Unlock the Power of Real-ESRGAN

Unlock the Power of Real-ESRGAN

Table of Contents:

1. Introduction
2. Installing Real ESR CAN on Windows 2.1. Running the Windows executable files 2.2. Running through QDA and PyTorch
3. Understanding the performance comparison between Vulkan and CUDA
4. Running images through Real ESR CAN 4.1. Downloading the Windows executable file 4.2. Setting up the file directory 4.3. Generating outputs using the executable file
5. Running videos through Real ESR CAN 5.1. Saving the "func.py" file 5.2. Installing Anaconda 5.3. Setting up the environment for video processing 5.4. Running the video conversion process
6. Installing Real ESR CAN with QDA and PyTorch 6.1. Setting up the repository 6.2. Installing Anaconda 6.3. Installing PyTorch 6.4. Installing required libraries
7. Testing images with Real ESR CAN on CUDA
8. Testing videos with Real ESR CAN on CUDA
9. Conclusion
10. FAQs

Installing and Running Real ESR CAN on Windows

Real ESR CAN is a powerful AI Tool that allows for image and video upscaling. In this tutorial, we will guide You through the process of installing and running Real ESR CAN on your Windows machine.

Introduction

Real ESR CAN is a state-of-the-art AI model that can significantly enhance the resolution and quality of images and videos. Whether you are working on a personal project or a professional production, Real ESR CAN can help you achieve stunning results.

Installing Real ESR CAN on Windows

There are two main methods to install and run Real ESR CAN on Windows - using the provided Windows executable files or through QDA and PyTorch. We will first walk you through the steps of running the Windows executable files.

Running the Windows executable files

1. Download the Windows executable file from the official repository and install it on your machine.
2. Create a file directory to store all the necessary codes.
3. Extract the downloaded zip file into the created directory.
4. Open the Windows prompt and navigate to the directory.
5. Run the executable file using the provided command, specifying the input image path.
6. The output image will be generated in the same directory.

Running through QDA and PyTorch

If you prefer to install and run Real ESR CAN using QDA and PyTorch, follow these steps:

1. Set up the repository by either cloning it or manually downloading the files.
2. Install Anaconda on your machine.
3. Open the Anaconda prompt and navigate to the repository directory.
4. Install PyTorch and the required libraries using the provided commands.
5. Download the pre-trained models and move them to the appropriate directory.
6. Activate the environment and proceed to testing images or videos on CUDA.

Understanding the performance comparison between Vulkan and CUDA

Real ESR CAN offers two options for running the AI model - Vulkan and CUDA. Vulkan allows for higher resolutions but may take longer, while CUDA offers faster processing but limited resolution options. Choose the option that best suits your project requirements.

Running images through Real ESR CAN

To run images through Real ESR CAN, follow these steps:

1. Download the Windows executable file from the official repository.
2. Set up a file directory for your codes and extract the downloaded zip file.
3. Open the Windows prompt and navigate to the directory.
4. Run the executable file using the provided command, replacing the brackets with the desired input image file name.
5. The output image will be generated in the same directory.

Running videos through Real ESR CAN

Running videos through Real ESR CAN requires additional steps:

1. Save the "func.py" file by clicking on it, selecting "Raw," and saving it.
2. Install Anaconda on your machine.
3. Open the Anaconda prompt and navigate to the desired directory.
4. Install OpenCV Python and FFmpeg using the provided commands.
5. Create an "input_videos" folder and move your video file into it.
6. Adjust the file path in the command to match your video file name.
7. Run the command to generate the upscaled video.

Installing Real ESR CAN with QDA and PyTorch

To install and run Real ESR CAN using QDA and PyTorch, follow these steps:

1. Set up the repository by cloning it or downloading the files manually.
2. Install Anaconda on your machine.
3. Open the Anaconda prompt and navigate to the repository directory.
4. Install PyTorch using the provided command.
5. Install the necessary libraries using the provided command.
6. Load the pre-trained models into the correct directory.
7. Activate the environment and proceed to the image or video testing phase.

Testing images with Real ESR CAN on CUDA

To test images with Real ESR CAN on CUDA, move the desired images into the "input" folder and run the provided command. The upscaled images will be generated and saved in the "results" folder.

Testing videos with Real ESR CAN on CUDA

To test videos with Real ESR CAN on CUDA, move the desired video into the "input" folder and run the provided commands. The video conversion process will be executed, and the upscaled video will be saved in the "results" folder.

Conclusion

Real ESR CAN is a versatile tool for enhancing the resolution and quality of images and videos. By following the installation and running instructions, you can experience the power of Real ESR CAN on your Windows machine.

FAQs (Frequently Asked Questions)

Q: Can Real ESR CAN be installed on platforms other than Windows? A: Real ESR CAN can also be installed on platforms like Collab, but the tutorial focuses on the Windows installation.

Q: What is the performance difference between Vulkan and CUDA? A: Vulkan allows for higher resolution but slower processing, while CUDA offers faster processing but limited resolution choices.

Q: Can Real ESR CAN run videos above 1080p? A: Real ESR CAN on CUDA can only process videos with resolutions up to 1080p. For higher resolutions, consider using Vulkan.

Q: Can Real ESR CAN be used without an NVIDIA GPU? A: Yes, Real ESR CAN on Vulkan does not require an NVIDIA GPU.

Q: Can the output images or videos be customized? A: Yes, the input and output file names and directories can be adjusted based on your preferences.

Q: How can I delete the unnecessary folders after running Real ESR CAN? A: To save space, delete the folders containing PNG files generated during the process.

Q: Where can I find further assistance or support? A: For any additional questions or support, you can reach out on the Discord channel provided by the author.