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AuraSR Giga Upscaler V1 by SECourses - Upscales to 4x
AuraSR Giga Upscaler V1 by SECourses - Upscales to 4x
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AuraSR is a 600M parameter upsampler model derived from the GigaGAN paper. It works super fast and uses a very limited VRAM below 5 GB. It is deterministic upscaler. It works perfect in some images but fails in some images so it is worth to give it a shot.
AuraSR is a 600M parameter upsampler model derived from the GigaGAN paper. It works super fast and uses a very limited VRAM below 5 GB. It is deterministic upscaler. It works perfect in some images but fails in some images so it is worth to give it a shot.
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GitHub official repo : 
GitHub official repo : 
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https://github.com/fal-ai/aura-sr
https://github.com/fal-ai/aura-sr
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I have developed 1-click installers and a batch upscaler App.
I have developed 1-click installers and a batch upscaler App.
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You can download installers and advanced batch App from below link:
You can download installers and advanced batch App from below link:
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link
https://www.patreon.com/posts/110060645
https://www.patreon.com/posts/110060645
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Check the screenshots and examples below
Check the screenshots and examples below
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Windows Requirements
Windows Requirements
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Python 3.10, FFmpeg, Cuda 11.8, C++ tools and Git
Python 3.10, FFmpeg, Cuda 11.8, C++ tools and Git
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If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
If it doesn't work make sure to below tutorial and install everything exactly as shown in this below tutorial
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https://youtu.be/-NjNy7afOQ0
https://youtu.be/-NjNy7afOQ0
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How to Install and Use on Windows
How to Install and Use on Windows
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Extract the attached GigaGAN_Upscaler_v1.zip into a folder like c:/giga_upscale
Extract the attached GigaGAN_Upscaler_v1.zip into a folder like c:/giga_upscale
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Then double click and install with Windows_Install.bat file
Then double click and install with Windows_Install.bat file
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It will generate an isolated virtual environment venv folder and install requirements
It will generate an isolated virtual environment venv folder and install requirements
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Then double click and start the Gradio App with Windows_Start_App.bat file
Then double click and start the Gradio App with Windows_Start_App.bat file
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When first time running it will download models into your Hugging Face cache folder
When first time running it will download models into your Hugging Face cache folder
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Hugging Face cache folder setup explained below
Hugging Face cache folder setup explained below
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https://www.patreon.com/posts/108419878
https://www.patreon.com/posts/108419878
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All upscaled images will be saved into outputs folder automatically with same name and plus numbering if necessary
All upscaled images will be saved into outputs folder automatically with same name and plus numbering if necessary
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You can also batch upscale a folder
You can also batch upscale a folder
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How to Install and Use on Cloud
How to Install and Use on Cloud
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Follow Massed Compute and RunPod instructions
Follow Massed Compute and RunPod instructions
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Usage is same as on Windows
Usage is same as on Windows
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For Kaggle start a Kaggle notebook, import our Kaggle notebook and follow the instructions
For Kaggle start a Kaggle notebook, import our Kaggle notebook and follow the instructions
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App Screenshots and Examples below
App Screenshots and Examples below
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AuraSR Giga Upscaler V1 by SECourses - Upscales to 4x

AuraSR is a 600M parameter upsampler model derived from the GigaGAN paper. It works super fast and uses a very limited VRAM below 5 GB. It is deterministic upscaler. It works perfect in some images but fails in some images so it is worth to give it a shot.

GitHub official repo : https://github.com/fal-ai/aura-sr

I have developed 1-click installers and a batch upscaler App.

You can download installers and advanced batch App from below link:
https://www.patreon.com/posts/110060645

Check the screenshots and examples below

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 and Use on Windows

Extract the attached GigaGAN_Upscaler_v1.zip into a folder like c:/giga_upscale

Then double click and install with Windows_Install.bat file

It will generate an isolated virtual environment venv folder and install requirements

Then double click and start the Gradio App with Windows_Start_App.bat file

When first time running it will download models into your Hugging Face cache folder

Hugging Face cache folder setup explained below

https://www.patreon.com/posts/108419878

All upscaled images will be saved into outputs folder automatically with same name and plus numbering if necessary

You can also batch upscale a folder

How to Install and Use on Cloud

Follow Massed Compute and RunPod instructions

Usage is same as on Windows

For Kaggle start a Kaggle notebook, import our Kaggle notebook and follow the instructions

App Screenshots and Examples below










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