
* Update requirements + setup for nvidia
* Remove allow-growth option
* tf.keras to keras updates
* lib.model.losses - Port + fix all loss functions for Keras3
* lib.model - port initializers, layers. normalization to Keras3
* lib.model.autoclip to Keras 3
* Update mixed precision layer storage
* model file to .keras format
* Restructure nn_blocks to initialize layers in __init__
* Tensorboard
  - Trainer: Add Torch compatible Tensorboard callbacks
  - GUI event reader remove TF dependency
* Loss logging
  - Flush TB logs on save
  - Replace TB live iterator for GUI
* Backup models on total loss drop rather than per side
* Update all models to Keras3 Compat
* Remove lib.model.session
* Update clip ViT to Keras 3
* plugins.extract.mask.unet-dfl - Fix for Keras3/Torch backend
* Port AdaBelief to Keras 3
* setup.py:
  - Add --dev flag for dev tool install
* Fix Keras 3 syntax
* Fix LR Finder for Keras 3
* Fix mixed precision switching for Keras  3
* Add more optimizers + open up config setting
* train: Remove updating FS1 weights to FS2 models
* Alignments: Remove support for legacy .json files
* tools.model:
  - Remove TF Saved Format saving
  - Fix Backup/Restore + Nan-Scan
* Fix inference model creation for Keras 3
* Preview tool: Fix for Keras3
* setup.py: Configure keras backend
* train: Migration of FS2 models to FS3
* Training: Default coverage to 100%
* Remove DirectML backend
* Update setup for MacOS
* GUI: Force line reading to UTF-8
* Remove redundant Tensorflow references
* Remove redundant code
* Legacy model loading: Fix TFLamdaOp scalar ops and DepthwiseConv2D
* Add vertical offset option for training
* Github actions: Add more python versions
* Add python version to workflow names
* Github workflow: Exclude Python 3.12 for macOS
* Implement custom training loop
* Fs3 - Add RTX5xxx and ROCm 6.1-6.4 support (#1511)
* setup.py: Add Cuda/ROCm version select options
* bump minimum python version to 3.11
* Switch from setup.cgf to pyproject.toml
* Documentation: Update all docs to use automodapi
* Allow sysinfo to run with missing packages + correctly install tk under Linux
* Bugfix: dot naming convention in clip models
* lib.config: Centralise globally rather than passing as object
- Add torch DataParallel for multi-gpu training
  - GUI: Group switches together when generating cli args
  - CLI: Remove deprecated multi-character argparse args
  - Refactor:
    - Centralise tensorboard reading/writing + unit tests
    - Create trainer plugin interfaces + add original + distributed
* Update installers
2025-12-21 02:45:11 +00:00

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Python
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#!/usr/bin/env python3
""" The default options for the faceswap patch Writer plugin.
Defaults files should be named `<plugin_name>_defaults.py`
Any qualifying items placed into this file will automatically get added to the relevant config
.ini files within the faceswap/config folder and added to the relevant GUI settings page.
The following variable should be defined:
Parameters
----------
HELPTEXT: str
A string describing what this plugin does
Further plugin configuration options are assigned using:
>>> <config_item> = ConfigItem(...)
where <config_item> is the name of the configuration option to be added (lower-case, alpha-numeric
+ underscore only) and ConfigItem(...) is the [`~lib.config.objects.ConfigItem`] data for the
option.
See the docstring/ReadtheDocs documentation required parameters for the ConfigItem object.
Items will be grouped together as per their `group` parameter, but otherwise will be processed in
the order that they are added to this module.
from lib.config import ConfigItem
"""
from lib.config import ConfigItem
HELPTEXT = (
"Options for outputting the raw converted face patches from faceswap\n"
"The raw face patches are output along with the transformation matrix, per face, to "
"transform the face back into the original frame in external tools"
)
start_index = ConfigItem(
default="0",
info="The starting frame number for the first output frame.",
datatype=str,
choices=["0", "1"],
group="file_naming",
gui_radio=True)
index_offset = ConfigItem(
default=0,
datatype=int,
group="file_naming",
info="How much to offset the frame numbering by.",
rounding=1,
min_max=(0, 1000))
number_padding = ConfigItem(
datatype=int,
default=6,
group="file_naming",
info="Length to pad the frame numbers by.",
rounding=6,
min_max=(0, 10))
include_filename = ConfigItem(
datatype=bool,
default=True,
group="file_naming",
info="Prefix the filename of the original frame to each face patch's output filename.")
face_index_location = ConfigItem(
datatype=str,
default="before",
group="file_naming",
info="For frames that contain multiple faces, where the face index should appear in "
"the filename:"
"\n\t before: places the face index before the frame number."
"\n\t after: places the face index after the frame number.",
choices=["before", "after"],
gui_radio=True)
origin = ConfigItem(
datatype=str,
default="bottom-left",
group="output",
info="The origin (0, 0) location of the software that patches will be imported into. "
"This impacts the transformation matrix that is supplied with the image patch. "
"Setting the correct origin here will make importing into the external tool "
"simpler."
"\n\t top-left: The origin (0, 0) of the external canvas is at the top left "
"corner."
"\n\t bottom-left: The origin (0, 0) of the external canvas is at the bottom "
"left corner."
"\n\t top-right: The origin (0, 0) of the external canvas is at the top right "
"corner."
"\n\t bottom-right: The origin (0, 0) of the external canvas is at the bottom "
"right corner.",
choices=["top-left", "bottom-left", "top-right", "bottom-right"],
gui_radio=True)
empty_frames = ConfigItem(
datatype=str,
group="output",
default="blank",
info="How to handle the output of frames without faces:"
"\n\t skip: skips any frames that do not have a face within it. This will lead to "
"gaps within the final image sequence."
"\n\t blank: outputs a blank (empty) face patch for any frames without faces. "
"There will be no gaps within the final image sequence, as those gaps will be "
"padded with empty face patches",
choices=["skip", "blank"],
gui_radio=True)
json_output = ConfigItem(
datatype=bool,
default=False,
group="output",
info="The transformation matrix, and other associated metadata, is output within the "
"face images EXIF fields. Some external tools can read this data, others cannot."
"enable this option to output a json file which contains this same metadata "
"mapped to each output face patch's filename.")
separate_mask = ConfigItem(
datatype=bool,
default=False,
group="output",
info="Seperate the mask into its own single channel patch. If enabled, the RGB image "
"will be saved into the selected output folder whilst the masks will be saved "
"into a sub-folder named `masks`. If not enabled then the mask will be included "
"in the alpha-channel of the RGBA output.")
bit_depth = ConfigItem(
datatype=str,
default="16",
group="format",
info="The bit-depth for the output images:"
"\n\t 8: 8-bit unsigned - Supported by all formats."
"\n\t 16: 16-bit unsigned - Supported by all formats."
"\n\t 32: 32-bit float - Supported by Tiff only.",
choices=["8", "16", "32"],
gui_radio=True)
format = ConfigItem( # pylint:disable=redefined-builtin
datatype=str,
default="png",
group="format",
info="File format to save as."
"\n\t png: PNG file format. Transformation matrix is written to the custom iTxt "
"header field 'faceswap'"
"\n\t tiff: TIFF file format. Transformation matrix is written to the "
"'image_description' header field",
choices=["png", "tiff"],
gui_radio=True)
png_compress_level = ConfigItem(
datatype=int,
default=3,
group="format",
info="ZLIB compression level, 1 gives best speed, 9 gives best compression, 0 gives no "
"compression at all.",
rounding=1,
min_max=(0, 9))
tiff_compression_method = ConfigItem(
datatype=str,
default="lzw",
group="format",
info="The compression method to use for Tiff files. Note: For 32bit output, SGILOG "
"compression will always be used regardless of what is selected here.",
choices=["none", "lzw", "deflate"],
gui_radio=True)