Closed FurkanGozukara closed 7 months ago
You deserve ban for posting your "premium" sh**y stuff here. Everything can be done with following authors readme file.
Can you please ban this guy ?
Hello and thanks for your work! You made a great video and your results are very important to us. Maybe someone else thinks it's inappropriate to post this as an issue. We can make it better and find you a better place to share your thoughts!
Hello and thanks for your work! You made a great video and your results are very important to us. Maybe someone else thinks it's inappropriate to post this as an issue. We can make it better and find you a better place to share your thoughts!
Thank you so much. I will hopefully make more people to know this Model. It is not getting the attention it deserves.
https://github.com/Fanghua-Yu/SUPIR
no paywall, one click installer
I tried to install, based on the readme, but got a bunch of errors when installing requirements.
@Akarity I made it installed via Python 3.10.11 venv. I really don't like Conda
https://github.com/Fanghua-Yu/SUPIR
no paywall, one click installer
there is no one click installer on this page
New updates added to our Gradio. I keep adding features requested by the supporters
people would have less of a problem with this he didn't put it behind a paywall. this isn't helping anyone but his own pockets. Sure people need to make money, but it's done in such a sh*tty and spammy way - everywhere!
Just updated to V19
We updated to V21 and we got some SUPIR improvements
We just made a new big update V22
Auto generate comparison video
https://github.com/Fanghua-Yu/SUPIR/assets/19240467/60b9f4e1-f968-4d26-8333-553739f7b8a5
GitHub policy isn't working here? Ban this patreon $$ "developer", please. He is spamming everywhere.
How can I use it inside Pinokio?
We have been working non stop and added so many features
You can download and use from here standalone fully auto installer including download models : https://www.patreon.com/posts/supir-1-click-99176057
@PierrunoYT
https://github.com/Fanghua-Yu/SUPIR/assets/19240467/fa10341f-9f07-4d9c-8926-1f73ebe1bdaa
We are now version 41 : https://www.patreon.com/posts/99176057
Here look at all the features we brought
Displaying full status of upscale
Auto make comparison video
https://github.com/Fanghua-Yu/SUPIR/assets/19240467/81787dd7-5f1a-4f6b-83f4-259d02726750
Look all the options and changelogs
We now have even process video input automatically
I have dedicated several days, working over 12 hours each day, on SUPIR (Scaling-UP Image Restoration), a cutting-edge image enhancement and upscaling model introduced in the paper Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild.
This model is simply mind-blowing. At the bottom of this post, you will see side-by-side comparisons of SUPIR versus the extremely expensive online service, Magnific AI. Magnific is known to be the best among the community. However, SUPIR is by far superior. SUPIR also significantly outperforms Topaz AI upscale. SUPIR manages to remain faithful to the original image almost 100% while adding details and achieving super upscaling with the best realism.
I made a full 33-minute tutorial, fully chaptered with manually written captions. The chapter's info is posted at the very bottom.
You can watch the video here: SUPIR: New SOTA Open Source Image Upscaler & Enhancer Model Better Than Magnific & Topaz AI Tutorial
SUPIR: New SOTA Open Source Image Upscaler & Enhancer Model Better Than Magnific & Topaz AI Tutorial
You can join our 6500+ member Discord for any help & discussion: https://discord.com/servers/software-engineering-courses-secourses-772774097734074388
Original repo of SUPIR: https://github.com/Fanghua-Yu/SUPIR
I have worked hard to make a 1-click installer for Windows & RunPod. RunPod uses Linux, thus if you are a Linux user you can use RunPod files to install locally on Linux as well with a 1-click install.
Full instructions are shared in this post along with the scripts: https://www.patreon.com/posts/supir-1-click-99176057
Here are the installer files:
The installer works with Python 3.10.11. It generates a new pip venv and installs everything there. So you don't need Conda. Since it will generate its own VENV, it will not affect any other installations on your system.
The installer installs xFormers and Triton (we are using a pre-compiled wheel) and Pytorch 2.2.0 automatically for you on Windows and Linux.
The Gradio app launching interface is shown below:
Currently, with the newest optimizations, the SUPIR app works great on RTX 3060 without LLaVA. I have tested it on my 12 GB single RTX 3060 GPU. So if you have a GPU that has 12GB or more VRAM, you can use it.
The installer downloads all models automatically as well. Also, I changed the base SDXL model with Juggernaut XL - V9 since it works better.
You can simply use any SDXL model. Instructions are on the Patreon post.
I also greatly improved the base Gradio APP. I made the interface more usable.
I added the number of images and randomized seed features. I made the image upscale scaler 0.1 precision.
Moreover, I have added a batch upscale feature as well.
You can see the improved advanced Gradio app interface below.
All the images the app generates will be automatically saved under the outputs folder. You can define the batch image processing outputs folder as well.
Here is the content of the Patreon post:
The chapters of the tutorial are as follows:
SUPIR vs MAGNIFIC AI
Carefully look at the how much SUPIR can be loyal to the original image vs Magnific can be loyal to original image