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| Please register for RunPod at: https://get.runpod.io/955rkuppqv4h |
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| Example tutorial for learn how to install and use RunPod is below |
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| (starts at 22:03) : https://youtu.be/KW-MHmoNcqo?si=QN8X8Sjn13ZYu-EU&t=1323 |
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| RunPod permanent network storage tutorial : https://youtu.be/8Qf4x3-DFf4 |
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| When deploying a Pod select min 24 GB GPU like RTX 3090 but 4090 should work way faster |
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| Recommended GPUs are 48 GB for maximum speed with no-tiling like A40, A6000, L40S |
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| select runpod template - this is important |
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| RunPod Pytorch 2.2.0 |
| runpod/pytorch:2.2.0-py3.10-cuda12.1.1 |
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| Edit Template |
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| Make volume disk 50 gb or bigger - this is important |
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| Add HTTP port 7860 and 7861 to the exposed ports list to enable proxy connection. |
| By default, it will start with the --share option for Gradio sharing. |
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| Upload all files to the workspace folder. |
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| To install, run the following commands: |
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| cd /workspace |
| export HF_HOME="/workspace" |
| chmod +x RunPod_Install.sh |
| ./RunPod_Install.sh |
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| This will install everything fully automatically |
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| To use after installation: |
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| You don't have to do above steps anymore once you done them |
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| Then whenever you want to use roop-unleashed deepfake |
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| Open a new terminal inside the main roop-unleashed folder in your workspace as shown in tutorial video |
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| Execute below commands |
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| cd /workspace/rop-unleash |
| source ./venv/bin/activate |
| python run.py |
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| If you don't want gradio share, edit the settings.py and make share False before starting with above command |
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| After you have turned off the pod or restarted the pod execute below commands 1 time. Do this after each restart or turned off pod and started again |
| Copy all and paste and hit enter at once |
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| apt update |
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| yes | apt-get install -y python3.10-tk |
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| yes | apt-get install ffmpeg |
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| yes | apt-get install p7zip-full |
