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✅ Working guide for running on DigitalOcean H100 Ubuntu ✅
GitHub: https://github.com/microsoft/TRELLIS/issues/222
Guide: https://github.com/repulsio/TRELLIS/blob/repulsio/digitalocean/GUIDE.md
Diff: https://github.com/microsoft/TRELLIS/compare/main...repulsio:repulsio/digitalocean (Only setup.sh was modified)
why not do the same for HF ? why to go to DO ?
Scroll down further
There's the option for 1 GPU for $3.99/hr and 8 GPU for $23.92/hr
why not do the same for HF ? why to go to DO ?
I haven't explored this yet. I've been using DO in the past
Here's a cheaper option for $0.50/hour on HyperStack RTX-A6000
:
Guide: https://github.com/repulsio/TRELLIS/blob/repulsio/hyperstack/GUIDE.md
Diff: https://github.com/microsoft/TRELLIS/compare/main...repulsio:repulsio/hyperstack
ok its working
how can I have /publicdropletip/trellis1 - /publicdropletip/trellis2 - /publicdropletip/trellis3 etc... in the same droplet to // the creation ?
You can do something like:
GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=8000 python app.py
GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=8001 python app.py
GRADIO_SERVER_NAME=0.0.0.0 GRADIO_SERVER_PORT=8002 python app.py