[SOLUTION] ERROR: Cannot install -r requirements.txt and numpy==1.23.5 because these package versions have conflicting dependencies.

[J-Broadway]

Was running into a number of issues getting deep live cam installed on my Geforce RTX 2060, Windows 10 machine. I have resolved the issues and wanted to make a quick post on how I solved them. EDIT: After seeing this thread, I may have been experiencing errors since I got it running with Python 3.11.2.

Here was the full error (for SEO purposes)

ERROR: Cannot install -r requirements.txt (line 13), -r requirements.txt (line 17), -r requirements.txt (line 4), -r requirements.txt (line 5), -r requirements.txt (line 6) and numpy==1.23.5 because these package versions have conflicting dependencies.

I also ran into this Numpy error

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "H:\Deepfake\Deep-Live-Cam\run.py", line 3, in <module>
    from modules import core
  File "H:\Deepfake\Deep-Live-Cam\modules\core.py", line 15, in <module>
    import onnxruntime
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\onnxruntime\__init__.py", line 23, in <module>
    from onnxruntime.capi._pybind_state import ExecutionMode  # noqa: F401
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\onnxruntime\capi\_pybind_state.py", line 32, in <module>
    from .onnxruntime_pybind11_state import *  # noqa
AttributeError: _ARRAY_API not found
ImportError: numpy.core.multiarray failed to import

The above exception was the direct cause of the following exception:

SystemError: <built-in function __import__> returned a result with an exception set

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "H:\Deepfake\Deep-Live-Cam\run.py", line 3, in <module>
    from modules import core
  File "H:\Deepfake\Deep-Live-Cam\modules\core.py", line 16, in <module>
    import tensorflow
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\__init__.py", line 38, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\__init__.py", line 37, in <module>
    from tensorflow.python.eager import context
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\eager\context.py", line 34, in <module>
    from tensorflow.python.client import pywrap_tf_session
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\client\pywrap_tf_session.py", line 19, in <module>
    from tensorflow.python.client._pywrap_tf_session import *
AttributeError: _ARRAY_API not found

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "H:\Deepfake\Deep-Live-Cam\run.py", line 3, in <module>
    from modules import core
  File "H:\Deepfake\Deep-Live-Cam\modules\core.py", line 16, in <module>
    import tensorflow
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\__init__.py", line 38, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\__init__.py", line 37, in <module>
    from tensorflow.python.eager import context
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\eager\context.py", line 36, in <module>
    from tensorflow.python.eager import execute
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\eager\execute.py", line 21, in <module>
    from tensorflow.python.framework import dtypes
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\framework\dtypes.py", line 30, in <module>
    from tensorflow.python.lib.core import _pywrap_float8
AttributeError: _ARRAY_API not found
ImportError: numpy.core._multiarray_umath failed to import
ImportError: numpy.core.umath failed to import

A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.0.2 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.

If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.

Traceback (most recent call last):  File "H:\Deepfake\Deep-Live-Cam\run.py", line 3, in <module>
    from modules import core
  File "H:\Deepfake\Deep-Live-Cam\modules\core.py", line 16, in <module>
    import tensorflow
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\__init__.py", line 38, in <module>
    from tensorflow.python.tools import module_util as _module_util
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\__init__.py", line 37, in <module>
    from tensorflow.python.eager import context
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\eager\context.py", line 36, in <module>
    from tensorflow.python.eager import execute
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\eager\execute.py", line 21, in <module>
    from tensorflow.python.framework import dtypes
  File "H:\Deepfake\Deep-Live-Cam\venv\Lib\site-packages\tensorflow\python\framework\dtypes.py", line 30, in <module>
    from tensorflow.python.lib.core import _pywrap_float8
AttributeError: _ARRAY_API not found
ImportError: numpy.core._multiarray_umath failed to import
ImportError: numpy.core.umath failed to import

To solve the issue I made to sure to use a virtual environment venv and installed each package in requirements.txt one by one as shown:

numpy==1.23.5
opencv-python==4.8.1.78
onnx==1.16.0
insightface==0.7.3
psutil==5.9.8
tk==0.1.0
customtkinter==5.2.2
pillow==9.5.0
torch==2.0.1+cu118
torchvision==0.15.2+cu118
onnxruntime-gpu==1.18.0
opennsfw2==0.10.2
protobuf==4.23.2
tqdm==4.66.4
gfpgan==1.3.8

Next I installed the CUDA enabled version of pytorch
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118

Here's a command to check if CUDA is available. Make sure you're running all these commands in your virtual environment.
python -c "import torch; print(torch.__version__); print(torch.cuda.is_available())"

Should return something like:

2.0.1+cu118
True

If yours says 2.0.1+cpu it means that PyTorch is installed with CPU support only

After installing torch is when I started getting the Numpy error. I solved it by rolling back Numpy a version.
python -m pip install "numpy<2"

Though after that, chatGPT recommended to re-build onnxruntime so I did:

# Uninstall onnxruntime
pip uninstall onnxruntime onnxruntime-gpu

# Re-install onnxruntime
pip install onnxruntime-gpu==1.16.3

After that I was successfully able to run:
python run.py --execution-provider cuda

Hope this is helpful to anyone.