{"id":2353,"date":"2023-03-06T20:31:48","date_gmt":"2023-03-06T20:31:48","guid":{"rendered":"https:\/\/promptmuse.com\/?p=2353"},"modified":"2023-04-07T10:11:52","modified_gmt":"2023-04-07T10:11:52","slug":"run-stable-diffusion-on-any-device-with-runpod","status":"publish","type":"post","link":"https:\/\/promptmuse.com\/run-stable-diffusion-on-any-device-with-runpod\/","title":{"rendered":"Run stable diffusion on any device with Runpod"},"content":{"rendered":"

This technical documentation provides step-by-step instructions for setting up a stable diffusion workspace on Community Cloud with ControlNet extension. Stable diffusion is a machine learning model that can be used for image and video generation<\/a>, among other applications. ControlNet is an extension that provides an easy-to-use interface for interacting with stable diffusion models. The following instructions assume that you have already created an account on the Community Cloud platform.<\/p>\n

Step 1: Setting up Billing<\/h2>\n

Once signed up, navigate to the billing section to add your credit amount. The minimum amount is $25. This is a good starting amount for creating your workspace.<\/p>\n

Step 2: Choosing a GPU<\/h2>\n

Navigate to the Community Cloud using the left navigation panel. From here, choose the GPU you would like to use. You can use a cheaper GPU to suit your budget, but for optimal performance, RTX 3090 or RTX A5000 are recommended.<\/p>\n

Step 3: Setting up the Stable Diffusion Workspace<\/h2>\n

Select the desired GPU and set up your template for which stable diffusion you wish to use. Choose Runpod stable diffusion v 1.5 as your template. Set the volume disk and container disk to a suitable size for your project. A recommended size is 60 GB for each disk. Click on continue to initiate the pod build.<\/p>\n

Step 4: Connecting to the Workspace<\/h2>\n

Once your workspace is ready, click on Go to my pod to access it. Here you can see your workspace being set up, which may take a few minutes. Once your workspace is ready, the connect button will be active. Click on the connect button. You will now be presented with two buttons:<\/p>\n