I tried searching for threads with issues that mention "Unknown config_item: RandomNormal" but was unable to locate any
Please forgive the miss if there is already a thread about this issue.
Some background:
- Running in Windows 10 64x with DirectML backend
- Training started normally and completed over 50000 iterations (Model: Villain)
- When I resume, it throws up the attached error.
3.1 Started a new model (Villain) which works till I stop the model. When I try to continue it, it gives the same error again.
Any and all help is much appreciated!
Code: Select all
02/08/2023 17:07:30 MainProcess _training model _update_legacy_config DEBUG Checking for legacy state file update
02/08/2023 17:07:30 MainProcess _training model _update_legacy_config DEBUG Legacy item 'dssim_loss' not in config. Skipping update
02/08/2023 17:07:30 MainProcess _training model _update_legacy_config DEBUG Legacy item 'l2_reg_term' not in config. Skipping update
02/08/2023 17:07:30 MainProcess _training model _update_legacy_config DEBUG Legacy item 'clipnorm' not in config. Skipping update
02/08/2023 17:07:30 MainProcess _training model _update_legacy_config DEBUG State file updated for legacy config: False
02/08/2023 17:07:30 MainProcess _training model _replace_config DEBUG Replacing config. Old config: {'centering': 'face', 'coverage': 87.5, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': 'ssim', 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 5, 'mouth_multiplier': 15, 'penalized_mask_loss': True, 'mask_type': 'vgg-obstructed', 'mask_blur_kernel': 5, 'mask_threshold': 4, 'learn_mask': False, 'lowmem': False}
02/08/2023 17:07:30 MainProcess _training model _replace_config DEBUG Replaced config. New config: {'centering': 'face', 'coverage': 87.5, 'optimizer': 'adam', 'learning_rate': 5e-05, 'epsilon_exponent': -7, 'autoclip': False, 'allow_growth': False, 'mixed_precision': False, 'nan_protection': True, 'convert_batchsize': 16, 'loss_function': 'ssim', 'loss_function_2': 'mse', 'loss_weight_2': 100, 'loss_function_3': None, 'loss_weight_3': 0, 'loss_function_4': 'ssim', 'loss_weight_4': 0, 'mask_loss_function': 'mse', 'eye_multiplier': 5, 'mouth_multiplier': 15, 'penalized_mask_loss': True, 'mask_type': 'vgg-obstructed', 'mask_blur_kernel': 5, 'mask_threshold': 4, 'learn_mask': False, 'lowmem': False}
02/08/2023 17:07:30 MainProcess _training model _replace_config INFO Using configuration saved in state file
02/08/2023 17:07:30 MainProcess _training model _new_session_id DEBUG 2
02/08/2023 17:07:30 MainProcess _training model _create_new_session DEBUG Creating new session. id: 2
02/08/2023 17:07:30 MainProcess _training model __init__ DEBUG Initialized State:
02/08/2023 17:07:30 MainProcess _training settings __init__ DEBUG Initializing Settings: (arguments: Namespace(func=<bound method ScriptExecutor.execute_script of <lib.cli.launcher.ScriptExecutor object at 0x000001C689E68700>>, exclude_gpus=None, configfile=None, loglevel='DEBUG', logfile=None, redirect_gui=True, colab=False, input_a='F:\\faceswap\\Source\\Emma Brown Faces', input_b='F:\\faceswap\\Source\\Hailee Stienfeld Faces', model_dir='F:\\faceswap\\Projects\\Models\\HaiPee\\Villain', load_weights=None, trainer='villain', summary=False, freeze_weights=False, batch_size=10, iterations=1000000, distribution_strategy='default', save_interval=250, snapshot_interval=2500, timelapse_input_a=None, timelapse_input_b=None, timelapse_output=None, preview=False, write_image=False, no_logs=True, warp_to_landmarks=False, no_flip=False, no_augment_color=False, no_warp=False), mixed_precision: False, allow_growth: False, is_predict: False)
02/08/2023 17:07:30 MainProcess _training settings _set_tf_settings DEBUG Not setting any specific Tensorflow settings
02/08/2023 17:07:30 MainProcess _training settings _set_keras_mixed_precision DEBUG use_mixed_precision: False
02/08/2023 17:07:30 MainProcess _training settings _set_keras_mixed_precision DEBUG Disabling mixed precision. (Compute dtype: float32, variable_dtype: float32)
02/08/2023 17:07:30 MainProcess _training settings _get_strategy DEBUG Using strategy: <tensorflow python.distribute.distribute_lib._DefaultDistributionStrategy object at 0x000001C693AC1430>
02/08/2023 17:07:30 MainProcess _training settings __init__ DEBUG Initialized Settings
02/08/2023 17:07:30 MainProcess _training settings __init__ DEBUG Initializing Loss: (color_order: bgr)
02/08/2023 17:07:30 MainProcess _training settings _get_mask_channels DEBUG uses_masks: (True, True, True), mask_channels: [3, 4, 5]
02/08/2023 17:07:30 MainProcess _training settings __init__ DEBUG Initialized: Loss
02/08/2023 17:07:30 MainProcess _training model __init__ DEBUG Initialized ModelBase (Model)
02/08/2023 17:07:30 MainProcess _training settings strategy_scope DEBUG Using strategy scope: <tensorflow python.distribute.distribute_lib._DefaultDistributionContext object at 0x000001C6938CA180>
02/08/2023 17:07:30 MainProcess _training io _load DEBUG Loading model: F:\faceswap\Projects\Models\HaiPee\Villain\villain.h5
02/08/2023 17:07:30 MainProcess _training attrs __getitem__ DEBUG Creating converter from 3 to 5
02/08/2023 17:07:31 MainProcess _training multithreading run DEBUG Error in thread (_training): Unknown config_item: RandomNormal. Please ensure this object is passed to the `custom_objects` argument. 02/08/2023 17:07:32 MainProcess MainThread train _monitor DEBUG Thread error detected
02/08/2023 17:07:32 MainProcess MainThread train _monitor DEBUG Closed Monitor
02/08/2023 17:07:32 MainProcess MainThread train _end_thread DEBUG Ending Training thread
02/08/2023 17:07:32 MainProcess MainThread train _end_thread CRITICAL Error caught! Exiting...
02/08/2023 17:07:32 MainProcess MainThread multithreading join DEBUG Joining Threads: '_training'
02/08/2023 17:07:32 MainProcess MainThread multithreading join DEBUG Joining Thread: '_training'
02/08/2023 17:07:32 MainProcess MainThread multithreading join ERROR Caught exception in thread: '_training'
Traceback (most recent call last):
File "F:\faceswap\lib\cli\launcher py", line 230, in execute_script
process.process()
File "F:\faceswap\scripts\train py", line 213, in process
self._end_thread(thread, err)
File "F:\faceswap\scripts\train py", line 253, in _end_thread
thread.join()
File "F:\faceswap\lib\multithreading py", line 217, in join
raise thread.err[1].with_traceback(thread.err[2])
File "F:\faceswap\lib\multithreading py", line 96, in run
self._target(*self._args, **self._kwargs)
File "F:\faceswap\scripts\train py", line 275, in _training
raise err
File "F:\faceswap\scripts\train py", line 263, in _training
model = self._load_model()
File "F:\faceswap\scripts\train py", line 291, in _load_model
model.build()
File "F:\faceswap\plugins\train\model\_base\model py", line 303, in build
model = self._io._load() # pylint:disable=protected-access
File "F:\faceswap\plugins\train\model\_base\io py", line 152, in _load
model = load_model(self._filename, compile=False)
File "C:\Users\Unybo\miniconda3\envs\265938\lib\site-packages\keras\utils\traceback_utils py", line 70, in error_handler
raise e.with_traceback(filtered_tb) from None
File "C:\Users\Unybo\miniconda3\envs\265938\lib\site-packages\keras\utils\generic_utils py", line 605, in class_and_config_for_serialized_keras_object
raise ValueError(
ValueError: Unknown config_item: RandomNormal. Please ensure this object is passed to the `custom_objects` argument.
============ System Information ============
backend: directml
encoding: cp1252
git_branch: master
git_commits: b4212de bugfix: pin numpy
gpu_cuda: No global version found. Check Conda packages for Conda Cuda
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: Radeon RX Vega, GPU_1: Radeon RX Vega, GPU_2: NVIDIA GeForce GT 1030, GPU_3: Intel(R) HD Graphics 630
gpu_devices_active: GPU_0, GPU_1, GPU_2, GPU_3
gpu_driver: 31.0.12029.10015|31.0.12029.10015|31.0.15.2756|31.0.101.2111
gpu_vram: GPU_0: 8120MB (7352MB free), GPU_1: 8120MB (7352MB free), GPU_2: 1981MB (1684MB free), GPU_3: 128MB (9408MB free)
os_machine: AMD64
os_platform: Windows-10-10.0.19045-SP0
os_release: 10
py_command: F:\faceswap\faceswap py train -A F:\faceswap\Source\Emma Brown Faces -B F:\faceswap\Source\Hailee Stienfeld Faces -m F:/faceswap/Projects/Models/HaiPee/Villain -t villain -bs 10 -it 1000000 -D default -s 250 -ss 2500 -nl -L DEBUG -gui
py_conda_version: conda 23.1.0
py_implementation: CPython
py_version: 3.9.16
py_virtual_env: True
sys_cores: 4
sys_processor: Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
sys_ram: Total: 20346MB, Available: 12942MB, Used: 7403MB, Free: 12942MB
=============== Pip Packages ===============
absl-py @ file:///C:/b/abs_5babsu7y5x/croot/absl-py_1666362945682/work
astunparse==1.6.3
cachetools==5.3.0
certifi @ file:///C:/b/abs_85o_6fm0se/croot/certifi_1671487778835/work/certifi
charset-normalizer==3.0.1
cloudpickle @ file:///tmp/build/80754af9/cloudpickle_1632508026186/work
colorama @ file:///C:/b/abs_a9ozq0l032/croot/colorama_1672387194846/work
comtypes==1.1.10
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
decorator @ file:///opt/conda/conda-bld/decorator_1643638310831/work
dm-tree @ file:///C:/b/abs_10z0iy5knj/croot/dm-tree_1671027465819/work
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.3.0
flatbuffers==23.1.21
flit_core @ file:///opt/conda/conda-bld/flit-core_1644941570762/work/source/flit_core
fonttools==4.25.0
gast==0.4.0
google-auth==2.16.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.51.1
h5py==3.8.0
idna==3.4
imageio @ file:///C:/Windows/TEMP/abs_24c1b783-7540-4ca9-a1b1-0e8aa8e6ae64hb79ssux/croots/recipe/imageio_1658785038775/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
importlib-metadata==6.0.0
joblib @ file:///home/conda/feedstock_root/build_artifacts/joblib_1663332044897/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/b/abs_88mdhvtahm/croot/kiwisolver_1672387921783/work
libclang==15.0.6.1
Markdown==3.4.1
MarkupSafe==2.1.2
matplotlib @ file:///C:/ci/matplotlib-suite_1660169687702/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184308/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///C:/b/abs_a7kbak88hk/croot/numexpr_1668713882979/work
numpy @ file:///C:/b/abs_datssh7cer/croot/numpy_and_numpy_base_1672336199388/work
nvidia-ml-py==11.525.84
oauthlib==3.2.2
opencv-python==4.7.0.68
opt-einsum==3.3.0
packaging @ file:///C:/b/abs_cfsup8ur87/croot/packaging_1671697442297/work
Pillow==9.3.0
ply==3.11
protobuf==3.19.6
psutil @ file:///C:/Windows/Temp/abs_b2c2fd7f-9fd5-4756-95ea-8aed74d0039flsd9qufz/croots/recipe/psutil_1656431277748/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pyparsing @ file:///C:/Users/BUILDE~1/AppData/Local/Temp/abs_7f_7lba6rl/croots/recipe/pyparsing_1661452540662/work
PyQt5==5.15.7
PyQt5-sip @ file:///C:/Windows/Temp/abs_d7gmd2jg8i/croots/recipe/pyqt-split_1659273064801/work/pyqt_sip
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==305.1
pywinpty @ file:///C:/ci_310/pywinpty_1644230983541/work/target/wheels/pywinpty-2.0.2-cp39-none-win_amd64.whl
requests==2.28.2
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///D:/bld/scikit-learn_1659726281030/work
scipy @ file:///C:/bld/scipy_1658811088396/work
sip @ file:///C:/Windows/Temp/abs_b8fxd17m2u/croots/recipe/sip_1659012372737/work
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.10.1
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-cpu==2.10.0
tensorflow-directml-plugin==0.4.0.dev230202
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.30.0
tensorflow-probability @ file:///tmp/build/80754af9/tensorflow-probability_1633017132682/work
tensorflow_intel==2.10.0
termcolor==2.2.0
threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1643647933166/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///C:/ci/tornado_1662458743919/work
tqdm @ file:///C:/b/abs_0axbz66qik/croots/recipe/tqdm_1664392691071/work
typing_extensions @ file:///C:/b/abs_89eui86zuq/croot/typing_extensions_1669923792806/work
urllib3==1.26.14
Werkzeug==2.2.2
wincertstore==0.2
wrapt==1.14.1
zipp==3.12.1
============== Conda Packages ==============
# packages in environment at C:\Users\Unybo\miniconda3\envs\265938:
#
# Name Version Build Channel
absl-py 1.3.0 py39haa95532_0
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h2bbff1b_7
brotli-bin 1.0.9 h2bbff1b_7
ca-certificates 2023.01.10 haa95532_0
cachetools 5.3.0 pypi_0 pypi
certifi 2022.12.7 py39haa95532_0
charset-normalizer 3.0.1 pypi_0 pypi
cloudpickle 2.0.0 pyhd3eb1b0_0
colorama 0.4.6 py39haa95532_0
comtypes 1.1.10 py39haa95532_1002
cycler 0.11.0 pyhd3eb1b0_0
decorator 5.1.1 pyhd3eb1b0_0
dm-tree 0.1.7 py39hd77b12b_1
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
ffmpy 0.3.0 pypi_0 pypi
flatbuffers 23.1.21 pypi_0 pypi
flit-core 3.6.0 pyhd3eb1b0_0
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 ha860e81_0
gast 0.4.0 pypi_0 pypi
git 2.34.1 haa95532_0
glib 2.69.1 h5dc1a3c_2
google-auth 2.16.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.51.1 pypi_0 pypi
gst-plugins-base 1.18.5 h9e645db_0
gstreamer 1.18.5 hd78058f_0
h5py 3.8.0 pypi_0 pypi
icu 58.2 ha925a31_3
idna 3.4 pypi_0 pypi
imageio 2.19.3 py39haa95532_0
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
importlib-metadata 6.0.0 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
joblib 1.2.0 pyhd8ed1ab_0 conda-forge
jpeg 9e h2bbff1b_0
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.4 py39hd77b12b_0
lerc 3.0 hd77b12b_0
libblas 3.9.0 1_h8933c1f_netlib conda-forge
libbrotlicommon 1.0.9 h2bbff1b_7
libbrotlidec 1.0.9 h2bbff1b_7
libbrotlienc 1.0.9 h2bbff1b_7
libcblas 3.9.0 5_hd5c7e75_netlib conda-forge
libclang 15.0.6.1 pypi_0 pypi
libdeflate 1.8 h2bbff1b_5
libffi 3.4.2 hd77b12b_6
libiconv 1.16 h2bbff1b_2
liblapack 3.9.0 5_hd5c7e75_netlib conda-forge
libogg 1.3.5 h2bbff1b_1
libpng 1.6.37 h2a8f88b_0
libtiff 4.5.0 h6c2663c_1
libvorbis 1.3.7 he774522_0
libwebp 1.2.4 h2bbff1b_0
libwebp-base 1.2.4 h2bbff1b_0
libxml2 2.9.14 h0ad7f3c_0
libxslt 1.1.35 h2bbff1b_0
lz4-c 1.9.4 h2bbff1b_0
m2w64-gcc-libgfortran 5.3.0 6 conda-forge
m2w64-gcc-libs 5.3.0 7 conda-forge
m2w64-gcc-libs-core 5.3.0 7 conda-forge
m2w64-gmp 6.1.0 2 conda-forge
m2w64-libwinpthread-git 5.0.0.4634.697f757 2 conda-forge
markdown 3.4.1 pypi_0 pypi
markupsafe 2.1.2 pypi_0 pypi
matplotlib 3.5.2 py39haa95532_0
matplotlib-base 3.5.2 py39hd77b12b_0
mkl 2021.4.0 haa95532_640
mkl-service 2.4.0 py39h2bbff1b_0
mkl_fft 1.3.1 py39h277e83a_0
mkl_random 1.2.2 py39hf11a4ad_0
msys2-conda-epoch 20160418 1 conda-forge
munkres 1.1.4 py_0
numexpr 2.8.4 py39h5b0cc5e_0
numpy 1.23.5 py39h3b20f71_0
numpy-base 1.23.5 py39h4da318b_0
nvidia-ml-py 11.525.84 pypi_0 pypi
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.7.0.68 pypi_0 pypi
openssl 1.1.1s h2bbff1b_0
opt-einsum 3.3.0 pypi_0 pypi
packaging 22.0 py39haa95532_0
pcre 8.45 hd77b12b_0
pillow 9.3.0 py39hd77b12b_2
pip 22.3.1 py39haa95532_0
ply 3.11 py39haa95532_0
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py39h2bbff1b_0
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pyparsing 3.0.9 py39haa95532_0
pyqt 5.15.7 py39hd77b12b_0
pyqt5-sip 12.11.0 py39hd77b12b_0
python 3.9.16 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
pywin32 305 py39h2bbff1b_0
pywinpty 2.0.2 py39h5da7b33_0
qt-main 5.15.2 he8e5bd7_7
qt-webengine 5.15.9 hb9a9bb5_5
qtwebkit 5.212 h3ad3cdb_4
requests 2.28.2 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.1.2 py39hfd4428b_0 conda-forge
scipy 1.8.1 py39h5567194_2 conda-forge
setuptools 65.6.3 py39haa95532_0
sip 6.6.2 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.40.1 h2bbff1b_0
tensorboard 2.10.1 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow-cpu 2.10.0 pypi_0 pypi
tensorflow-directml-plugin 0.4.0.dev230202 pypi_0 pypi
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-intel 2.10.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.30.0 pypi_0 pypi
tensorflow-probability 0.14.0 pyhd3eb1b0_0
termcolor 2.2.0 pypi_0 pypi
threadpoolctl 3.1.0 pyh8a188c0_0 conda-forge
tk 8.6.12 h2bbff1b_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.2 py39h2bbff1b_0
tqdm 4.64.1 py39haa95532_0
typing-extensions 4.4.0 py39haa95532_0
typing_extensions 4.4.0 py39haa95532_0
tzdata 2022g h04d1e81_0
urllib3 1.26.14 pypi_0 pypi
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.2.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
wincertstore 0.2 py39haa95532_2
winpty 0.4.3 4
wrapt 1.14.1 pypi_0 pypi
xz 5.2.10 h8cc25b3_1
zipp 3.12.1 pypi_0 pypi
zlib 1.2.13 h8cc25b3_0
zstd 1.5.2 h19a0ad4_0
=============== State File =================
{
"name": "villain",
"sessions": {
"1": {
"timestamp": 1675806813.8550851,
"no_logs": false,
"loss_names": [
"total",
"face_a",
"face_b"
],
"batchsize": 10,
"iterations": 50000,
"config": {
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"autoclip": false,
"allow_growth": false,
"mixed_precision": false,
"nan_protection": true,
"convert_batchsize": 16,
"loss_function": "ssim",
"loss_function_2": "mse",
"loss_weight_2": 100,
"loss_function_3": null,
"loss_weight_3": 0,
"loss_function_4": "ssim",
"loss_weight_4": 0,
"mask_loss_function": "mse",
"eye_multiplier": 5,
"mouth_multiplier": 15
}
}
},
"lowest_avg_loss": {
"a": 0.10296544040739536,
"b": 0.07080858370661736
},
"iterations": 50000,
"mixed_precision_layers": [
"conv_128_0_conv2d",
"leaky_re_lu",
"residual_128_0_conv2d_0",
"residual_128_0_leakyrelu_1",
"residual_128_0_conv2d_1",
"add",
"residual_128_0_leakyrelu_3",
"residual_128_1_conv2d_0",
"residual_128_1_leakyrelu_1",
"residual_128_1_conv2d_1",
"add_1",
"residual_128_1_leakyrelu_3",
"residual_128_2_conv2d_0",
"residual_128_2_leakyrelu_1",
"residual_128_2_conv2d_1",
"add_2",
"residual_128_2_leakyrelu_3",
"residual_128_3_conv2d_0",
"residual_128_3_leakyrelu_1",
"residual_128_3_conv2d_1",
"add_3",
"residual_128_3_leakyrelu_3",
"residual_128_4_conv2d_0",
"residual_128_4_leakyrelu_1",
"residual_128_4_conv2d_1",
"add_4",
"residual_128_4_leakyrelu_3",
"residual_128_5_conv2d_0",
"residual_128_5_leakyrelu_1",
"residual_128_5_conv2d_1",
"add_5",
"residual_128_5_leakyrelu_3",
"residual_128_6_conv2d_0",
"residual_128_6_leakyrelu_1",
"residual_128_6_conv2d_1",
"add_6",
"residual_128_6_leakyrelu_3",
"residual_128_7_conv2d_0",
"residual_128_7_leakyrelu_1",
"residual_128_7_conv2d_1",
"add_7",
"residual_128_7_leakyrelu_3",
"residual_128_8_conv2d_0",
"residual_128_8_leakyrelu_1",
"residual_128_8_conv2d_1",
"add_8",
"residual_128_8_leakyrelu_3",
"residual_128_9_conv2d_0",
"residual_128_9_leakyrelu_1",
"residual_128_9_conv2d_1",
"add_9",
"residual_128_9_leakyrelu_3",
"residual_128_10_conv2d_0",
"residual_128_10_leakyrelu_1",
"residual_128_10_conv2d_1",
"add_10",
"residual_128_10_leakyrelu_3",
"residual_128_11_conv2d_0",
"residual_128_11_leakyrelu_1",
"residual_128_11_conv2d_1",
"add_11",
"residual_128_11_leakyrelu_3",
"residual_128_12_conv2d_0",
"residual_128_12_leakyrelu_1",
"residual_128_12_conv2d_1",
"add_12",
"residual_128_12_leakyrelu_3",
"residual_128_13_conv2d_0",
"residual_128_13_leakyrelu_1",
"residual_128_13_conv2d_1",
"add_13",
"residual_128_13_leakyrelu_3",
"residual_128_14_conv2d_0",
"residual_128_14_leakyrelu_1",
"residual_128_14_conv2d_1",
"add_14",
"residual_128_14_leakyrelu_3",
"residual_128_15_conv2d_0",
"residual_128_15_leakyrelu_1",
"residual_128_15_conv2d_1",
"add_15",
"residual_128_15_leakyrelu_3",
"leaky_re_lu_1",
"add_16",
"conv_128_1_conv2d",
"conv_128_1_leakyrelu",
"pixel_shuffler",
"conv_128_2_conv2d",
"conv_128_2_leakyrelu",
"pixel_shuffler_1",
"conv_128_3_conv2d",
"conv_128_3_leakyrelu",
"separableconv2d_256_0_seperableconv2d",
"separableconv2d_256_0_relu",
"conv_512_0_conv2d",
"conv_512_0_leakyrelu",
"separableconv2d_1024_0_seperableconv2d",
"separableconv2d_1024_0_relu",
"flatten",
"dense",
"dense_1",
"reshape",
"upscale_512_0_conv2d_conv2d",
"upscale_512_0_conv2d_leakyrelu",
"upscale_512_0_pixelshuffler",
"upscale_512_1_conv2d_conv2d",
"upscale_512_1_pixelshuffler",
"leaky_re_lu_2",
"residual_512_0_conv2d_0",
"residual_512_0_leakyrelu_1",
"residual_512_0_conv2d_1",
"add_17",
"residual_512_0_leakyrelu_3",
"upscale_256_0_conv2d_conv2d",
"upscale_256_0_pixelshuffler",
"leaky_re_lu_3",
"residual_256_0_conv2d_0",
"residual_256_0_leakyrelu_1",
"residual_256_0_conv2d_1",
"add_18",
"residual_256_0_leakyrelu_3",
"upscale_128_0_conv2d_conv2d",
"upscale_128_0_pixelshuffler",
"leaky_re_lu_4",
"residual_128_16_conv2d_0",
"residual_128_16_leakyrelu_1",
"residual_128_16_conv2d_1",
"add_19",
"residual_128_16_leakyrelu_3",
"face_out_a_conv2d",
"upscale_512_2_conv2d_conv2d",
"upscale_512_2_pixelshuffler",
"leaky_re_lu_5",
"residual_512_1_conv2d_0",
"residual_512_1_leakyrelu_1",
"residual_512_1_conv2d_1",
"add_20",
"residual_512_1_leakyrelu_3",
"upscale_256_1_conv2d_conv2d",
"upscale_256_1_pixelshuffler",
"leaky_re_lu_6",
"residual_256_1_conv2d_0",
"residual_256_1_leakyrelu_1",
"residual_256_1_conv2d_1",
"add_21",
"residual_256_1_leakyrelu_3",
"upscale_128_1_conv2d_conv2d",
"upscale_128_1_pixelshuffler",
"leaky_re_lu_7",
"residual_128_17_conv2d_0",
"residual_128_17_leakyrelu_1",
"residual_128_17_conv2d_1",
"add_22",
"residual_128_17_leakyrelu_3",
"face_out_b_conv2d"
],
"config": {
"centering": "face",
"coverage": 87.5,
"optimizer": "adam",
"learning_rate": 5e-05,
"epsilon_exponent": -7,
"autoclip": false,
"allow_growth": false,
"mixed_precision": false,
"nan_protection": true,
"convert_batchsize": 16,
"loss_function": "ssim",
"loss_function_2": "mse",
"loss_weight_2": 100,
"loss_function_3": null,
"loss_weight_3": 0,
"loss_function_4": "ssim",
"loss_weight_4": 0,
"mask_loss_function": "mse",
"eye_multiplier": 5,
"mouth_multiplier": 15,
"penalized_mask_loss": true,
"mask_type": "vgg-obstructed",
"mask_blur_kernel": 5,
"mask_threshold": 4,
"learn_mask": false,
"lowmem": false
}
}
================= Configs ==================
--------- .faceswap ---------
backend: directml
--------- convert.ini ---------
[color.color_transfer]
clip: True
preserve_paper: True
[color.manual_balance]
colorspace: HSV
balance_1: 0.0
balance_2: 0.0
balance_3: 0.0
contrast: 0.0
brightness: 0.0
[color.match_hist]
threshold: 99.0
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 0.0
erosion_top: 0.0
erosion_bottom: 0.0
erosion_left: 0.0
erosion_right: 0.0
[scaling.sharpen]
method: none
amount: 150
radius: 0.3
threshold: 5.0
[writer.ffmpeg]
container: mp4
codec: libx264
crf: 23
preset: medium
tune: none
profile: auto
level: auto
skip_mux: False
[writer.gif]
fps: 25
loop: 0
palettesize: 256
subrectangles: False
[writer.opencv]
format: png
draw_transparent: False
separate_mask: False
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
separate_mask: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
aligner_min_scale: 0.07
aligner_max_scale: 2.0
aligner_distance: 22.5
aligner_roll: 45.0
aligner_features: True
filter_refeed: True
save_filtered: False
realign_refeeds: True
filter_realign: True
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 75
batch-size: 6
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.custom]
batch-size: 8
centering: face
fill: False
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 4
[recognition.vgg_face2]
batch-size: 16
cpu: False
--------- gui.ini ---------
[global]
fullscreen: False
tab: extract
options_panel_width: 30
console_panel_height: 20
icon_size: 14
font: default
font_size: 9
autosave_last_session: prompt
timeout: 120
auto_load_model_stats: True
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: True
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
autoclip: False
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
loss_function_2: mse
loss_weight_2: 100
loss_function_3: none
loss_weight_3: 0
loss_function_4: ssim
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 5
mouth_multiplier: 15
penalized_mask_loss: True
mask_type: vgg-obstructed
mask_blur_kernel: 5
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dlight]
features: best
details: good
output_size: 256
[model.original]
lowmem: False
[model.phaze_a]
output_size: 128
shared_fc: None
enable_gblock: True
split_fc: True
split_gblock: False
split_decoders: False
enc_architecture: fs_original
enc_scaling: 7
enc_load_weights: True
bottleneck_type: dense
bottleneck_norm: None
bottleneck_size: 1024
bottleneck_in_encoder: True
fc_depth: 1
fc_min_filters: 1024
fc_max_filters: 1024
fc_dimensions: 4
fc_filter_slope: -0.5
fc_dropout: 0.0
fc_upsampler: upsample2d
fc_upsamples: 1
fc_upsample_filters: 512
fc_gblock_depth: 3
fc_gblock_min_nodes: 512
fc_gblock_max_nodes: 512
fc_gblock_filter_slope: -0.5
fc_gblock_dropout: 0.0
dec_upscale_method: subpixel
dec_upscales_in_fc: 0
dec_norm: None
dec_min_filters: 64
dec_max_filters: 512
dec_slope_mode: full
dec_filter_slope: -0.45
dec_res_blocks: 1
dec_output_kernel: 5
dec_gaussian: True
dec_skip_last_residual: True
freeze_layers: keras_encoder
load_layers: encoder
fs_original_depth: 4
fs_original_min_filters: 128
fs_original_max_filters: 1024
fs_original_use_alt: False
mobilenet_width: 1.0
mobilenet_depth: 1
mobilenet_dropout: 0.001
mobilenet_minimalistic: False
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.unbalanced]
input_size: 128
lowmem: True
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.villain]
lowmem: False
[trainer.original]
preview_images: 14
zoom_amount: 5
rotation_range: 10
shift_range: 5
flip_chance: 50
color_lightness: 30
color_ab: 8
color_clahe_chance: 50
color_clahe_max_size: 4