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auto_gfpgan-installer's Introduction

GFPGAN Automated Installer



Welcome to the GFPGAN Automated Installer repository! This batch script simplifies the installation process for GFPGAN, a powerful image-to-image translation tool, so that you don't have to run any complex commands manually. With this script, you can effortlessly set up GFPGAN on your system with optional NVIDIA GPU support and a user-friendly interface.

Please check out the awesome GFPGAN project and give them a star, they deserve it!

Features

  • Automatic Installation: Say goodbye to manual installations! This script automates the GFPGAN installation process, saving you time and effort.

  • NVIDIA GPU Support: If you have an NVIDIA GPU, you can choose to enable CUDA support for faster processing. The script detects your GPU and configures GFPGAN accordingly.

  • User-Friendly Interface: Enjoy a hassle-free experience with a user-friendly interface. No need to deal with complex commands or configuration files.

  • Colorful Output: The script provides colorful output, making the installation process visually appealing and easy to follow.

  • Check the Code: Due to the script being a batch file you can just right-click the file and select "Edit" to review the code by yourself.

Prerequisites

Before running the script, make sure you have the following prerequisites in place:

  • A Windows-based system.
  • Administrator rights
  • NVIDIA GPU (optional for GPU support).

Usage

  1. Clone or download this repository to your local machine.

  2. Open a command prompt or PowerShell window and navigate to the repository directory.

  3. Run the auto_gfpgan-installer.bat script by double-clicking it or executing it from the command line.

  4. Follow the on-screen instructions to complete the installation. You can choose whether to enable NVIDIA GPU support during the installation process.

  5. Once the installation is complete, you're ready to use GFPGAN!

Support

If you encounter any issues or have questions, feel free to open an issue. I'm here to help you with any problems or inquiries you may have.

Contributing

I welcome contributions from the open-source community. If you'd like to improve this script or add new features, feel free to open a pull request or contact me via issue.

License

This project is licensed under the MIT License.


Enjoy your GFPGAN installation.

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auto_gfpgan-installer's Issues

Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check

venv "C:\Users\pc\stable-diffusion-webui\venv\Scripts\Python.exe"
Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr 5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.6.0
Commit hash: 5ef669de080814067961f28357256e8fe27544f4
Traceback (most recent call last):
File "C:\Users\pc\stable-diffusion-webui\launch.py", line 48, in
main()
File "C:\Users\pc\stable-diffusion-webui\launch.py", line 39, in main
prepare_environment()
File "C:\Users\pc\stable-diffusion-webui\modules\launch_utils.py", line 356, in prepare_environment
raise RuntimeError(
RuntimeError: Torch is not able to use GPU; add --skip-torch-cuda-test to COMMANDLINE_ARGS variable to disable this check
Press any key to continue . . .

error running video.py

Portraitarchiv_Crawler\GFPGAN\video.py", line 7
< !DOCTYPE html >
^
SyntaxError: invalid syntax

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