Manual installation of tensorflow after using Windows installer?

[Anonym]

Error upon opening Faceswap -

Setting Faceswap backend to NVIDIA
10/03/2020 08:18:57 INFO Log level set to: INFO
10/03/2020 08:18:57 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'
[/spoiler]

From the installer -

INFO Installing tensorflow-gpu<2.3.0,>=2.2.0
INFO "tensorflow-gpu<2.3.0,>=2.2.0" not available in Conda. Installing with pip
INFO Installing cudatoolkit==10.1.243
WARNING Couldn't install cudatoolkit==10.1.243 with Conda. Please install this package manually
INFO Installing cudnn==7.6.5
INFO Installing tensorflow-gpu<2.3.0,>=2.2.0
WARNING Couldn't install tensorflow-gpu<2.3.0,>=2.2.0 with pip. Please install this package manually

I've followed the FAQ and removed everything faceswap, python, conda, miniconda, etc related from Users, Program Files + (x86), as well as appdata, rebooted, and tried to clean install multiple times. Drivers are up to date. Unsure how to continue.

[torzdf]

Start > Anaconda Prompt

Code: Select all

conda activate faceswap
cd faceswap
python -c "from lib.sysinfo import sysinfo ;  print(sysinfo)"

Post output

[Anonym]

Code: Select all

============ System Information ============
encoding:            cp1252
git_branch:          master
git_commits:         8861101 Setup.py - Minor change to cudnn locator
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: GeForce GTX 770
gpu_devices_active:  GPU_0
gpu_driver:          456.55
gpu_vram:            GPU_0: 2048MB
os_machine:          AMD64
os_platform:         Windows-10-10.0.18362-SP0
os_release:          10
py_command:          -c
py_conda_version:    conda 4.8.5
py_implementation:   CPython
py_version:          3.8.5
py_virtual_env:      True
sys_cores:           8
sys_processor:       Intel64 Family 6 Model 60 Stepping 3, GenuineIntel
sys_ram:             Total: 16270MB, Available: 11945MB, Used: 4325MB, Free: 11945MB

=============== Pip Packages ===============
certifi==2020.6.20
cycler==0.10.0
fastcluster==1.1.26
ffmpy==0.2.3
imageio @ file:///tmp/build/80754af9/imageio_1594161405741/work
imageio-ffmpeg @ file:///home/conda/feedstock_root/build_artifacts/imageio-ffmpeg_1589202782679/work
joblib @ file:///tmp/build/80754af9/joblib_1594236160679/work
kiwisolver==1.2.0
matplotlib==3.2.2
mkl-fft==1.2.0
mkl-random==1.1.1
mkl-service==2.3.0
numpy @ file:///C:/ci/numpy_and_numpy_base_1596215850360/work
nvidia-ml-py3 @ git+https://github.com/deepfakes/nvidia-ml-py3.git@6fc29ac84b32bad877f078cb4a777c1548a00bf6
olefile==0.46
opencv-python==4.4.0.44
pathlib==1.0.1
Pillow @ file:///C:/ci/pillow_1594298230227/work
psutil @ file:///C:/ci/psutil_1598370330503/work
pyparsing==2.4.7
python-dateutil==2.8.1
pywin32==227
scikit-learn @ file:///C:/ci/scikit-learn_1598377018496/work
scipy @ file:///C:/ci/scipy_1592916963468/work
six==1.15.0
threadpoolctl @ file:///tmp/tmp9twdgx9k/threadpoolctl-2.1.0-py3-none-any.whl
tqdm @ file:///tmp/build/80754af9/tqdm_1600709023549/work
wincertstore==0.2

============== Conda Packages ==============
# packages in environment at C:\Users\William\MiniConda3\envs\faceswap:
#
# Name                    Version                   Build  Channel
blas                      1.0                         mkl
ca-certificates           2020.7.22                     0
certifi                   2020.6.20                py38_0
cudatoolkit               10.2.89              h74a9793_1
cudnn                     7.6.5                cuda10.2_0
cycler                    0.10.0                   pypi_0    pypi
fastcluster               1.1.26           py38hbe40bda_1    conda-forge
ffmpeg                    4.3.1                ha925a31_0    conda-forge
ffmpy                     0.2.3                    pypi_0    pypi
freetype                  2.10.2               hd328e21_0
git                       2.23.0               h6bb4b03_0
icc_rt                    2019.0.0             h0cc432a_1
imageio                   2.9.0                      py_0
imageio-ffmpeg            0.4.2                      py_0    conda-forge
intel-openmp              2020.2                      254
joblib                    0.16.0                     py_0
jpeg                      9b                   hb83a4c4_2
kiwisolver                1.2.0                    pypi_0    pypi
libpng                    1.6.37               h2a8f88b_0
libtiff                   4.1.0                h56a325e_1
lz4-c                     1.9.2                h62dcd97_1
matplotlib                3.2.2                    pypi_0    pypi
mkl                       2020.2                      256
mkl-service               2.3.0            py38hb782905_0
mkl_fft                   1.2.0            py38h45dec08_0
mkl_random                1.1.1            py38h47e9c7a_0
numpy                     1.19.1           py38h5510c5b_0
numpy-base                1.19.1           py38ha3acd2a_0
nvidia-ml-py3             7.352.1                  pypi_0    pypi
olefile                   0.46                       py_0
opencv-python             4.4.0.44                 pypi_0    pypi
openssl                   1.1.1h               he774522_0
pathlib                   1.0.1                      py_1
pillow                    7.2.0            py38hcc1f983_0
pip                       20.2.3                   py38_0
psutil                    5.7.2            py38he774522_0
pyparsing                 2.4.7                    pypi_0    pypi
python                    3.8.5                h5fd99cc_1
python-dateutil           2.8.1                    pypi_0    pypi
python_abi                3.8                      1_cp38    conda-forge
pywin32                   227              py38he774522_1
scikit-learn              0.23.2           py38h47e9c7a_0
scipy                     1.5.0            py38h9439919_0
setuptools                49.6.0                   py38_1
six                       1.15.0                     py_0
sqlite                    3.33.0               h2a8f88b_0
threadpoolctl             2.1.0              pyh5ca1d4c_0
tk                        8.6.10               he774522_0
tqdm                      4.49.0                     py_0
vc                        14.1                 h0510ff6_4
vs2015_runtime            14.16.27012          hf0eaf9b_3
wheel                     0.35.1                     py_0
wincertstore              0.2                      py38_0
xz                        5.2.5                h62dcd97_0
zlib                      1.2.11               h62dcd97_4
zstd                      1.4.5                h04227a9_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:                   unsharp_mask
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
threshold_1:              0.6
threshold_2:              0.7
threshold_3:              0.7
scalefactor:              0.709
batch-size:               8

[detect.s3fd]
confidence:               70
batch-size:               4

[mask.unet_dfl]
batch-size:               8

[mask.vgg_clear]
batch-size:               6

[mask.vgg_obstructed]
batch-size:               2

--------- train.ini ---------

[global]
coverage:                 68.75
icnr_init:                False
conv_aware_init:          False
optimizer:                adam
learning_rate:            5e-05
reflect_padding:          False
allow_growth:             False
mixed_precision:          False
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.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.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
disable_warp:             False
color_lightness:          30
color_ab:                 8
color_clahe_chance:       50
color_clahe_max_size:     4

[torzdf]

Your GPU is too old for the latest Faceswap, but you can still use the 1.0 release.

Follow the uninstall instructions here:
app.php/faqpage#f1r2

and install version 1.0:
https://github.com/deepfakes/faceswap/r ... tag/v1.0.0