# Running Disco Diffusion on a Linux instance
## Deploy your Cloud GPU
You can deploy a GPU on our [Marketplace](https://marketplace.tensordock.com/order_list) 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.
```
conda create -n pytorch_110
conda activate pytorch_110
```
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:
```
conda install pytorch==1.10 torchvision torchaudio cudatoolkit==11.1 -c pytorch -c conda-forge
```
Type y whenever prompted.
Now install some other dependencies:
```
conda install jupyter pandas requests matplotlib
conda install opencv -c conda-forge
```
## Install Disco Diffusion
You can easily install Disco Diffusion on your TensorDock instance with `git clone`
```bash
$ git clone https://github.com/MohamadZeina/Disco_Diffusion_Local
```
## Run on Jupyter Notebook
Follow [this tutorial](https://docs.tensordock.com/marketplace/running-jupyter-notebook) to open your Disco Diffusion `.ipynb` on Jupyter Notebook
Any of the .ipynb files are valid versions of Disco Diffusion
## 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:
*
*
