Ready-to-go Dance Diffusion Music GPU Environment
The creators of this Dance Diffusion are Harmonai. We just provide a cloud environment that let's you run their project out of the box 🤙
This guide shows you how to spin up an Ubuntu Cloud GPU environment ready to generate music with Dance Diffusion.
To get started, hit this link to create a new Brev environment from our template
- Sign up for an account
- It'll redirect you to an environment creation page pre-configured with the defaults you need. (We recommend sticking with the default GPU).
- At the bottom, add a payment method...we give you 30 minutes free but we just need to make sure people don't abuse our systems 🙂
- Hit create!
Open your new Dance Diffusion Brev environment:
brev open dance-diffusion --wait
Brev uses a CLI app to interface with and open your remote dev environments. If you don't have the Brev CLI install it here
Running the above command will open up a VSCode window SSHed into the remote machine. You'll first want to install the extensions you need to run the notebooks:
code --install-extension ms-toolsai.jupyter code --install-extension ms-python.python
Now we're ready to go! There are two files in the repo to worry about: Dance_Diffusion.ipynb and Finetune_Dance_Diffusion.ipynb. Each notebook has instructions inside it on how to run it though each section should run out of the box. Jump into Dance_Diffusion.ipynb and start running!
Two things to consider:
- The "Install dependencies and restart notebook" section will crash intentionally.
- Make sure you run each Notebook with the Conda base environment kernel. This is where we install all Python dependencies at setup
- If you regenerate your own sounds, the notebook will start a server running Gradio on port 7860. Because we are on a remote machine, we need to forward this port to our local machine: Next to the terminal icon in VSCode you should see a Ports section, forward port 7860 there and access it in your browser at localhost:7861
Message us on Discord if you have any issues!