sd-webui-deoldify
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SpenserCai
Install fails inside venv Linux environment.
*** Error running install.py for extension /home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/extensions/sd-webui-deoldify.
*** Command: "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/venv/bin/python3.10" "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/extensions/sd-webui-deoldify/install.py"
*** Error code: 1
*** stdout: All models for DeOldify are already downloaded.
*** Installing fastai==1.0.60 for DeOldify extension.
*** Installing fastai
***
*** stderr: /home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/extensions/sd-webui-deoldify/install.py:6: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html
*** import pkg_resources
*** Traceback (most recent call last):
*** File "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/extensions/sd-webui-deoldify/install.py", line 89, in <module>
*** check_and_install_dependencies()
*** File "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/extensions/sd-webui-deoldify/install.py", line 71, in check_and_install_dependencies
*** launch.run_pip(f"install {dep}", package_name)
*** File "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/modules/launch_utils.py", line 144, in run_pip
*** return run(f'"{python}" -m pip {command} --prefer-binary{index_url_line}', desc=f"Installing {desc}", errdesc=f"Couldn't install {desc}", live=live)
*** File "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/modules/launch_utils.py", line 116, in run
*** raise RuntimeError("\n".join(error_bits))
*** RuntimeError: Couldn't install fastai.
*** Command: "/home/nicholas/Desktop/SSD/AI/stable-diffusion-webui/venv/bin/python3.10" -m pip install fastai==1.0.60 --prefer-binary
*** Error code: 1
*** stdout: Collecting fastai==1.0.60
*** Using cached fastai-1.0.60-py3-none-any.whl.metadata (14 kB)
*** Collecting bottleneck (from fastai==1.0.60)
*** Using cached Bottleneck-1.4.2-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (7.7 kB)
*** Requirement already satisfied: fastprogress>=0.2.1 in ./venv/lib/python3.10/site-packages (from fastai==1.0.60) (1.0.3)
*** Collecting beautifulsoup4 (from fastai==1.0.60)
*** Using cached beautifulsoup4-4.13.4-py3-none-any.whl.metadata (3.8 kB)
*** Requirement already satisfied: matplotlib in ./venv/lib/python3.10/site-packages (from fastai==1.0.60) (3.10.1)
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*** Using cached numexpr-2.10.2-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl.metadata (8.1 kB)
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*** Collecting nvidia-ml-py3 (from fastai==1.0.60)
*** Using cached nvidia-ml-py3-7.352.0.tar.gz (19 kB)
*** Preparing metadata (setup.py): started
*** Preparing metadata (setup.py): finished with status 'done'
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*** Building wheels for collected packages: nvidia-ml-py3
*** Building wheel for nvidia-ml-py3 (setup.py): started
*** Building wheel for nvidia-ml-py3 (setup.py): finished with status 'error'
*** Running setup.py clean for nvidia-ml-py3
*** Failed to build nvidia-ml-py3
***
*** stderr: error: subprocess-exited-with-error
***
*** × python setup.py bdist_wheel did not run successfully.
*** │ exit code: 1
*** ╰─> [6 lines of output]
*** usage: setup.py [global_opts] cmd1 [cmd1_opts] [cmd2 [cmd2_opts] ...]
*** or: setup.py --help [cmd1 cmd2 ...]
*** or: setup.py --help-commands
*** or: setup.py cmd --help
***
*** error: invalid command 'bdist_wheel'
*** [end of output]
***
*** note: This error originates from a subprocess, and is likely not a problem with pip.
*** ERROR: Failed building wheel for nvidia-ml-py3
*** ERROR: Failed to build installable wheels for some pyproject.toml based projects (nvidia-ml-py3)
***
Same here! Incompatible packages I suppose. Just found out, that ist's a naming compatibility issue. ROS2 brings a package named "scripts", deoldify brings package with the same name. I would need to uninstall ROS2 or fix deoldidy myself to make it run. Maintenance is not the best here. So I'm gonna get rid of deoldify and use img2img and controlnet. There are are also lots of Comfy UI workflows and Webui howtos.
