Running Disco Diffusion on a Linux instance
Disco Diffusion (aka DD) is a clip-guided diffusion model that can generate amazing images from text prompt
Deploy your Cloud GPU
You can deploy a GPU on our Marketplace to your specific configurations based on cost, RAM, storage, and vCPUs.
Select any TensorML PyTorch installation (or TensorML Everything). Note the required amount of disk space required for the installation.
Install dependencies
Create and activate a conda environment (inside Ubuntu) with all the appropriate dependencies.
Whenever you restart your computer, or close and open Ubuntu again, you will have to run that second command (conda activate pytorch
). Now install the correct version of pytorch:
Type y whenever prompted.
Now install some other dependencies:
Install Disco Diffusion
You can easily install Disco Diffusion on your TensorDock instance with git clone
Run on Jupyter Notebook
Follow this tutorial to open your Disco Diffusion .ipynb
on Jupyter Notebook
Using Disco Diffusion
Congratulations! You have set up Disco Diffusion on your TensorDock instance and it ready to be run.
For examples of how to use, follow any of these tutorials:
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