VALDI: Launch the Stable Studio - storj/secure-stable-diffusion GitHub Wiki

Prerequisites

Find the external port number of Stable Studio

The Stable Studio runs on port 3000. This is the port number inside the Docker container, and it is not directly accessible. In the Launch the Docker container in inference mode step, this port was mapped to the host's HTTP port 80. This port is not directly accessible too. The VM forwards it to an external port through the firewall. You can connect to this external port number.

You can find the external port number on the VM info page.

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Connect to the Stable Studio

Open your web browser at the following URL:

http://<ip-address>:<external-port-number>

Replace <ip-address> with the actual IP address of your VM and <external-port-number> with the port number identified in the previous step.

Configure the Stable Diffusion Web UI address

The Stable Studio is launched with the Stable Diffusion Web UI plugin. Enter the address of the Stable Diffusion Web UI backend in the Host URL. Follow the instructions in Launch the Stable Diffusion Web UI to find the address of the Stable Diffusion Web UI backend.

Note: Remove any trailing slash / from the address as Stable Studio if there is one.

If you see a status message "Ready without history plugin", you are good to go. Click on the "Generate" button in the top left corner to return to the main screen.

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Select the model and sampler

Expand the Advanced section in the left sidebar.

Click on the "Select a model" drop-down and select a model.

Click on the "Select a sampler" drop-down and select a sampler.

Note: If you see a drop-down displaying "Loading samplers..." like on the screenshot below and they never load, try refreshing your web browser and repeat the steps.

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Start dreaming

You are now set to start dreaming in Stable Studio.

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Next step

Train your model and upload it to Storj.

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