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Latest installer zip file: GigaGAN_Upscaler_v7.zip
GitHub official repo : https://github.com/fal-ai/aura-sr
Our apps works totally locally, nothing online required after installation
This model is really VRAM friendly and also fairly fast
Try it and see if it works for your case, I have tested some different style images and worked fairly well
Still weaker than SUPIR but really really faster and uses much lesser VRAM, thus works on weaker PCs
This is the best upscaler with lesser resources demand and fast speed
Now we have implemented Reduce Seam Artifacts feature as well and enabled by default with a checkbox
This model always upscales into 4x and uses same VRAM no matter which base image you use
Higher resolution base images increases processing time
Video Tutorial : Hopefully coming soon
Now support RTX 5000 series on Windows and RunPod
Libraries updated to latest
Python 3.10, FFmpeg, CUDA 12.4, cuDNN 8.9 and 9.4+, C++ tools and Git
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
First watch above requirements tutorial and follow every step
Extract zip archive into a drive like c:/giga_upscaler
Longer directory path causes issues and don't use space characters in folder names
Double click and install with Windows_Install.bat and that is it
Then run with Windows_Start_App.bat to start Paints Upscaler SECourses APP
And follow above and below attached screenshot
Please register via this link : https://vm.massedcompute.com/signup?linkId=lp_034338&sourceId=secourses&tenantId=massed-compute
Use our coupon SECourses
Our coupon works on all GPUs now
H100 has amazing price and speed but you can use like RTX A6000 ADA as well
Full details here : https://www.patreon.com/posts/26671823
Then select our image SECourses from Creator dropdown
Then follow Massed_Compute_Instructions_READ.txt
Same as my any other Massed Compute installer script
Example tutorial for learn how to install and use Massed Compute
(Starts at 12:58) : https://youtu.be/KW-MHmoNcqo?si=G1WbG-Qw4ujWvOtG&t=778
Please register via this link : https://runpod.io?ref=1aka98lq
Then follow Runpod_Instructions_READ.txt
Same as my any other RunPod installer script
Use the template written in Runpod_Instructions_READ.txt file
Example tutorial for learn how to install and use RunPod
(starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323
Gradio Live Share now working so we don't need Ngrok Tunneling anymore
Register Kaggle for free and verify your phone number : https://www.kaggle.com/
Upload the Kaggle notebook file from downloaded attachments
Follow the instructions on the Kaggle notebook
How to Use Kaggle Notebooks General Tutorial
(Starts at 27:34) https://youtu.be/KW-MHmoNcqo?si=vkKTvWHbZVrn4x7h&t=1654


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