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ResShift 1-Click Windows, RunPod, Massed Compute, Kaggle Installers with Amazing Gradio APP and Batch Image Processing (Patreon)

Published:
2024-08-18 21:57:40
Imported:
2024-08

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Content

Patreon exclusive posts index to find our scripts easily, Patreon scripts updates history to see which updates arrived to which scripts and amazing Patreon special generative scripts list that you can use in any of your task.

Join discord to get help, chat, discuss and also tell me your discord username to get your special rank : SECourses Discord

Please also Star, Watch and Fork our Stable Diffusion & Generative AI  GitHub repository and join our Reddit subreddit and follow me on LinkedIn (my real profile)

ResShift: 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.

Scripts : ResShift_v1.zip

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 below watch it to learn

  • https://youtu.be/wG7oPp01COg

Some Screenshots

  

Comments

Pew

This looks promising! Thank you for putting this out here. I know SUPIR is reported to be the best upscaler (like) solution. However, I cannot get it it to manage the image process correctly as every attempt results in images that are worse off than I started. I know there's something I'm doing wrong, though I haven't been able to determine the right recipe. ResShift looks far more simplistic, I hope it works good enough for the purpose.