I am trying to use CUDA 11.1 instead of 10.1 to use this but instead of setting thing sup, I get the error "KeyError: 'cu111'" and I'm not sure what to do. Here is everything in the anaconda prompt pasted:

` (base) C:\Users[My Username]>D:

(base) D:>cd D:\Installations\Funny Fullbody Deepfake\iPERCore-main

(base) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>conda create -n iperc python=3.6.6 Collecting package metadata (current_repodata.json): done Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: done

==> WARNING: A newer version of conda exists. <== current version: 4.10.3 latest version: 4.11.0

Please update conda by running

$ conda update -n base -c defaults conda

Package Plan

environment location: D:\Installations\Anaconda3\envs\iperc

added / updated specs:

python=3.6.6

The following NEW packages will be INSTALLED:

certifi pkgs/main/win-64::certifi-2021.5.30-py36haa95532_0 pip pkgs/main/win-64::pip-21.2.2-py36haa95532_0 python pkgs/main/win-64::python-3.6.6-hea74fb7_0 setuptools pkgs/main/win-64::setuptools-58.0.4-py36haa95532_0 vc pkgs/main/win-64::vc-14.2-h21ff451_1 vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2 wheel pkgs/main/noarch::wheel-0.37.1-pyhd3eb1b0_0 wincertstore pkgs/main/win-64::wincertstore-0.2-py36h7fe50ca_0

Proceed ([y]/n)? y

Preparing transaction: done Verifying transaction: done Executing transaction: done #

To activate this environment, use

$ conda activate iperc

To deactivate an active environment, use

$ conda deactivate

(base) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>conda activate iperc

(iperc) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>conda install pytorch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.0 cudatoolkit=11.1 -c pytorch -c conda-forge Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Collecting package metadata (repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve.

PackagesNotFoundError: The following packages are not available from current channels:

torchvision==0.9.1+cu111
pytorch==1.8.1+cu111

Current channels:

To search for alternate channels that may provide the conda package you're looking for, navigate to

https://anaconda.org

and use the search bar at the top of the page.

(iperc) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>python setup.py develop Cuda version is 11.1 Traceback (most recent call last): File "setup.py", line 357, in torch_torchvision_mmcv = platform_dependencies() File "setup.py", line 237, in platform_dependencies torch = get_torch_version(cuda_version_str, WINDOWS_PRECOMPILED_TORCH_CUDA_PAIRS, DEFAULT_WINDOWS_CUDA_TORCH) File "setup.py", line 207, in get_torch_version torch_version_str = default_torch_cuda_mapper[cuda_version_str] KeyError: 'cu111'

(iperc) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>conda install pytorch torchvision torchaudio cudatoolkit=11.1 -c pytorch -c conda-forge Collecting package metadata (current_repodata.json): done Solving environment: failed with initial frozen solve. Retrying with flexible solve. Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source. Collecting package metadata (repodata.json): done Solving environment: done

==> WARNING: A newer version of conda exists. <== current version: 4.10.3 latest version: 4.11.0

Please update conda by running

$ conda update -n base -c defaults conda

Package Plan

environment location: D:\Installations\Anaconda3\envs\iperc

added / updated specs:

cudatoolkit=11.1
pytorch
torchaudio
torchvision

The following packages will be downloaded:

package                    |            build
---------------------------|-----------------
lerc-3.0                   |       h0e60522_0         140 KB  conda-forge
libdeflate-1.8             |       h8ffe710_0          61 KB  conda-forge
------------------------------------------------------------
                                       Total:         202 KB

The following NEW packages will be INSTALLED:

blas conda-forge/win-64::blas-2.112-mkl blas-devel conda-forge/win-64::blas-devel-3.9.0-12_win64_mkl cpuonly pytorch/noarch::cpuonly-2.0-0 cudatoolkit conda-forge/win-64::cudatoolkit-11.1.1-heb2d755_9 dataclasses conda-forge/noarch::dataclasses-0.8-pyh787bdff_2 freetype conda-forge/win-64::freetype-2.10.4-h546665d_1 intel-openmp conda-forge/win-64::intel-openmp-2022.0.0-h57928b3_3663 jbig conda-forge/win-64::jbig-2.1-h8d14728_2003 jpeg conda-forge/win-64::jpeg-9d-h8ffe710_0 lcms2 conda-forge/win-64::lcms2-2.12-h2a16943_0 lerc conda-forge/win-64::lerc-3.0-h0e60522_0 libblas conda-forge/win-64::libblas-3.9.0-12_win64_mkl libcblas conda-forge/win-64::libcblas-3.9.0-12_win64_mkl libdeflate conda-forge/win-64::libdeflate-1.8-h8ffe710_0 liblapack conda-forge/win-64::liblapack-3.9.0-12_win64_mkl liblapacke conda-forge/win-64::liblapacke-3.9.0-12_win64_mkl libpng conda-forge/win-64::libpng-1.6.37-h1d00b33_2 libtiff conda-forge/win-64::libtiff-4.3.0-hd413186_2 libuv conda-forge/win-64::libuv-1.43.0-h8ffe710_0 libzlib conda-forge/win-64::libzlib-1.2.11-h8ffe710_1013 lz4-c conda-forge/win-64::lz4-c-1.9.3-h8ffe710_1 m2w64-gcc-libgfor~ conda-forge/win-64::m2w64-gcc-libgfortran-5.3.0-6 m2w64-gcc-libs conda-forge/win-64::m2w64-gcc-libs-5.3.0-7 m2w64-gcc-libs-co~ conda-forge/win-64::m2w64-gcc-libs-core-5.3.0-7 m2w64-gmp conda-forge/win-64::m2w64-gmp-6.1.0-2 m2w64-libwinpthre~ conda-forge/win-64::m2w64-libwinpthread-git-5.0.0.4634.697f757-2 mkl conda-forge/win-64::mkl-2021.4.0-h0e2418a_729 mkl-devel conda-forge/win-64::mkl-devel-2021.4.0-h57928b3_730 mkl-include conda-forge/win-64::mkl-include-2021.4.0-h0e2418a_729 msys2-conda-epoch conda-forge/win-64::msys2-conda-epoch-20160418-1 numpy conda-forge/win-64::numpy-1.19.5-py36h4b40d73_2 olefile conda-forge/noarch::olefile-0.46-pyh9f0ad1d_1 openjpeg conda-forge/win-64::openjpeg-2.4.0-hb211442_1 pillow conda-forge/win-64::pillow-8.3.2-py36h10c25d6_0 python_abi conda-forge/win-64::python_abi-3.6-2_cp36m pytorch pytorch/win-64::pytorch-1.10.1-py3.6_cpu_0 pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cpu tbb conda-forge/win-64::tbb-2021.5.0-h2d74725_0 tk conda-forge/win-64::tk-8.6.11-h8ffe710_1 torchaudio pytorch/win-64::torchaudio-0.10.1-py36_cpu torchvision pytorch/win-64::torchvision-0.11.2-py36_cpu typing_extensions conda-forge/noarch::typing_extensions-4.0.1-pyha770c72_0 xz conda-forge/win-64::xz-5.2.5-h62dcd97_1 zlib conda-forge/win-64::zlib-1.2.11-h8ffe710_1013 zstd conda-forge/win-64::zstd-1.5.1-h6255e5f_0

The following packages will be SUPERSEDED by a higher-priority channel:

certifi pkgs/main::certifi-2021.5.30-py36haa9~ --> conda-forge::certifi-2021.5.30-py36ha15d459_0

Proceed ([y]/n)? y

Downloading and Extracting Packages libdeflate-1.8 | 61 KB | ############################################################################ | 100% lerc-3.0 | 140 KB | ############################################################################ | 100% Preparing transaction: done Verifying transaction: done Executing transaction: - "By downloading and using the CUDA Toolkit conda packages, you accept the terms and conditions of the CUDA End User License Agreement (EULA): https://docs.nvidia.com/cuda/eula/index.html"

done

(iperc) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>python demo/motion_imitate.py --gpu_ids 0 --image_size 512 --num_source 2 --output_dir "./results" --assets_dir "./assets" --model_id "test" --src_path "path?=./assets/samples/sources/man/man.png,name?=man" --ref_path "path?=./assets/samples/references/fortnite.mp4,name?=fortnite,pose_fc?=300" Traceback (most recent call last): File "demo/motion_imitate.py", line 11, in from iPERCore.services.options.options_setup import setup ModuleNotFoundError: No module named 'iPERCore'

(iperc) D:\Installations\Funny Fullbody Deepfake\iPERCore-main>`

iPERDance / iPERCore

KeyError: 'cu111' #139

Package Plan

To activate this environment, use

$ conda activate iperc

To deactivate an active environment, use

$ conda deactivate

Package Plan