Just built a new Ubuntu box with my RTX2080ti and my GPU is at 1%. Below are my settings any help would be awesome!!
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============ System Information ============
backend: nvidia
encoding: UTF-8
git_branch: master
git_commits: 8388241 bugfix: Always load images as 3 channel color
gpu_cuda: 11.
gpu_cudnn: No global version found. Check Conda packages for Conda cuDNN
gpu_devices: GPU_0: NVIDIA GeForce RTX 2080 Ti
gpu_devices_active: GPU_0
gpu_driver: 535.86.05
gpu_vram: GPU_0: 11264MB (10765MB free)
os_machine: x86_64
os_platform: Linux-6.2.0-32-generic-x86_64-with-glibc2.37
os_release: 6.2.0-32-generic
py_command: /home/david/faceswap/faceswap.py gui
py_conda_version: conda 23.5.2
py_implementation: CPython
py_version: 3.10.12
py_virtual_env: True
sys_cores: 12
sys_processor: x86_64
sys_ram: Total: 15869MB, Available: 14124MB, Used: 1448MB, Free: 11866MB
=============== Pip Packages ===============
absl-py==1.4.0
astunparse==1.6.3
cachetools==5.3.1
certifi==2023.7.22
charset-normalizer==3.2.0
contourpy @ file:///opt/conda/conda-bld/contourpy_1663827406301/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
fastcluster @ file:///home/conda/feedstock_root/build_artifacts/fastcluster_1649783254102/work
ffmpy @ file:///home/conda/feedstock_root/build_artifacts/ffmpy_1659474992694/work
flatbuffers==23.5.26
fonttools==4.25.0
gast==0.4.0
google-auth==2.22.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.57.0
h5py==3.9.0
idna==3.4
imageio @ file:///croot/imageio_1687264943895/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1673483481485/work
joblib @ file:///croot/joblib_1685113087166/work
keras==2.10.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///croot/kiwisolver_1672387140495/work
libclang==16.0.6
Markdown==3.4.4
MarkupSafe==2.1.3
matplotlib @ file:///croot/matplotlib-suite_1693812469450/work
mkl-fft==1.3.6
mkl-random @ file:///work/mkl/mkl_random_1682950433854/work
mkl-service==2.4.0
munkres==1.1.4
numexpr @ file:///croot/numexpr_1683221822650/work
numpy @ file:///croot/numpy_and_numpy_base_1691091611330/work
nvidia-ml-py @ file:///home/conda/feedstock_root/build_artifacts/nvidia-ml-py_1693425331741/work
oauthlib==3.2.2
opencv-python==4.8.0.76
opt-einsum==3.3.0
packaging @ file:///croot/packaging_1693575174725/work
pexpect @ file:///tmp/build/80754af9/pexpect_1605563209008/work
Pillow==9.4.0
ply==3.11
protobuf==3.19.6
psutil @ file:///opt/conda/conda-bld/psutil_1656431268089/work
ptyprocess @ file:///tmp/build/80754af9/ptyprocess_1609355006118/work/dist/ptyprocess-0.7.0-py2.py3-none-any.whl
pyasn1==0.5.0
pyasn1-modules==0.3.0
pyparsing @ file:///opt/conda/conda-bld/pyparsing_1661452539315/work
PyQt5-sip==12.11.0
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
requests==2.31.0
requests-oauthlib==1.3.1
rsa==4.9
scikit-learn @ file:///croot/scikit-learn_1690978916802/work
scipy @ file:///croot/scipy_1691606680890/work/dist/scipy-1.11.1-cp310-cp310-linux_x86_64.whl#sha256=3616caa5917138103c8ea6bb1735ea02594873648112aac0b79b36e069d40223
sip @ file:///tmp/abs_44cd77b_pu/croots/recipe/sip_1659012365470/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==2.10.1
tensorflow-estimator==2.10.0
tensorflow-io-gcs-filesystem==0.33.0
termcolor==2.3.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
tornado @ file:///croot/tornado_1690848263220/work
tqdm @ file:///croot/tqdm_1679561862951/work
typing_extensions==4.7.1
urllib3==1.26.16
Werkzeug==2.3.7
wrapt==1.15.0
============== Conda Packages ==============
# packages in environment at /home/david/miniconda3/envs/faceswap:
#
# Name Version Build Channel
_libgcc_mutex 0.1 main
_openmp_mutex 5.1 1_gnu
absl-py 1.4.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 h5eee18b_7
brotli-bin 1.0.9 h5eee18b_7
bzip2 1.0.8 h7b6447c_0
c-ares 1.19.1 h5eee18b_0
ca-certificates 2023.7.22 hbcca054_0 conda-forge
cachetools 5.3.1 pypi_0 pypi
certifi 2023.7.22 pypi_0 pypi
charset-normalizer 3.2.0 pypi_0 pypi
contourpy 1.0.5 py310hdb19cb5_0
cudatoolkit 11.8.0 h6a678d5_0
curl 8.2.1 hdbd6064_0
cycler 0.11.0 pyhd3eb1b0_0
cyrus-sasl 2.1.28 h52b45da_1
dbus 1.13.18 hb2f20db_0
expat 2.5.0 h6a678d5_0
fastcluster 1.2.6 py310h769672d_1 conda-forge
ffmpeg 4.2.2 h20bf706_0
ffmpy 0.3.0 pyhb6f538c_0 conda-forge
flatbuffers 23.5.26 pypi_0 pypi
fontconfig 2.14.1 h4c34cd2_2
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.12.1 h4a9f257_0
gast 0.4.0 pypi_0 pypi
gdbm 1.18 hd4cb3f1_4
gettext 0.21.0 h39681ba_1
giflib 5.2.1 h5eee18b_3
git 2.40.1 pl5340h36fbf9e_1
glib 2.69.1 he621ea3_2
gmp 6.2.1 h58526e2_0 conda-forge
gnutls 3.6.13 h85f3911_1 conda-forge
google-auth 2.22.0 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.57.0 pypi_0 pypi
gst-plugins-base 1.14.1 h6a678d5_1
gstreamer 1.14.1 h5eee18b_1
h5py 3.9.0 pypi_0 pypi
icu 58.2 he6710b0_3
idna 3.4 pypi_0 pypi
imageio 2.31.1 py310h06a4308_0
imageio-ffmpeg 0.4.8 pyhd8ed1ab_0 conda-forge
intel-openmp 2023.1.0 hdb19cb5_46305
joblib 1.2.0 py310h06a4308_0
jpeg 9e h5eee18b_1
keras 2.10.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.4 py310h6a678d5_0
krb5 1.20.1 h143b758_1
lame 3.100 h7f98852_1001 conda-forge
lcms2 2.12 h3be6417_0
ld_impl_linux-64 2.38 h1181459_1
lerc 3.0 h295c915_0
libbrotlicommon 1.0.9 h5eee18b_7
libbrotlidec 1.0.9 h5eee18b_7
libbrotlienc 1.0.9 h5eee18b_7
libclang 16.0.6 pypi_0 pypi
libclang13 14.0.6 default_he11475f_1
libcups 2.4.2 h2d74bed_1
libcurl 8.2.1 h251f7ec_0
libdeflate 1.17 h5eee18b_0
libedit 3.1.20221030 h5eee18b_0
libev 4.33 h7f8727e_1
libevent 2.1.12 hdbd6064_1
libffi 3.4.4 h6a678d5_0
libgcc-ng 11.2.0 h1234567_1
libgfortran-ng 11.2.0 h00389a5_1
libgfortran5 11.2.0 h1234567_1
libgomp 11.2.0 h1234567_1
libllvm14 14.0.6 hdb19cb5_3
libnghttp2 1.52.0 h2d74bed_1
libopus 1.3.1 h7f98852_1 conda-forge
libpng 1.6.39 h5eee18b_0
libpq 12.15 hdbd6064_1
libssh2 1.10.0 hdbd6064_2
libstdcxx-ng 11.2.0 h1234567_1
libtiff 4.5.1 h6a678d5_0
libuuid 1.41.5 h5eee18b_0
libvpx 1.7.0 h439df22_0
libwebp 1.2.4 h11a3e52_1
libwebp-base 1.2.4 h5eee18b_1
libxcb 1.15 h7f8727e_0
libxkbcommon 1.0.1 h5eee18b_1
libxml2 2.10.4 hcbfbd50_0
libxslt 1.1.37 h2085143_0
lz4-c 1.9.4 h6a678d5_0
markdown 3.4.4 pypi_0 pypi
markupsafe 2.1.3 pypi_0 pypi
matplotlib 3.7.2 py310h06a4308_0
matplotlib-base 3.7.2 py310h1128e8f_0
mkl 2023.1.0 h213fc3f_46343
mkl-service 2.4.0 py310h5eee18b_1
mkl_fft 1.3.6 py310h1128e8f_1
mkl_random 1.2.2 py310h1128e8f_1
munkres 1.1.4 py_0
mysql 5.7.24 h721c034_2
ncurses 6.4 h6a678d5_0
nettle 3.6 he412f7d_0 conda-forge
nspr 4.35 h6a678d5_0
nss 3.89.1 h6a678d5_0
numexpr 2.8.4 py310h85018f9_1
numpy 1.25.2 py310h5f9d8c6_0
numpy-base 1.25.2 py310hb5e798b_0
nvidia-ml-py 12.535.108 pyhd8ed1ab_0 conda-forge
oauthlib 3.2.2 pypi_0 pypi
opencv-python 4.8.0.76 pypi_0 pypi
openh264 2.1.1 h4ff587b_0
openssl 3.0.10 h7f8727e_2
opt-einsum 3.3.0 pypi_0 pypi
packaging 23.1 py310h06a4308_0
pcre 8.45 h295c915_0
pcre2 10.42 hebb0a14_0
perl 5.34.0 h5eee18b_2
pexpect 4.8.0 pyhd3eb1b0_3
pillow 9.4.0 py310h6a678d5_0
pip 23.2.1 py310h06a4308_0
ply 3.11 py310h06a4308_0
protobuf 3.19.6 pypi_0 pypi
psutil 5.9.0 py310h5eee18b_0
ptyprocess 0.7.0 pyhd3eb1b0_2
pyasn1 0.5.0 pypi_0 pypi
pyasn1-modules 0.3.0 pypi_0 pypi
pyparsing 3.0.9 py310h06a4308_0
pyqt 5.15.7 py310h6a678d5_1
pyqt5-sip 12.11.0 pypi_0 pypi
python 3.10.12 h955ad1f_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.10 2_cp310 conda-forge
qt-main 5.15.2 h7358343_9
qt-webengine 5.15.9 h9ab4d14_7
qtwebkit 5.212 h3fafdc1_5
readline 8.2 h5eee18b_0
requests 2.31.0 pypi_0 pypi
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.9 pypi_0 pypi
scikit-learn 1.3.0 py310h1128e8f_0
scipy 1.11.1 py310h5f9d8c6_0
setuptools 68.0.0 py310h06a4308_0
sip 6.6.2 py310h6a678d5_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.41.2 h5eee18b_0
tbb 2021.8.0 hdb19cb5_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 2.10.1 pypi_0 pypi
tensorflow-estimator 2.10.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.33.0 pypi_0 pypi
termcolor 2.3.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.12 h1ccaba5_0
toml 0.10.2 pyhd3eb1b0_0
tornado 6.3.2 py310h5eee18b_0
tqdm 4.65.0 py310h2f386ee_0
typing-extensions 4.7.1 pypi_0 pypi
tzdata 2023c h04d1e81_0
urllib3 1.26.16 pypi_0 pypi
werkzeug 2.3.7 pypi_0 pypi
wheel 0.38.4 py310h06a4308_0
wrapt 1.15.0 pypi_0 pypi
x264 1!157.20191217 h7b6447c_0
xz 5.4.2 h5eee18b_0
zlib 1.2.13 h5eee18b_0
zstd 1.5.5 hc292b87_0
================= Configs ==================
--------- convert.ini ---------
[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
[color.color_transfer]
clip: True
preserve_paper: True
[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.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
cpu: True
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.cv2_dnn]
confidence: 50
[detect.s3fd]
confidence: 70
batch-size: 4
[recognition.vgg_face2]
batch-size: 16
cpu: False
[mask.bisenet_fp]
batch-size: 8
cpu: False
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.vgg_clear]
batch-size: 6
[mask.unet_dfl]
batch-size: 8
[mask.vgg_obstructed]
batch-size: 2
[mask.custom]
batch-size: 8
centering: face
fill: 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: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
save_optimizer: exit
lr_finder_iterations: 1000
lr_finder_mode: set
lr_finder_strength: default
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: none
loss_weight_4: 0
mask_loss_function: mse
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dlight]
features: best
details: good
output_size: 256
[model.unbalanced]
input_size: 128
lowmem: False
nodes: 1024
complexity_encoder: 128
complexity_decoder_a: 384
complexity_decoder_b: 512
[model.realface]
input_size: 64
output_size: 128
dense_nodes: 1536
complexity_encoder: 128
complexity_decoder: 512
[model.dfl_sae]
input_size: 128
architecture: df
autoencoder_dims: 0
encoder_dims: 42
decoder_dims: 21
multiscale_decoder: False
[model.dfaker]
output_size: 128
[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.dfl_h128]
lowmem: False
[model.villain]
lowmem: False
[model.original]
lowmem: False
[trainer.original]
preview_images: 14
mask_opacity: 30
mask_color: #ff0000
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
--------- .faceswap ---------
backend: nvidia