ResShift 1-Click Windows, RunPod, Massed Compute, Kaggle... | ResShift 1-Click Windows, RunPod, Massed Compute, Kaggle...
ResShift 1-Click Windows, RunPod, Massed Compute, Kaggle Installers with Amazing Gradio APP and Batch Image Processing. ResShift is Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS 2023, Spotlight).


Official Repo : https://github.com/zsyOAOA/ResShift

I have developed a very advanced Gradio APP.

Developed APP Scripts and Installers : https://www.patreon.com/posts/110331752

Features

It supports following tasks:

Real-world image super-resolution

Bicubic (resize by Matlab) image super-resolution

Blind Face Restoration

Automatically saving all generated image with same name + numbering if necessary

Randomize seed feature for each generation

Batch image processing - give input and output folder paths and it batch process all images and saves

1-Click to install on Windows, RunPod, Massed Compute and Kaggle (free account)

Windows Requirements

Python 3.10, FFmpeg, Cuda 11.8, C++ tools and Git

If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial

https://youtu.be/-NjNy7afOQ0

How to Install on Windows

Make sure that you have the above requirements

Extract files into a folder like c:/reshift_v1

Double click Windows_Install.bat and it will automatically install everything for you with an isolated virtual environment folder (VENV)

After that double click Windows_Start_app.bat and start the app

When you first time use a task it will download necessary models (all under 500 MB) into accurate folders

If during download it fails, file gets corrupted sadly it doesn't verify that so delete files inside weights and restart

How to Install on RunPod, Massed Compute, Kaggle

Follow the Massed_Compute_Instructions_READ.txt and Runpod_Instructions_READ.txt

For Kaggle follow the notebook written steps

An example video of how to use my RunPod, Massed Compute scripts and Kaggle notebook can be seen

https://youtu.be/wG7oPp01COg GitHub - zsyOAOA/ResShift: ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight…