First of all thanks to this great community!
I had been successfully running FaceSwap since over a year. Now after the most recent OTA update (from within the GUI) it has stopped working.
Exact sequence of events:
- Updated from within the GUI
- Tried restarting to commit the changes
- Even since then in the initial (conda) window I get the error:
ERROR There was an error importing Tensorflow. This is most likely because you do not have TensorFlow installed, or you are trying to run tensorflow-gpu on a system without an Nvidia graphics card. Original import error: No module named 'tensorflow'
Troubleshooting I have already tried:
- Deleting and reinstalling
- The suggestion by torzdf (forum.faceswap.dev/app.php/faqpage#f1r1) also couldn't help.
- Easy and Manual install in Miniconda and Anaconda both
The strange thing is, this is not only an issue on my NVIDIA desktop (output attached from torzdf's 2nd suggestion in (2)) but also on my laptop with an AMD RADEON chip - exact same error
I have tried the same steps on the laptop as well but no luck.
The output from print(sysinfo) from within the FaceSwap folder:
Code: Select all
============ System Information ============
encoding: cp1252
git_branch: Not Found
git_commits: Not Found
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: NVIDIA GeForce GT 1030
gpu_devices_active: GPU_0
gpu_driver: 511.79
gpu_vram: GPU_0: 2048MB
os_machine: AMD64
os_platform: Windows-10-10.0.19043-SP0
os_release: 10
py_command: -c
py_conda_version: conda 4.13.0
py_implementation: CPython
py_version: 3.9.12
py_virtual_env: False
sys_cores: 6
sys_processor: Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
sys_ram: Total: 16317MB, Available: 11529MB, Used: 4788MB, Free: 11529MB
=============== Pip Packages ===============
absl-py==1.1.0
astunparse==1.6.3
brotlipy==0.7.0
cachetools==5.2.0
certifi==2022.5.18.1
cffi @ file:///C:/ci_310/cffi_1642682485096/work
charset-normalizer @ file:///tmp/build/80754af9/charset-normalizer_1630003229654/work
colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work
conda==4.13.0
conda-package-handling @ file:///C:/ci/conda-package-handling_1649106011304/work
cryptography @ file:///C:/ci/cryptography_1652083563162/work
cycler @ file:///tmp/build/80754af9/cycler_1637851556182/work
fastcluster @ file:///D:/bld/fastcluster_1649783471014/work
ffmpy==0.2.3
flatbuffers==1.12
fonttools==4.25.0
gast==0.4.0
google-auth==2.6.6
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
grpcio==1.46.3
h5py==3.7.0
idna @ file:///tmp/build/80754af9/idna_1637925883363/work
imageio @ file:///tmp/build/80754af9/imageio_1617700267927/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1649960641006/work
importlib-metadata==4.11.4
joblib @ file:///tmp/build/80754af9/joblib_1635411271373/work
keras==2.9.0
Keras-Preprocessing==1.1.2
kiwisolver @ file:///C:/ci/kiwisolver_1653292407425/work
libclang==14.0.1
Markdown==3.3.7
matplotlib @ file:///C:/ci/matplotlib-suite_1647423638658/work
menuinst @ file:///C:/ci/menuinst_1631733438520/work
mkl-fft==1.3.1
mkl-random @ file:///C:/ci/mkl_random_1626186184308/work
mkl-service==2.4.0
munkres==1.1.4
numpy @ file:///C:/ci/numpy_and_numpy_base_1652784039997/work
nvidia-ml-py==11.510.69
oauthlib==3.2.0
opencv-python==4.5.5.64
opt-einsum==3.3.0
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
Pillow==9.0.1
protobuf==3.19.4
psutil @ file:///C:/ci/psutil_1612298199233/work
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycosat==0.6.3
pycparser @ file:///tmp/build/80754af9/pycparser_1636541352034/work
pyOpenSSL @ file:///opt/conda/conda-bld/pyopenssl_1643788558760/work
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
PySocks @ file:///C:/ci/pysocks_1605307512533/work
python-dateutil @ file:///tmp/build/80754af9/python-dateutil_1626374649649/work
pywin32==302
requests @ file:///opt/conda/conda-bld/requests_1641824580448/work
requests-oauthlib==1.3.1
rsa==4.8
ruamel-yaml-conda @ file:///C:/ci/ruamel_yaml_1616016898638/work
scikit-learn @ file:///C:/ci/scikit-learn_1642617276183/work
scipy @ file:///C:/ci/scipy_1641555170412/work
sip==4.19.13
six @ file:///tmp/build/80754af9/six_1644875935023/work
tensorboard==2.9.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow==2.9.1
tensorflow-estimator==2.9.0
tensorflow-io-gcs-filesystem==0.26.0
termcolor==1.1.0
threadpoolctl @ file:///Users/ktietz/demo/mc3/conda-bld/threadpoolctl_1629802263681/work
tornado @ file:///C:/ci/tornado_1606924294691/work
tqdm @ file:///C:/ci/tqdm_1650636210717/work
typing_extensions==4.2.0
urllib3 @ file:///C:/ci/urllib3_1650639883891/work
Werkzeug==2.1.2
win-inet-pton @ file:///C:/ci/win_inet_pton_1605306162074/work
wincertstore==0.2
wrapt==1.14.1
zipp==3.8.0
============== Conda Packages ==============
# packages in environment at C:\Users\ArT\miniconda3:
#
# Name Version Build Channel
absl-py 1.1.0 pypi_0 pypi
astunparse 1.6.3 pypi_0 pypi
blas 1.0 mkl
brotli 1.0.9 ha925a31_2
brotlipy 0.7.0 py39h2bbff1b_1003
ca-certificates 2022.5.18.1 h5b45459_0 conda-forge
cachetools 5.2.0 pypi_0 pypi
certifi 2022.5.18.1 py39hcbf5309_0 conda-forge
cffi 1.15.0 py39h2bbff1b_1
charset-normalizer 2.0.4 pyhd3eb1b0_0
colorama 0.4.4 pyhd3eb1b0_0
conda 4.13.0 py39hcbf5309_1 conda-forge
conda-package-handling 1.8.1 py39h8cc25b3_0
console_shortcut 0.1.1 4
cryptography 37.0.1 py39h21b164f_0
cudatoolkit 11.2.2 h933977f_10 conda-forge
cudnn 8.1.0.77 h3e0f4f4_0 conda-forge
cycler 0.11.0 pyhd3eb1b0_0
fastcluster 1.2.6 py39h2e25243_1 conda-forge
ffmpeg 4.3.1 ha925a31_0 conda-forge
flatbuffers 1.12 pypi_0 pypi
fonttools 4.25.0 pyhd3eb1b0_0
freetype 2.10.4 hd328e21_0
gast 0.4.0 pypi_0 pypi
google-auth 2.6.6 pypi_0 pypi
google-auth-oauthlib 0.4.6 pypi_0 pypi
google-pasta 0.2.0 pypi_0 pypi
grpcio 1.46.3 pypi_0 pypi
h5py 3.7.0 pypi_0 pypi
icc_rt 2019.0.0 h0cc432a_1
icu 58.2 ha925a31_3
idna 3.3 pyhd3eb1b0_0
imageio 2.9.0 pyhd3eb1b0_0
imageio-ffmpeg 0.4.7 pyhd8ed1ab_0 conda-forge
importlib-metadata 4.11.4 pypi_0 pypi
intel-openmp 2021.4.0 haa95532_3556
joblib 1.1.0 pyhd3eb1b0_0
jpeg 9e h2bbff1b_0
keras 2.9.0 pypi_0 pypi
keras-preprocessing 1.1.2 pypi_0 pypi
kiwisolver 1.4.2 py39hd77b12b_0
libclang 14.0.1 pypi_0 pypi
libpng 1.6.37 h2a8f88b_0
libtiff 4.2.0 he0120a3_1
libwebp 1.2.2 h2bbff1b_0
lz4-c 1.9.3 h2bbff1b_1
markdown 3.3.7 pypi_0 pypi
matplotlib 3.5.1 py39haa95532_1
matplotlib-base 3.5.1 py39hd77b12b_1
menuinst 1.4.18 py39h59b6b97_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
munkres 1.1.4 py_0
numpy 1.22.3 py39h7a0a035_0
numpy-base 1.22.3 py39hca35cd5_0
oauthlib 3.2.0 pypi_0 pypi
openssl 1.1.1o h8ffe710_0 conda-forge
opt-einsum 3.3.0 pypi_0 pypi
packaging 21.3 pyhd3eb1b0_0
pillow 9.0.1 py39hdc2b20a_0
pip 22.1.2 pypi_0 pypi
powershell_shortcut 0.0.1 3
protobuf 3.19.4 pypi_0 pypi
psutil 5.8.0 py39h2bbff1b_1
pyasn1 0.4.8 pypi_0 pypi
pyasn1-modules 0.2.8 pypi_0 pypi
pycosat 0.6.3 py39h2bbff1b_0
pycparser 2.21 pyhd3eb1b0_0
pyopenssl 22.0.0 pyhd3eb1b0_0
pyparsing 3.0.4 pyhd3eb1b0_0
pyqt 5.9.2 py39hd77b12b_6
pysocks 1.7.1 py39haa95532_0
python 3.9.12 h6244533_0
python-dateutil 2.8.2 pyhd3eb1b0_0
python_abi 3.9 2_cp39 conda-forge
pywin32 302 py39h2bbff1b_2
qt 5.9.7 vc14h73c81de_0
requests 2.27.1 pyhd3eb1b0_0
requests-oauthlib 1.3.1 pypi_0 pypi
rsa 4.8 pypi_0 pypi
ruamel_yaml 0.15.100 py39h2bbff1b_0
scikit-learn 1.0.2 py39hf11a4ad_1
scipy 1.7.3 py39h0a974cb_0
setuptools 61.2.0 py39haa95532_0
sip 4.19.13 py39hd77b12b_0
six 1.16.0 pyhd3eb1b0_1
sqlite 3.38.3 h2bbff1b_0
tensorboard 2.9.0 pypi_0 pypi
tensorboard-data-server 0.6.1 pypi_0 pypi
tensorboard-plugin-wit 1.8.1 pypi_0 pypi
tensorflow 2.9.1 pypi_0 pypi
tensorflow-estimator 2.9.0 pypi_0 pypi
tensorflow-io-gcs-filesystem 0.26.0 pypi_0 pypi
termcolor 1.1.0 pypi_0 pypi
threadpoolctl 2.2.0 pyh0d69192_0
tk 8.6.11 h2bbff1b_1
tornado 6.1 py39h2bbff1b_0
tqdm 4.64.0 py39haa95532_0
typing-extensions 4.2.0 pypi_0 pypi
tzdata 2022a hda174b7_0
urllib3 1.26.9 py39haa95532_0
vc 14.2 h21ff451_1
vs2015_runtime 14.27.29016 h5e58377_2
werkzeug 2.1.2 pypi_0 pypi
wheel 0.37.1 pyhd3eb1b0_0
win_inet_pton 1.1.0 py39haa95532_0
wincertstore 0.2 py39haa95532_2
wrapt 1.14.1 pypi_0 pypi
xz 5.2.5 h8cc25b3_1
yaml 0.2.5 he774522_0
zipp 3.8.0 pypi_0 pypi
zlib 1.2.12 h8cc25b3_2
zstd 1.5.2 h19a0ad4_0
================= Configs ==================
--------- .faceswap ---------
backend: nvidia
--------- 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.box_blend]
type: gaussian
distance: 11.0
radius: 5.0
passes: 1
[mask.mask_blend]
type: normalized
kernel_size: 3
passes: 4
threshold: 4
erosion: 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
jpg_quality: 75
png_compress_level: 3
[writer.pillow]
format: png
draw_transparent: False
optimize: False
gif_interlace: True
jpg_quality: 75
png_compress_level: 3
tif_compression: tiff_deflate
--------- extract.ini ---------
[global]
allow_growth: False
[align.fan]
batch-size: 12
[detect.cv2_dnn]
confidence: 50
[detect.mtcnn]
minsize: 20
scalefactor: 0.709
batch-size: 8
threshold_1: 0.6
threshold_2: 0.7
threshold_3: 0.7
[detect.s3fd]
confidence: 70
batch-size: 4
[mask.bisenet_fp]
batch-size: 8
weights: faceswap
include_ears: False
include_hair: False
include_glasses: True
[mask.unet_dfl]
batch-size: 8
[mask.vgg_clear]
batch-size: 6
[mask.vgg_obstructed]
batch-size: 2
--------- train.ini ---------
[global]
centering: face
coverage: 87.5
icnr_init: False
conv_aware_init: False
optimizer: adam
learning_rate: 5e-05
epsilon_exponent: -7
reflect_padding: False
allow_growth: False
mixed_precision: False
nan_protection: True
convert_batchsize: 16
[global.loss]
loss_function: ssim
mask_loss_function: mse
l2_reg_term: 100
eye_multiplier: 3
mouth_multiplier: 2
penalized_mask_loss: True
mask_type: extended
mask_blur_kernel: 3
mask_threshold: 4
learn_mask: False
[model.dfaker]
output_size: 128
[model.dfl_h128]
lowmem: False
[model.dfl_sae]
input_size: 128
clipnorm: True
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: 40
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_norm: none
dec_min_filters: 64
dec_max_filters: 512
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
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: False
clipnorm: 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