zsyOAOA / ResShift

ResShift: Efficient Diffusion Model for Image Super-resolution by Residual Shifting (NeurIPS@2023 Spotlight, TPAMI@2024)
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1-Click Windows, RunPod, Massed Compute, Kaggle Installer With Very Advanced Gradio APP That Supports Batch Processing As Well #90

Open FurkanGozukara opened 3 months ago

FurkanGozukara commented 3 months ago

I have developed a very advanced Gradio APP.

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

Features

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 below watch it to learn https://youtu.be/wG7oPp01COg

Some Screenshots

Bicubic (resize by Matlab) image super-resolution blind face restoration ex1 ex2 ex3 ex4 ex5 ex6 ex7