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Unfortunately, due to its hardware requirements, many people cannot run it on their own computers. That's why I created a Runpod.io template for it so that anyone can use it no matter what computer they have: https://runpod.io/console/deploy?template=x39vw9jp5w&ref=2pdhmpu1
(It is worth choosing A40 among the GPUs. It is only $0.39 per hour)
How to use it:
Register on the RunPod interface and top up some money to the virtual account (a few dollars).
Open the template link that I shared with you.
Selecting an A40 machine in Deploy
If you don't see it in the template, search for: Sana by Mp3Pintyo
After it starts, you have to wait until the Connect button turns purple. Let's click on it. After 15 minutes, you can use the 2 Connect to the HTTP button. (It downloads and installs a lot in the background. )
Port 15432: Starts a GUI to generate
Port 8888: starts the JupyterLab graphical interface where we access the files in the /content folder.
If you are no longer using the system, stop the Pod and delete it!
The text was updated successfully, but these errors were encountered:
Unfortunately, due to its hardware requirements, many people cannot run it on their own computers. That's why I created a Runpod.io template for it so that anyone can use it no matter what computer they have:
https://runpod.io/console/deploy?template=x39vw9jp5w&ref=2pdhmpu1
(It is worth choosing A40 among the GPUs. It is only $0.39 per hour)
How to use it:
Port 15432: Starts a GUI to generate
Port 8888: starts the JupyterLab graphical interface where we access the files in the /content folder.
The text was updated successfully, but these errors were encountered: